AI News Digest 2026-10-15
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- Gemini 4 Argon is now available worldwide as Google's most capable frontier model
- DeepSeek Nears $14 Billion Funding Round, Double Its Original Target - Seoul Economic Daily
- DeepSeek's Liang Wenfeng Is Meeting Embodied AI Founders as the Company Weighs a Move Into Robotics - Pandaily
- The AI race: China's open-weight models trail US closed models by just 7 months
- Grok Voice 3.0 Launches — Already Handling Starlink and Tesla Calls - BASENOR - Tesla Accessories
- X Launches 'The X Subscription': Grok, Cursor, and Premium in One Plan From $8/Month - BASENOR - Tesla Accessories
- UK media watchdog warns X over illegal hate content despite moderation speed improvements - The News International
- Elon Musk Proved Grok Can Buy Lego Sets – and Accidentally Proved How Easy It Is for X Users to Punk Him - Yahoo Tech
- Elon Musk accidentally exposes his personal details in Grok screenshot - Austin American-Statesman
- Character.ai will shut down if no buyer emerges, capping a fall from $2.7 billion Google deal to bankruptcy
- Anthropic’s self-replicating AI warning is alarming deja vu
- Redesigning source control at Anthropic
- Liquid AI Releases LFM2.5-24B-A2B: A 2B-Active MoE for On-Device Agents
- Meta Launches Muse Wonder and Muse Wonder Full: Benchmarks, Pricing and How to Use It
- AI agents aren't 'going rogue.' Frontier labs are skipping security basics (いいね相当スコア: 0)
- Communication app Zenzap raises $44 million in funding (いいね相当スコア: 0)
- Epic’s new games launcher is ‘vibe coded’
- Peter Thiel: You Know Who Else Wants to Regulate AI? The Antichrist. Thiel's 'Antichrist' lecture series in Nashville is reportedly focused on casting AI regulation advocates as antichrist enablers.
- MSX版『Lode Runner』バイナリ解析と組み込みアーキテクチャの復元 逆アセンブリリスト
- Cerebras CEO pushes back on AI doomsday warnings
- Alleged OpenAI spy vibe-coded a surveillance device using his wife's chatbot account
- OpenAI claims an ex-employee took its product plans and presented them to Apple
- Google Play now lets anyone build private, vibe-coded apps that run on Android
- Claude Code's new UI update is too ugly.
- ICE Planning $100M 'Nightmare' Domestic Spy Program
- Pg_vectorsearch: An index that is faster than pgvector's IVFFlat and HNSW
- TV4 postpones show after AI agent erases edited material
- Amazon pushes up prices across the Internet
- Iosevka is an open-source, sans-serif and slab-serif monospace font
- Anthropic opens Singapore office and signs MOU with the Government of Singapore
- v2.1.300
- v2.1.299
- Origin App Marketplace
- Amp puts AI agents to work beyond code with OpenAI models
- SentinelOne cuts malware analysis from weeks to hours
- How Third Moment Research runs 10,000 agents for 36+ hours
- The EU’s next chapter in AI is agentic
- Higgsfield takes AI video from 1 minute to over 10
- Research@ 2026: 10 ways we're amplifying human ingenuity
- Putting Earth AI to work: Geospatial agents for our planet's biggest challenges
- Analyzing technical documents with Deep Review
- Google DeepMind and Singapore Government collaborate to build fine-tuned AI model for scam detection
- HiRO-ACEv2: Simulating extreme weather at 3 km resolution for a fraction of the cost
- GitHub’s model for secret detection: Finding more secrets with less noise
- Inside Hyperdrive: How we solved a rare Hyperdrive MySQL caching bug
- Under the hood, off the hot path: How D1 scales to millions of databases
- Rewinding the exponential: How we keep hardware usage down
- Meta’s Generative Ads Model (GEM): Scaling the Central Model and Compute Engine for Frontier Ads AI
- Boost Your Pipeline: Top 6 CI/CD Integrations for Qodana
- How Cloud-Based Agent Sandboxing Works in Air
- KotlinConf Recap: Lessons from Verifone’s Architect on Kotlin in Mission-Critical Payments
- Lauterbach and JetBrains Announce TRACE32 Integration in CLion IDE
- What We Heard at AGNTCon Europe
- CI/CD Pipeline Observability Tools: How to Choose the Right Setup
- Python vs Go: A Practical Comparison for Developers
- Coding, Math, and AI: What’s Ahead for School Students in 2026–2027
- Optimizing Agent Reliability and Tool Calling Efficiency for Chip Design Using NVIDIA NeMo Gym
- How to Rewrite Apache Spark UDFs for GPU Acceleration with AI Agents
- NVIDIA Run:ai Is Now Open Source as Part of NVIDIA DSX AI Factory Platform
- Open models have real benefits. Do they outweigh the risks?
- AI labs are buying data from dead startups to train their models
- Researchers use AI to design proteins that cut up other proteins
- OpenAI, Google pushing new AI models easily tricked into making nudes, researchers say
- They war-gamed dimming the Sun. It went even worse than you think.
- YouTube Music launches new labels as AI-generated music floods streaming platforms
- Apate sends AI agents undercover to get scammed so they can gather fraud intelligence
- Deezer will soon let you filter out AI-generated music
- Save 50% on your TechCrunch Disrupt 2026 ticket and join the last 2 days in San Francisco’s Moscone West
- Floqer’s AI agents research sales prospects so teams don’t have to
- TechCrunch Disrupt 2026: Day 2
- Scimplify raises $25M to challenge China’s grip on critical materials with AI
- Science Corporation implants its vision-restoring chip in its first Stargardt disease patient
- Industrial Next wants factory robots to switch tasks in minutes, not weeks
- Flox Intelligence is building AI to keep wildlife away from trains, airports, and roads
- Facebook is giving users more control over their algorithm
- Laplace Intelligence red-teams robots and self-driving cars before they hit the real world
- Pluto Security raises $42M as AI gives enterprise security teams a new headache
- SpaceX and Google both said no. Now his software is riding a SpaceX rocket next to Google’s
- TechCrunch Disrupt 2026: Day 1
- YouTube sticks new labels on AI-generated songs
- My AI doppelganger tells me what to eat
- Microsoft has a new machine learning tool to improve weather forecasts
- Square’s new kiosk lets you talk to AI for help with your order
- Android is using AI to suss out scammers in Google Messages
- Meta Extends Confidential Computing to AI Glasses with Private Processing
- Google Antigravity SDK Adds Local Model Support for Greater Token Efficiency and Code Privacy
- Production Patterns for Agents, Evals, and LLM Costs: QCon AI New York 2026
- Google Deepmind’s New Resident Philosopher Tackles AI Ethics
- Researchers tracked down a rogue fleet of Chinese AI agents in the wild and actually talked to it
- OpenAI will reportedly ship at least one model this year but its flagship still needs alignment work
- Nvidia's Jensen Huang pledges $2 billion for Europe, $250 million in compute for UK safety labs
- AI guardrails designed to stop hackers are now blocking defenders, and Orion-1 aims to fill the gap
- 406 scientists demand AI models be cut off from the internet immediately
- Machine learning pioneer Michael I. Jordan dismantles AI doom rhetoric as "grand moralizing performance"
- Western mathematicians fear AI makes them dumber while China builds an entire alliance for it
- Framework Laptop 12、Wildcat LakeのLinux実測は前世代の1.26倍
- Linuxカーネル、LLM利用のAssisted-by必須を外すパッチが投稿
- npmのTrusted Publishing、1,500超がリポジトリ名の再利用で露出
- Argo CD、削除フックがAppProjectの制限を迂回する欠陥を修正
- AWS、通常のHTTPサーバーを載せるLambda Web Functionsを公開
- Bun 1.4.3、TypeScript 7.0.2と同じエラーを返す型検査を同梱
- 2Bのコード探索モデルColGrep-Agent、Claude Codeのトークンを34%削減
- TanStack Start 1.0が安定版に RC以来の本番利用を経てAPIを確定、Netlifyなども即日対応
- Microsoft、10月のセキュリティ更新でCVE約1,415件を修正 悪用済みはWindows ShellのMotW回避1件
- Ivanti Connect Secureに悪用済みゼロデイ CVE-2026-104935、10月3日から認証回避とRCEの連鎖でroot実行
- AWS CDK、2.267.0未満のアセット同梱で意図しないリンクを混入できた
- GitHub、pushした認証ユーザーをコミットに残すプレビューを開始
- Config Connector、別名前空間のSecret参照が未修正のまま公表
- Safari TP 254、calc-size()とinterpolate-sizeに対応
- Firefox 158、JPEG XLを標準有効化しCSSの型付き演算に対応
- Anthropic、Claudeの蒸留対策で推論の抜き取りを大幅に抑制
- 9 Best AI Gateways in 2026: Bifrost, Portkey, LiteLLM, Kong and 5 More Ranked
- How to Use Meta’s Rebalancer for Task Placement & Optimization
- Z.ai GLM-Legal Beats Claude Fable 5 and Kimi K3 on Harvey LAB
- Artificiality's First Exam: An LLM-Referenced C-test for Supraintelligence
- The Silent Failures in Agentic Data Science
- ClawLoop: Self-Improving Agents via Harness-Native Training Loop
- Correction Training for Diffusion Models
- Long-Horizon-Terminal-Bench 2.0: Automating Diverse Task Construction and Measuring Sustained Agent Progress
- VETNET: Assembling Benchmark Datasets for AI-Driven Veterinary Innovation
- Unconstrained CTI-REALM with Open-Weights
- Visualizing the World Model in an Agent's Value Function
- Cross-Modal Latent Influence: Patch-Level Training Sample Attribution for Vision-Language Models
- Should SLMs be in the Driver's Seat? A Study of Local Models as Interpreters in Cloud-Written Agent Programs
- Harness^2: Recursive Agent Harnessing for an Open World
- Echo: Error-Compensated 4-Bit Tensor-Parallel Communication for LLM Training and Inference
- Controllable Diverse Sampling through Pullback Directions
- ConicFlow: constrained Inference-time optimal control for flow matching models
- Which Metadata Matters for LLM Tool Selection in MCP? Evidence from Controlled Factor-Level Interventions
- Actionable Meta-Requirements for AI Robustness Auditing
- When Pleasing the User Compromises Care: AI Sycophancy in Caregiver-Mediated Healthcare
- ACED-Bench: Evaluating How LLM Agents Acquire and Act on Causal Evidence
- ANASSA: From High-Level Framework to Low-Level Architecture for Spatial Agentic AI
- Measuring the Inference Energy Efficiency of Open-Weight LLMs across Benchmarks, Reasoning Modes, and Hardware
- SAT-RL: Training Language Models for Logical Reasoning with Symbolic Solvers
- Frustratingly Easy Agentic RAG via Portable Skills: A Case Study in Customer Support
- AlignPoison: Conditional Targeted Poisoning of Generative Recommenders via Decoding-Aligned Prefixes
- HiPPT: Physiology-Grounded Wearable PPG Representation Learning via Multi-Scope Text Alignment
- Reels-RSI: Program-Level Self-Improvement for Code-Rendered Explainer Videos
- MontageFlow: Physically Valid High Fidelity EEG Generation
- ScienceBuddy-PV: A Verifier-Governed Recursive Improvement Protocol for Panvascular Intervention Research
- Energy Ring: Stabilizing Feature Energy for Reliable Test-Time Discovery
- FDE-Bench: Evaluating End-to-End Delivery from Underspecified Real-World Business Requests
- Are Multimodal Benchmarks Really Useful? Item-Level Multimodal Benchmark Diagnosis via Structure-Response Co-Calibration
- PsyMemBehav: Psychology-Informed and Memory-Grounded Two-Level Identity-to-Action Reasoning for Social-Media Behavior Simulation
- Learning after Execution with Action-Specific Credit
- CB-Agent: Concept-Based In-Context Learning for Sequential Action Selection
- Iterate on an LLM, Serve on an SLM
- Decoupling Knowledge Forgetting and Refusal Learning in MLLM Unlearning
- From Existing Methods to New Research Ideas: Two Perspectives on Recursive Self-Improvement
- PEARL: Process-Experience Aware Reinforcement Learning for Multi-Turn Agents
- AegisVox: Factorized Privacy and Clinical Preservation for Long-Form Speech
- Shaping Latent Mixture-of-Experts: From Expert Geometry to Layerwise Capacity Allocation
- RASSG: Repair-Aware Semantic Survival Gating for Streaming Tool Execution
- A Hybrid Kinematic GCN and Elastic Transformer for Efficient Indian Sign Language Recognition
- AcrossVAM2.0: Conflict-Aware Point Supervision for Parameter-Efficient Video Diffusion Adaptation
- Joint Discrete and SE(3) Diffusion for Protein Interface Design
- DSABench: Benchmarking Source Discovery, Coordination, and Execution for Multi-Database Agents
- How to Build a Benchmark That Actually Measures Taste
- Relational Semantic Grounding for Test-Time Discovery
- MHWA: Multi-timescale Hierarchical World-Action Model
- Think in Strategies, Act with Tools: Traceable Agentic Optimization for Combinatorial Problems
- SAGE: Pushing 2-Bit Vector-Quantized LLMs toward Real-World Usability
- Equal-information evaluation of credit assignment in modular financial reinforcement learning
- GateSight: Recurrent Memory Anticipates Attention Memory for Query-Agnostic KV Eviction in Hybrid LLMs
- CUSE: Fine-Grained Multimodal Unlearning with Counterfactual Guidance and On-Policy Self-Distillation
- How Should a Camera-First AI Agent Work?
- ProgAgent: Learning Tool Orchestration through Programmatic Training
- LYNX: Analytical Program Synthesis via Grounding and Closed-Loop Refinement
- Counterfactual Regret for Reflective Agents with Lean-Verified Guarantees
- GREAT-ESDD: Graph Edge Attention Network for Effectively Steered Delivery Decisions
- CESNET-TimeSeries26: A Multi-Year Network Traffic Time Series Dataset for Annual Seasonality, Concept Drift, and Long-Term Anomaly Detection
- ASIWorld: Benchmarking Autonomous Agents in a Persistent Survival Sandbox
- A Reference Architecture for Integrating Agentic AI into Enterprise Software: Responsibilities, Interactions, and Variability
- EvoCowork: A Benchmark for Real-World Office Tasks
- Pre-Registered Genesis Accounting for Recursive Self-Improvement: First Audited Operator-Genesis Events in a Physics-Discovery Runtime
- PEAM: On-device Communication Agent for Personalized, Efficient and Autonomous Mobile Network Configuration
- WeatherBridge: Forecast-Aware Multi-Source Input Adaptation for Pretrained Weather Forecasting Models
- Beyond Outcome Feedback: Trajectory-Quality-Guided Experience-based Learning
- MARL-BattleGrounds: A Novel JAX-native Benchmark for Heterogeneous and Competitive Multi-agent RL
- Probable but Not Valid: A Psychometric Audit of Decision Models as Synthetic Survey Respondents
- Bridging Risk Approximation Gaps in Model Predictive Task Sampling via In-Context Modeling
- WorkBorne: Discovering Agentic Tasks from Real-World Artifact Transitions
- SkillForgeBench: Evaluating Agent Reliability Grounded in Agent Skill Specifications
- Predicting how model propensities generalize out of distribution
- VC-OPD: Visual Counterfactual On-Policy Distillation for Grounded Vision-Language Reasoning
- MCPDisCo: Seesaw-Mitigated Tuning for MCP-Native Agents
- What Survives When Activation Steering Is Used as Memory
- AlphaRLM: Aligning Language Models for Literature-Grounded Symbolic Factor Discovery
- SkillHorizon: Constructing Long-Horizon Agent Tasks through Skill Composition
- FleetPilot: Fine-Grained Steering Empowers Real-World LLM Personalization
- Single-Sample Decoding of a Two-Layer Sound-Word Canvas Model for Thai Klon Pad
- Certify the Decision, Not Every Score: Exact Top-k Selection from Few Evaluations
- Can You Trust Your Preference Models? Stackelberg Games for Alignment
- On the Complexity Gap Between POMDPs and Multi-Environment POMDPs
- Belief Embedding Tree Search
- Trace Evolution Bench: Measuring Whether Agents Improve from Their Own Environment Traces
- Exposing AI Inference as a Telco Network API over the 5G User Plane
- Knowledge transfer between simple discrete worlds
- Self-Evolving Visual Agent via Margin Reward
- Structural Chain-of-Thought: Reasoning with Executable Computational Graphs
- GesBench: When and Where Do Multimodal Language Models Perceive Social Meaning?
- Trust Hinders Bidirectional Human-AI Alignment
- Single-step Retrosynthesis via Reinforcement Learning from Forward Feedback
- Harmony Harness: Multi-Objective Self-Evolution of Agent Harnesses
- Can agents whose sole duty is to keep humans alive be hijacked to kill? Delayed multi-turn derived-action trap attacks in simulated high-stakes environments
- Continuous Risk-Based Scheduling for Food Safety Inspection: Integrating Historical Decay with Event-Driven Consumer Review Signals
- SocraticRepair: Planning-Guided Socratic Tutoring for Program Debugging and Misconception Repair
- Running Fewer Loops Removes Refusal Behaviour in Recurrent-Depth Language Models
- HarnessNet: Feedback-driven Hierarchical Joint Harness Evolution for Multi-agent Systems
- Understanding Unified VLMs: From Attention Probing to Guidance Tuning for Multimodal Generation
- Words to World: Benchmarking LLMs in Interactive Physical Environments
- Using Evidence-Centered Design to Guide Prompt Engineering in Measurement: An Illustration with Automated Essay Scoring
- MoMaTune: Model, Match, Then Tune Language Models for Numerical Records
- ClinEdge: An Expert-Graded Benchmark of Real Patient Edge Cases Where Frontier Multimodal Models Fail
- RECAP: Calibrating Low-Bit Reasoning Models on the History They Read
- OntoAR-HAR: Ontology-Guided Agentic RAG with Personalized Memory for Human Activity Recognition
- CHEAR: Confusion-Hierarchy Evidence-Aware Reasoning for Cost-Efficient Human Activity Recognition
- SuperAI: Merging Capabilities Across Heterogeneous Foundation Models
- MultiFlow: Vision-Driven Multimodal fMRI Encoding via Stimulus-Informed Source Flow Matching
- TRACE: Temporal Risk Assessment and Concept Editing for Safer Language Generation
- Fewer Bits, More Tries: Recovering Capability Under Memory Constraints
- Analyzing the Dynamics of WSBM-based Echo State Networks using InputDSA
- A Decade of PhotoMappers: A Longitudinal Study of Crowdsourced Disaster Photos Geolocalization with Vision-Language Models and Geospatial Reasoning
- State Representation Shapes Long-Horizon Agent Learning and Transfer: An Empirical Study
- CoverSynth: Coverage-Guided Generation of Retrieval Evaluation Sets
- SpecFit: Not All Draft Tokens Cost the Same in Offloaded MoE Inference
- Hidden in Plain Sight: Advancing Harmful Content Understanding via Perception-Aware Adversarial Self-Play
- Scalable Robust MCTS with Anytime Deterministic Optimality Guarantees
- MemeLogos: Knowledge-Driven Retrieval-Augmented Reasoning for Harmful Meme Detection
- SkillFusion: Towards Reliable Multi-Skill Composition for LLM Agents
- When Skills Remain But Access Fails: Factorized Skill Memory for Continual Skill Internalization
- Large Decision Models: Repurposing Large Language Models as Single-Pass Decision Makers
- Data Portability Revisited: Toward the Human-Centric, AI-Driven Data Ecosystems of Tomorrow
- Agent-Canary-Mas: End-to-End Evaluation of Protocol Risk in Long-Horizon Multi-Agent Systems
- Self-Representation Alignment in Diffusion Models for Video Background Music Generation
- Inverse Garment Design with Visual Agents
- CondMSP: Condition-Informed and Resource-Aware Inorganic Materials Synthesis Planning
- From Stages to States: Unified Iterative Reasoning for MLLMs
- Big-Big-SycoBench: A Benchmark to Detect Sycophancy Through Model Responses to Valid vs. Invalid Arguments
- Recall What Is Missing: Composing Evidence from Long-Term Agent Memory
- Knowledge Interaction in Hypernetwork-based Continual Learning: Conflict and Composition
- Radioactive Feedback: Tracing Models Trained by Label-Only LLM Supervision
- FARL: A Fully Automated Pipeline of RL Interface and Solver Design
- SpecForge: Recursive Self-Improvement for Coding Agents via Behavioral Specifications
- Suggested Is Not Superseded: A Pre-Registered Evaluation of a System-One Model as a Memory-Retirement Gate
- MedHarnessBench: A Unified Benchmark for Healthcare Agent Evaluation
- History Replays Itself: Unleashing Long-Context Capability in Linear Attention
- Visible but Not Avoided: State-Dependent Re-Proposal of Rejected Candidates in Catalog-Based LLM Optimization Loops
- Google Earth AI Geospatial Reasoning Agent: Capabilities and a Systematic Evaluation
- Agent Sociodrama: Social-Dynamics-Guided Persona Recasting for LLM Agent Teams
- Passing Tests, Missing Semantics: Evidence of Interpretive Lock-In in Plan-Based DataFrame Code Generation
- Attention Sinks in VLMs Are Borrowed, Not Seen
- Engram Injection: A Study of Temporal Validity in Parametric Language-Model Memory
- RetryBench: Separating Retry Permission from Recovery Outcomes in GPT Tool Use
- Comparative Study of Canvas- and Coordinate-Based Geometry-Conditioned Neural Networks for Real-Time Prediction of Indoor Environments with Varying Room Dimensions
- LURE: a Phase-Labelled Synthetic Corpus of Online-Grooming Exchanges
- Multi-Horizon Explainable Queue Forecasting and Resource-Aware Decision Support for Intelligent Border Control Using LightGBM
- The Anatomy of a Blind Spot: What an LLM Judge Must Be Shown, and How Much
- Vision: "What Don't I Know About User's Preferences?" How Uncertainty Estimation Improves Proactive Assistant Alignment
- ADAPT: Audio-Depth Action Planning with Transition-Aware Rewards for Lights-Out Industrial Navigation
- Small but Mighty: Test Suites as Improvement Signals for Self-Evolving Agents
- PopGen: Generating Semantically Diverse Populations for Zero-Shot Coordination
- Revocation Is Not Complete at Receipt: An Executable Outcome Contract for Distributed Agent-Tool Gateways
- Handoff Curves: Initial Selection, Later Handoff, and Supervision Targets in Multi-turn LLM Routing
- Large language model-generated patterns for epidemiological modeling: a multi-benchmark evaluation framework
- Computational Reflective Equilibrium for Agentic AI: A Rawlsian Alignment Scaffold for Governance
- Cross-Protocol Personality Assessment with LLMs: Aligning Behavioral Evidence with Human Ratings
- Understanding and Reducing Misalignment in Persuasion Optimization
- Beyond Single-Pathogen Forecasts: Predicting Shared Respiratory Hospital Burden from Influenza, COVID-19, and RSV
- Heterogeneous Agentic Coevolution
- The Sharp Directions Are Against You: Curvature Analysis of Activation Steering
- GUIDE: Computationally Augmented Consensus for Trustworthy Clinical Practice Guidelines
- Constructed regional photovoltaic generation fields improve ultra-short-term distributed solar forecasting
- Beyond Perfect Teammates: Multi-Agent Collaboration with Unreliable Colleagues
- Imitation Holds a Key to Evolution: Localized Repair and Verified Skill Acquisition for Adaptive Agents
- Large Language Model Assisted Transportation Planning through a Differentiable User Equilibrium Layer
- Phantom Merge: When Your Large Language Model Agents Pick One but Tell You About Another
- Pollard: Governed Semantic Execution Trees for Framework-Independent AI Agent Control and Replay
- Uncovering Robustness Weaknesses in LLM Agents via Persona Evolution with Task-Integrity Constraints
- Interactive 4D Volumetric Liquid Forecasting under Moving-Solid Interaction
- ProCARE: Real-World Study Automation via Profile-Grounded Evidence Contracts
- Label-Centric Knowledge Retrieval for Zero-Shot Text Classification
- Correct Choices, Failed Sequences: Choice2Seq Benchmarks Correctness Retention Across Output Interfaces
- OneShot: Label-Efficient Detector Weighting for Time Series Anomaly Detection
- Learning to GUIDE the Group: Self-Learning LLM Facilitation Across Multi-Party Tasks
- ScreenASR-Bench: A Tiered Benchmark for Speech Recognition with Visual Context
- Hardware-Friendly Token-Group Activation Quantization for Low-Bit Mamba Super-Resolution
- agent-risk: Risk Assessment for Changes to AI Agents
- REVEAL: Reverse Engineering Agentic Latents from Frontier-Model Traces
- Memory-Efficient Integer-Only Training of Deep Neural Networks
- FON: A Draft-Revise Dual-Organ Language Model without Sequence-Level Quadratic Attention
- Narrative Paradoxes in LLM Inference: Shaping Reasoning Trajectories toward Misalignment
- ReTAC: Residual Test-Time Agentic Computation for Video Spatial Reasoning
- HyWe: Unifying Search and Operation for Real-World Hybrid Web Tasks
- When a Conceptor Complement Becomes Gain: Operator Geometry and Behavioral Attribution in Language Models
- TRAP: Tool-result Replay Attack for Probing Misbinding in LLM Agents
- Efficient Multi-Agent Reasoning via Confidence-Guided Adaptive Debate
- ChronoScribe: Semantic-Numerical Specialization for Instruction-Driven Time Series Forecasting
- World Models Need a Physical Registry: Learning Internal Predictive States for Physically Plausible World Models
- RetroPlanner: Multi-Route Expansion and Multi-Objective Reasoning for LLM-Based Retrosynthesis Planning
- Recursive Environment Scaling for General Long-Horizon Agents
- EvoWeb: A Benchmark for Coding Agents on Evolving Web Applications
- SLS-Bench: A Benchmark for Incident Log Summarization with Synthetic Observability Data
- Chain Dimension Scaling: Communication-Efficient Loop-Style Scaling for Industrial Short-Video Ranking
- AuthGateBench: Benchmarking LLMs as Authorization Gate
- RAP-WAM: Learning World-Action Models through Predictive Rehearsal and Action Perturbations
- XAI-Guided Fourier Domain Generalisation for Pure-Simulation Sim-to-Real Deep Reinforcement Learning
- PXRD-Bench: How Close Are We to Determining Crystal Structures from Powder Diffraction?
- Boosting the Learning for Ranking Patterns
- EAU: Environment-Agent-User Co-evolution for Training User-Centric Agents
- Does the Explanation Drift Before the Guarantee? Label-Free Early Warning on Evolving Graphs
- Overtaught, Underlearned: Learner-Centered Distillation from Multi-Agent Discussion
- Making Language the Low-Rate Code of Vision: Successive Refinement from Words to Pixels
- AI Discovery in Combinatorics: From Problems to Solutions and Back to Bigger Problems
- G$^2$WAM: World Action Models for Efficient and Geometry Grounded Image-Goal Navigation
- Double-Rollout Reinforcement Learning with Sampling-based Reward Estimation
- When 1+1 Backfires: Rethinking Relevance-Diversity Balancing for Sample-Aware Visual Token Reduction
- Weak Segmentation-Guided GAN for~Realistic Color Edition
- LATCH: LLM-Assisted Timing Closure Harness for Post-Route FPGA Optimisation
- Does a Hosted Decision Model Respect Irrelevant Alternatives? A Pre-Registered Test of Option-Set Dependence in Jev
- Structural Baselines Matter for Agent Failure Detection and Attribution
- Trace-to-Architecture: Capability Bottleneck Diagnosis for Harness Revision
- Queue-Aware Token Communications: Bridging AI Representation and Wireless Service
- Separating Prompt Harmfulness from Interaction Safety via Partial Generation
- Geospatial Vector Geometry as a Native Spatial Modality for Vision-Language Models
- Game-Creation-Agents: Autonomous Game Production
- LIBERO-Industry: Benchmarking Robotic Manipulation under Industrial Process Constraints
- Same Operation, Different Permission: Evaluating Whether Guardrails Honor Authorization
- CLIVO: Differentiable Cluster-Based Instruction Mixing with Learned Validation Objectives
- Acceptable Misalignment
- Transparency as Answerability: Role-Dependent Information Flow Modeling
- Observe, Share, or Predict? Disentangling Partner Information in Embodied Multi-Agent Collaboration
- Neural Bayesian Networks for Modular and Scalable Decision-Making Under Uncertainty
- Audit tools of the trade: Automated Auditor Elicitation Can Be Sensitive to the Context the Auditor Is Given
- Transparent Information Flow Modeling for Role-Aware AI Act Assessment
- WeFair: Fidelity-Aware Alignment from Human Feedback for Personalized Query Rewriting in Short-Video Search
- MADDIE: Multi-Agent Drug Discovery Engine
- PRAISE: A Reproducible Workflow for Non-Programmer Scientists to Implement Published AI Models
- Glasseek: A Transparent Recipe for Training and Trustworthy Evaluation of DeepSearch Agents
- Understanding Personalization Gains in Whisper
- Benchmarking Quantum Kernel SVMs for Credit Card Fraud Detection: Performance Realities Under NISQ Constraints
- Neos: Learning to Interleave Search and Visual Reasoning
- VL-DocIR: A Benchmark for Vision-Based Long Document Information Retrieval
- PatientWM: Towards Generalizable Clinical World Models via Unified Patient States
- SFT Leaves a Reproducible Signature in Activation Geometry: Calibrating Post-Training Interpretability Against Run-to-Run Noise
- When LLM Agents See a Conflict but Still Proceed: Cross-Domain Dependencies in Network Slicing
- EvoQuantLab: Training-Free Dual-Loop Evolution for Auditable Quantitative Research
- The Format is the Filter: Scoring Format Fixes What an LLM Judge Can Express
- Learning Perceptual Geometry of Natural Odor Mixtures from LLM-Derived Descriptors
- ChemExplain: A Multimodal Benchmark for Explanatory Chemical Reasoning
- Size Generalization for Diffusion Routing Solvers
- Releasing the Inner Jev: A Simple Recipe for Open Decision Models
- AutoMARS: Automatic and Scalable Multi-Agent Large Language Model Framework for Supply Chain Risk Assessment
- IsoVRBench: Video Reward Modeling Without Human Feedback
- Does a Governed Confidence Score Know When a Text-to-SQL Answer Is Right? An Exploratory Study on BIRD and a Pre-registered Confirmation on Spider
- RL Post-Training Diffusion Language Models Along Their Own Generation Paths
- Reasoning for Propaganda Detection via Label-Guided CoT Optimisation
- PhysCodeGym: Benchmarking Coding Agents for Physically Verifiable 4D Reconstruction
- Towards Resilience: Slice-Driven Orchestration of Mobile IoMT in 6G-Edge-Continuum
- The Agent Knew: Internal States Forecast Unauthorized Actions and Stop Them, and the Lies That Follow
- Reliable Text-to-SQL in Resource-Constrained Settings with Small LLMs via Iterative Retry Workflows
- Beyond Successful Play: Diagnosing Opponent Modeling in Large Language Models
- Do Theorem Provers Need Theorem-Proving Agents? mini-Lean-agent: A Coding-Agent Baseline for Lean
- Budgeted KV-Cache Repair for Evolving Contexts
- When Goals Leak Across Relationships: How Cached Goal Representations Shape Cross-Client Decisions
- What Makes a Latent Space Shared? Direct and Recoverable Compatibility in Motion VAEs
- Get In, Decide, Prove: A Merchant-Side Readiness Benchmark for Agentic Commerce
- EPOCH: Coverage-Aware Evolution with Experiential Preference Optimization for LLM-based Automated Heuristic Design
- Learning to Play: Reinforcement Learning and Games
- Generalizable field of view extension for diffusion MRI via conditional flow matching
- Agency as a New Organizing Abstraction for Computer Science
- SchemaWeaver: Accelerating On-Device Mobile Agentic AI via Schema-Guided Parallel LLM Decoding
- Large Language Models Extend Known Research But Do Not Create New Research Directions
- An FPGA-Based Spiking Neural Network for Spatiotemporal Pattern Learning and Classification
- REA: From Correct LLM Judgments to Safe Decision Delivery
- TacitVLA: Reasoning Vision-Language-Action Models Without Reasoning Latency
- Reference Wording Shapes Retrieval of Robot Task Instructions
- RAN-JEPA: An Action-Conditioned World Model for Energy-efficient Mobile Network Control
- Verifier-Harness Co-Evolution for Training-Free Self-Improvement on Open-Ended Tasks
- OpenDepth: Repurposing Image Editing Priors for Robust Open-World Monocular Depth Estimation
- MAS-Gate: Unlocking Multi-Agent System Lifecycle via Node-Centric Quantification
- Executable Prefix Values for Locating Agent Failures
- Beyond Bias Scores: Answerability Confounds in Activation Steering with Gradient-Constrained Direction Design (GCD)
- When Should Enterprise Policy Decisions Be Learned, and When Should They Be Reasoned?
- Can Agents Truly Forget? Explore Machine Unlearning for LLM Agents
- RoTA-Bench: Evaluating 3D Spatial Reasoning through Interactive Projection Alignment
- Cowork-Gym: Synthesizing Interactive Work Environments at Scale
- Encounter-Driven City-Scale Human Mobility Generation with Large Language Models
- Stable Token-level Scheduling for Serverless LLM Inference
- MedEvo: Medical Reasoning Evolution through Knowledge Navigation
- Understanding Gene Expression-to-Image Learning: Spatial Structure and Information Fidelity
- A Node Embedding Framework for Model-Centric Conformance Checking in Process Mining
- Adaptive-Group Process Rewards for GUI Agents
- ECG-RSI: Recursive Self-Improvement through Targeted Electrocardiogram Waveform Evolution
- Keep Your Receipts: Trustworthy Cleanup of Agent-Built Knowledge Graphs
- Upstream Influence, Downstream Re-Anchoring in LLM Agent Chains
- Evidence-First Agentic Verification
- Safety for Whom? Benchmarking Understanding Beyond Refusal in Egocentric Multimodal Assistants
- DuplexAct: How Interactive Are Frontier Full-Duplex Spoken Language Models?
- Coupled Harness--Model Evolution for Scientific Equation Discovery
- Instructions Are Evidence, Not Objectives: Measuring Outcome Alignment of Agents
- Autonomous 3D Visual-Thermal Inspection for Utility-Scale Solar Farms
- Memory Echo in Single-Agent Long-Term Memory: Lifecycle Evaluation and Provenance-Guided Mitigation
- Agentic4PDM: Host-Governed Evidence Admissibility for Industrial Fault Diagnosis
- Empowering Edge Agents: A Systematic Analysis of Edge-Cloud Collaboration in LLM Agent Execution
- Benchmarking and Training Reward Models for Cross-Source Evidence Grounding in Search Agents
- Learning Adaptive Deliberation Control for Reliable Recognition with Multi-Agent Language Models
- Socratic Skill Learning: Interleaving Teaching and Practice for Transferable Agent Skills
- ECMR: Evidence-Aware Deliberation Control for Multi-Agent LLM Reasoning
- Training LLMs for Multi-Agent Collaboration with Verifiable Information Rewards
- PaceReasoner: Label-Free Learning to Answer Briefly from Long Reasoning
- Learning How to Remember: Memory Modality Selection for GUI Agents
- Seeing Depth but Choosing Cues in Vision-Language Models
- SHELDON: Reasoning through Dual Search over Hypothesis and Observation Spaces
- Beyond Black Boxes: Visual Grounding for Text Embeddings
- Can Agents Forget When Asked? A Benchmark for Memory Unlearning in LLM Agents
- WorkRover: Scaling Long-Horizon Cowork Agent Training Via Recursive Environment Evolution
- AReaL-RSI: Adaptive Scaling and Coordination of Recursive Self-Improvement
- ResearchFlow-Eval: Tracing the Execution Gap in End-to-End Multi-Claim Autoresearch
- One-Sided Verification Under Limited Expert Review
- AM-Bench: Understanding Agents under Task Underspecification across Models and Harnesses
- LifeSearch: Benchmarking Deep Research Agents for Real-World Life and Productivity
- CompanionSafe: From Multi-turn Safety Evaluation to Guardrails for AI Companions
- Chain of Thought Monitoring Can Fail Even When CoT Is Necessary
- Fresh at Decision, Stale at Action: Routing New Information to LLM Decisions Already Made
- Monitoring latent reasoning in looped language models
- Mitigating Cross-Modal Hallucinations by Correcting Modality Misrouting in Omnimodal LLMs
- RadixFlow: Filling Execution Bubbles in Prefix-Cached Hybrid LLM Serving
- When and How Order-Flow Interventions Work After Dealers Adapt
- Back to the Future: Reverse-Consequence Modeling for Long-Horizon Particle Dynamics
- Neuro-Symbolic Graph Transformers for Hierarchical Intention Recognition from Multimodal Human Activity Sequences
- QORH: Learning Query-Specific Ordered Rule Hypergraphs for Inductive Knowledge Graph Link Prediction
- Consider, Then Choose: Order-Invariant Decisions in System One Models
- Beyond Answer Sharing: TrueMAD for Targeted Peer Engagement in Multi-Agent Debate
- Output Discipline Sets the Floor: A Falsification-Guided, Model-Agnostic Agent Protocol for Auditable Hypothesis-Driven Decision Making
- A dataset of formalised theorem statements from the Annals of Mathematics
- Efficient Safety Guardrails through Latent Dual-Hypothesis Reasoning with On-Demand Trace Reconstruction
- Complex materials engineering via Provenance Action Graphs: potential, structure and demonstration
- AssetForge: Asset-Augmented Task Synthesis for Business Automation Agents
- Choosing LLMs for Strategic Agent Interactions
- ABot-ER: Unified Embodied Reasoning through Agentic Data-Model Co-Evolution
- Delegating Earth science model calibration to knowledge-guided LLM agents
- The Singularity Has a Distribution: Exact Timing Laws and Detection Limits for a Stochastic Intelligence Explosion
- Thinker-WM: A Unified World Model with Shared Multimodal Representations for Embodied Intelligence
- Autonomous Science Bench: Evaluating AI Agents for Autonomous Scientific Discovery
- ReTerm: Recovery Training for Self-Improving Terminal Agents
- Judges Follow the Reference: The Derivation Gap in Verifying Tool-Call Arguments
- The Smart Buildings Challenge: Learning Foundation Models for Real-World Optimization at Scale
- Lost in Implicit Routing: How LLM Agents Fail to Load Relevant Skills at Scale
- Input-Conditioned Search for Efficient Test-Time Scaling of Recursive Reasoners
- Rethinking Quality in Large Language Model Routing: Security-Conditioned Model-and-Budget Selection
- Configuring RAG Systems: What Breaks, Where Originates, and How to Fix
- Order-Consistent Latent Geometry for Reliable Short-Horizon Planning in World Models
- LLM Agents for Automated Post-Training via Structured Recipe Optimization
- Reading Right, Acting Wrong: Diagnosing Decision Failures of System One Models in Agent Loops
- Compare to Correct: Pairwise-Guided Logit Adjustment for LLM Test-Time Scaling
- Auditing Future-Memory Use in Point-in-Time Language Agents
- AgentStripes: An Evidence-Graded Maturity Model for AI Agents
- Beyond Answer Voting: Fine-Grained Correction of LLM Reasoning through Graph Alignment across Sampled Traces
- Can an Agent Learn to Predict Its Own Failure? Outcome-Grounded Confidence Calibration in LLM Agents
- Two Routes to Interoceptive Prioritisation: Dissociating Likelihood Precision and Preference Reweighting in Active Inference
- To Align or Not To Align: Check Your COMPASS Before You Train
- Knowing the User Is Not Knowing What We Established: Grounding Awareness in Personal Agents
- Unlocking Token Rewards via Training-Free Reward Attribution
- Beyond the Verdict: Agentic Code Judging with Verifiable Feedback
- Jeva: System One Models from First Principles
- BLADE: Auditing Information Use for Failure Attribution in LLM Multi-Agent Systems
- Pack Light, CarryOn: Building Object-Oriented Context for Long-Horizon Agents
- Self-Evolving Agent Harness
- Read the Room Before Your Model Generates
- Who Improves the Robot? Toward Physical Recursive Self-Improvement
- MFG: Multi-turn Feedback Guided Molecular Optimization
- AesCode: Aesthetic Code Generation with Decoupled Cross-Modal Rewards
- Subgraph-Aware Training of Language Models for Knowledge Graph Completion Using Structure-Aware Contrastive Learning
- EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses
- Latent Algorithmic Structure Precedes Grokking: A Mechanistic Study of ReLU MLPs on Modular Arithmetic
- Selective Knowledge Control for Continual GUI Agent Learning over Application Streams
- Dependency, Compression, and Synergy: A Unified Information-Theoretic View of Multimodal Learning
- MRFlow: Mechanism-Structured Residual Flow Matching for Virtual Cell Perturbation Prediction
- Predict Before You Modify: Learning Improvement Dynamics for Self-Evolving Agents
- Posterior Flow Matching
- GameSmith: Scaling Zero-Sum Self-Play with Synthesised Games
- Splicing Hints into Reasoning Traces: Learning from Demonstrator Failures
- SharedSAE: a unified sparse dictionary across u-net blocks and denoising time for diffusion models
- Enhanced Trading Systems with Intelligent Market Analysis
- SemTree: Judge-Aware Semantic Decision Trees for Inspectable and Repairable Rule Decisions
- VH-GPO: Verified Handoff for LLM Agent Reinforcement Learning
- PreSO: Privileged Representation Isolation for On-Policy Self-Distillation
- Showing versus Doing: Teaching by Demonstration
- Coding LLMs Can Be Harnessed to Learn Interpretable Models from Data
- What Can Language Models Inherit from Solomonoff Induction? Limits, Attainable Properties, and What Served Conditionals Reveal
- When Log Parsing Removes What Matters: Detecting Failures in Distributed GPU Workloads
- Physics-Informed State Space Models for Day-Ahead Photovoltaic Power Forecasting
- Bias Robustness of Genetic Multi-Criteria Sorting versus Learned Rankers under Proxy Skew and Label Contamination
- Barycentric Anchored Weight Search for Robust Model Merging
- RoboHarness: A Simple Harness Outperforms VLA and World Actions Models
- LabInstruct: Benchmarking Situated Instructional Video Generation for Lab Procedures
- CoEvoke: Evoking Multi-Agent Collaboration for Trajectory Collection
- OPMD: On-Policy Mechanism Distillation Beyond Output Supervision
- Contrastive Covariance Subspaces for Activation Steering
- Pick the Mixture, Not the Samples: Combinatorial Data Selection for LLMs
- Can We Trust This Evaluation? Instance-Level Reliability of LLM-as-a-Judge
- Rotate the Loop: Blockwise Conformality for Looped Transformers
- PLDiv: Measuring Dataset Diversity and Semantic Collapse via Persistence Landscapes
- A Geometric Perspective on Reward Function Updates in Inverse Reinforcement Learning
- Reinforcement Learning from Real-Robot Interaction without High-Quality State Estimates
- The Future of AI-assisted Physics: Discovering, Verifying and Organizing Results via Formalization
- Auditing LLM Program Search for Bermudan Stopping with Primal--Dual Certificates
- Loose Lips: Understanding Privacy Leakage in Agentic Dialogue
- Is the Future Predictable? Modeling Future Predictability for Reliable Temporal Reasoning
- One Model, Multiple Compute Budgets: Multi-Ratio ConceptMoE for Flexible Compute Across Turns
- Two-Stage Multi-modal Learning for Dynamic Audio-Visual Navigation: From Physical Alignment to Scene Aggregation
- SAGE: Efficient Protected Vision-Language Inference on Smart Glasses
- Embodied Zero-Shot Task Planning via Hardware-Aware LLM-VLM Integration for Grounded Robotic Manipulation
- Beyond Discrimination: Evaluating Probability Calibration in Radiomics-Image Fusion for Renal Cell Carcinoma Classification
- Beyond Gate Weights: Decision-Level Interpretation of Radiomics-Image Feature Fusion for RCC Classification
- Next-Concept Modeling: Fast, Parallel Coarse-to-Fine Text Generation
- Do you "see" what I "see"? A Multi-panel Visual Question Answer Dataset for Large Language Model Chart Analysis
- Cortex: Measurement-Gated Evolution and Pruning of Coding-Agent Skills and Rules
- Learnable Low-Rank Polynomial Sketch for Effective Linear Attention
- CAPTOR: a vision-language foundation model for Chest-Abdomen-Pelvis Oncologic CT
- Latent World Action Model for GUI Agents
- Agentic Data Engineering for LLMs: System Design and a Controlled Empirical Study
- Akule: Fast and Scalable Multi-Robot Motion Planning via Sparse Interaction Diffusion
- The RNN Homunculus: Learning to Gate Long-Term Memory
- GeoFix: Geometry Fixing for 4D Consistent Generation
- RUBATO: Decoupled Clocks Allow Full-Duplex Models to Think as Fast as They Can
- MvFFN: Multi-view Floor plan Feed-forward Network for Unposed Wide-Baseline Panorama Layout Reconstruction
- EV-JEPA: Elastic V-JEPA for Any Device and Cross-Device Inference
- TraceSampler: Making Sampling Errors Predictable and Correctable for Accelerated Generative Sampling
- Natural Code Transformation Confuses Agents in Vulnerability Analysis
- DexFLEX: Contact-Aware Foundation Controller for Command-Guided Dexterity
- Deep learning from a control vantage point
- RealityBench: Simulated Environments to Evaluate a Vision Language Model's Ability to Document Human Physical Work
- Memory Without Curation: Learning Multi-Stream Latent Memory for Robot Policies
- Coarse-Graining Recursive Expert Computation: Continuation-Relative Interfaces and Failure Modes
- SceneForesee: Learning Scene Evolution for Spatiotemporal Reasoning
- Target-ESS Tempered Policy Optimization (TETPO): Smooth Variance Control via Bridge Importance Sampling
- Specification-Based Testing of Large Language Models
- KV4-RL: Unlocking Faster Asynchronous Rollouts for RLVR with INT4 KV Cache Quantization
- Jevolution: A Framework for Studying Communication and Collective Dynamics in AI Agents
- Co-adaptive Rule Routing and Constraining for Structured Knowledge Retrieval
- Diffusion-Based Auctions for Multi-Winner Banner Ads
- RES-MR: Risk-Aware Reasoning for Explainable and Safe Medication Recommendation
- Scale, Drivers, and Limits of Representational Alignment Across Large Language Models
- What Counts as the Same Task? Executable Contracts for Robustness Evaluation of Tool-Using Agents
- AphaVoice: Text-to-Speech Model for Aphasia Patient Simulation
- Rethinking Activation Functions: Reducing Bias Can Improve Learning
- Compositional Concepts Erasing: Disentangling Object-Style via Domain Manifold Unlearning
- Who to Trust in Multi-Robot Systems: Joint Robot and Object Hypothesis Trust Inference via Neural-Symbolic Cross-Validation
- GG-Nav: Goal-oriented Grounding Chain-of-Thought Elicits Reasoning in Navigation Foundation Models
- A Self-Defining Operator for Distributed Applications
- Active Neural Matter: A Finite-Window Response Framework for Physical Systems and Distributed AI Workflows
- LLM-based User-Product Relevance Evaluation for Dynamic Product Advertising
- LASER: Defeasible Certificate Search for Long-Range Protocol Dependencies
- Limitations on Autoregressive Token Generation via Sequential Sampling
- EarthAlign: Learning Language-Aligned Representations of Earth System Data
- Prospective Forcing: Learning to Look Ahead for Autoregressive Long Video Diffusion
- DexCast: Learning Real-World Dexterous Control from Human Videos
- AlignAudio: A Unified Dual-Alignment Framework for Noise-Robust Speech-Conditioned Generation
- Towards Merging-conditional Backdoor Unalignment against Large Language Models
- Lingdan-V2: Large language models for clinically grounded reasoning in traditional Chinese medicine
- Vela: User Behavior as Supervision Sparks LLM Intelligence
- Integrating AIRL-Based Reward Estimation into a Control Method Using Fuzzy Inference and Policy Gradient
- Self-improving data synthesis can scale embedding models across domains and tasks
- PTGPO: Prefix Tree Group Policy Optimization
- Last Secure Code Benchmark: Is the Code You Vibe Secure?
- Prior-Fitted and Frozen Scorers for Multimodal Contrastive Learning
- Training a Compact, Strong, and Realistic Text-to-Speech Model
- YOUDrive: Driving Style as a Composable Direction for End-to-End Autonomous Driving
- Depth-progressive 3D seismic velocity model building via 2D generative diffusion models
- Seamless Deployment of Machine Learning Inference at the Far Edge: An Empirical AWS IoT Greengrass Architecture for Industrial Predictive Maintenance
- AI-Native Product Management: A Vision
- Cross-Lingual TTS for Indian Languages: A Benchmark and Inference-Time Duration Estimation Strategies
- Getting Space Right: Agentic Rewards for Image Generation
- Probabilistic Multi-Source Data Selection via Learnable Categorical Priors: Variance Reduction and Guaranteed Derandomization
- Counterfactual Rollouts for Offline Contrastive Goal-Conditioned Reinforcement Learning
- Humans vs. Machines: A Comparison With AI Agents in Software Reverse Engineering
- Fitting Every Hint Is Not Enough: Premature Floods in Recurrent Algorithmic Reasoners
- Too Late to Prune: Generative AI, the Screen, and Team Creative Decisions
- Mixing Regularization for Average-Reward $Q$-Learning and $Q$-Planning
- Recurrent In-Context Learning for Tabular Foundation Models
- UltraBERT: Beyond the Limit of BERT Pre-Training
- Toward System One Clinical Intelligence: Parameter-Efficient Fine-Tuning and Counterfactual Explainability of Decision Foundation Models
- InCLAD: A Continual Learning Benchmark for Industrial Visual Anomaly Detection
- Select or Rewrite: Oracle-Guided Fine-Tuning for Generative ASR Post-Editing from N-Best Hypotheses
- Deep Learning-based Semantic Segmentation of Dental Radiographs: Comparative Evaluation of PSPNet, DeepLabv3, UNet, and UNet++
- GAMW: Generation-Aware Mel-Domain Watermarking for TTS Traceability
- Have You Been Convinced? A Neuro-symbolic Argumentation Reasoning Approach to Detecting Persuasiveness in ChangeMyView Discussions
- VLCQ: Post-training quantization for deep neural networks using variable length coding
- TurnCost: Turns, Not Observations: Cache-Aware Loop Engineering for Coding Agents
- scHFBiMamba: a bidirectional Mamba autoencoder for cardiac disease-state classification from single-nucleus RNA-seq data
- ShellElastic: Scalable Elastic Pretraining with Simultaneous Maximal Updates and Hyperparameter Transfer
- RIECNN: Real-Time Image Enhanced CNN for Traffic Sign Recognition
- To Defer or Not to Defer? Online Learning with LLMs and Congested Experts
- UDHRBench: Benchmarking Human Rights in Large Language Models
- Exploring Jailbreak Vulnerability Across Depth-Based Dynamic Inference in Large Language Models
- PANINI-DR: Controlled Deep Research through Generative Semantic Workspaces
- Framework for an AI-Ready ARPES Community Database
- EvolvAttack: Backdooring self Evolving VLM Agents
- Sequent-Prover: Training Agents for Formal, Checkable SMT-based Reasoning
- LeHami: Symplectic Latent Dynamics for World Models
- GeoBridge: Evolving Transferable Decoder Topologies for Geometric Vision
- North or South? Diagnosing LLMs' Understanding of North Korean Language, Society, and Knowledge
- Protein Crystallization Segmentation and Classification Using Subordinate Color Channel in Fluorescence Microscopy Images
- Co-DSL: Human-LLM Co-design of Reusable Spatial Concepts for Layout Generation
- HGA-Quant: Heterogeneity-Aware Quantization for AutoRegressive Visual Generation Models
- WisdomNet: trustable machine learning toward error-free classification
- Accuracy and Uncertainty in Machine Deception Detection (Research White Paper)
- Anchor-and-Harvest Curriculum: A Fully Unmasked Non-LLM Curriculum for Craftax
- ZOIF: Zeroth-Order Influence Function Estimation for LLM Data Selection Using Only Forward Passes
- StimFlow: Synthesizing Brain Activity from Images via Stimulus-conditioned Flow Matching
- Across Viewpoints and Time: Trajectory-Generalizable Physical Attacks on World Models and Video Understanding Models
- CodeWalk: Generating Coding Benchmarks by Walking a Problem Graph
- Gugak-VocalSet: A Multi-Genre Studio-Quality Dataset of Korean Traditional Singing with Sigimsae Annotations
- Siam-ALS: An Explainable Siamese Deep Learning Framework for Early ALS Detection Using EEG and Eye-Tracking Signals
- Adversarial Detection for Pre-trained Classifiers via Lipschitz-Margin Analysis with Certification
- A Sovereign, Indic-First, Reasoning Model
- In-Place Indic Tokenizer Expansion and Continual Pretraining of Nemotron-3-Nano-30B-A3B
- E8 Lattice Key Quantization for Low-Bit KV-Cache Compression
- Sensitivity or Criterion? Measuring and Moving When Language Models Act
- Pessimistic Latent Task-aware Optimization for Robust Offline Meta-Reinforcement Learning
- World Modeling through Spectral Alignment
- BridgeCodec: Mamba Enhanced Neural Audio Codec with Schr\"odinger Bridge at Low Bitrate
- When Messages Go Wrong: Understanding Communication Faults in LLM-Based Multi-Agent Systems
- Security in LLM-Assisted Coding: A Systematic Literature Review
- The Imperishable Record, Forgiveness, and the Future of Criminal Justice
- CacheLink: Functional KV Transport for Zero-Prefill Cross-Model Context Handoff
- REPRO: Reflective Evolutionary Prompt Optimizer for Automated LLM Red-Teaming
- SARATHI: Decoupled Data-Free Probing and Adaptive Reconstruction for Structured LLM Pruning
- OceanFlow: Coherent Flow Matching for Probabilistic Ocean Modeling
- Improving the Bounds on Approximating Weighted Maximin Share for Chores
- ELECT: Settling Identity Before Rendering for Scalable Story Visualization
- Dynamic Conflict Clustering with Lightweight Learning and Strategic Repair for Distributed Constraint Satisfaction
- Rethinking Human Intent-to-CAD: Parametric CAD Model Generation via Cooperative Multi-Task Alignment and Spatial-Aware Reinforcement Learning
- TabMosaic: Unified In-Context Diffusion for Tabular Generative Tasks
- RespFocus: Learning Temporal Evidence for Weakly Supervised Respiratory Sound Classification
- bharatSetu: a 1M x 22 bridge for indic translation
- What DNA Foundation Models Learn Beyond Sequence Composition
- Uncovering the Generative Landscape of Diffusion Models: A Spectral-Guided Quality-Diversity Diffusion Framework
- SkillMarker: A KGW-Based Watermarking Method for Agent Skill Ownership Verification
- Hyperbolic Time Series Forecasting with Learnable Decomposition and Manifold Dynamics
- A Decade in a Day: Synthesizing Agent-Native Interfaces from Human-Oriented Software Evolution
- SurgiCLAW: An Interpretable Atomic-Skill Agent for Precision Robotic Micromanipulation
- An Explainable System for Offensive Content Detection in Nastaliq Urdu: Corpus Curation, Transformer Benchmarking, and Word-Level Attribution
- Adaptive Look, Flexible Thought: Learning How and How Long to Think in Multimodal Reasoning
- LLM Value Functions for Credit Assignment in Agentic RL
- Personalized LLM Recommendation with Semantic IDs: Autoregressive Beam Search vs. Multi-Token Prediction
- What the Model Cannot See: Covert and Provable Text Invisibility in LLMs
- Variance-Optimal State Resampling for Reinforcement Learning with Verifiable Rewards
- Learning Multimodal Sensor Fusion with JEPA Representations for Breathing Activity and Pose Recognition
- Make Every Expansion Count: Learning to Search Efficiently in LLM Code Repair
- Review Rarely Beats the Stronger Model: Separating Verification from Capability Transfer in LLM Pipelines
- Gen Through the Lens: Camera-Controllable Video Generation via Cross-Coordinate Conditioning Fusion
- RINO: Renormalization Group Distillation with No Labels
- Scalable Weak-to-Strong Verifier Hardening for Agent Environments
- DiffNash: Finding Nash Equilibrium in High-Dimensional Continuous Action Spaces with Diffusion Policies
- Hardware-Assisted Multi-Stage Ransomware Detection with Adaptive Machine Learning
- Unfair and Unsafe: Everyday Bias Triggers Emergent Misalignment
- Embedding Information in Policy Randomness: Distribution-Preserving Implicit Communication in MDPs
- AutoSec-RAN: Specification-Grounded LLM Fine-Tuning for Automated Security Analysis of O-RAN
- When Does Compensating Inherited Quantization Error Help? Mean-Square Guarantees for Layer-Wise Quantization and Their Limits
- Of Errors and Echoes: Responsibility-Aware Credit Assignment for Tool-Use Agents
- OT-FlowRec: Optimal Transport-Guided Multi-Bridge Flow for Multimodal Sequential Recommendation
- When Agents Talk, Secrets Travel: Topology-Driven Leakage and Recipient-Conditioned Sanitization in Multi-Agent LLM Systems
- Autoregressive Decoding as a Martingale: Characterizing the Stochastic Dynamics of LLM Generation
- AI Representations of Mental Health Stigma: Quantifying the Gap Between AI Estimations and Human Perceptions Across Gender Groups Using GPT-Based LLMs
- Adaptive Compression and Targeted Perturbation: A Unified Framework for Generalized Audio Deepfake Detection
- When Agent Evaluation Becomes Unreliable: An Empirical Study of Oracle Failures and Configuration-Dependent Measurement in an LLM Agent Benchmark
- Dream2Discern: Learning from Hard Latent Variants for Runtime Failure Prediction in Multi-Agent Systems
- Where Polanyi Meets Galois: Tacit Knowing as an Algebro-Deterministic Operation, Toward Re-rooting AI-Generated Science
- Towards a Benchmark for Fire Safety Code Interpretation in the Hong Kong AEC Industry
- PID-Gated Continual Prompt Adaptation Under Noisy Feedback
- Query Your Way Out: Benchmarking Multi-Turn Knowledge Reasoning through Generalized Puzzle Solving
- Omni-Modal LLMs Know More Than They Say
- Unravel: Recovering an Interactive 3D Scene from a Single Image
- WildTrace: Evaluating Training Data Detection in Realistic Large-Scale LLM Post-Training
- Fisher information and the geometry of memorization in neural networks
- EventLens: Event-Structure Reinforcement Learning for Video Understanding
- MP-MNCA: Morphology-Prior Masked Neighbor Cross-Attention for Efficient Spatial Domain Identification
- SafeDSE: Joint Exploration of Safety Architecture Patterns, Mapping, and Scheduling for Dataflow Applications With Safety Arguments (Extended Version)
- Look Back to Move Forward: Learning to Revisit for Agentic Compositional Image Generation
- AutoNovo: Agentic Program Search Discovers Transferable Nucleic Acid Design Algorithms
- Reflected Proximal Dynamics for Accelerated High-Accuracy Log-Concave Sampling
- Avoiding What Your Teacher Already Knows: Entity Familiarity for Deep-Search Distillation
- A Survey of Flow Matching in Reinforcement Learning
- SLDBench v2: Active Scaling Law Discovery
- BehaviorFormer: Discovering Behavioral Patterns via Clusterable Next-Token Prediction
- Explicitly Aligned Multi-View Breast Cancer Risk Prediction from Variable-Length Screening Histories
- BAT3R: Robust Online 3D Reconstruction with Bayesian Adaptive State Updates
- WorldRoPE: Probabilistic World-Centric Rotary Embedding for Multi-View Attention
- Rescuing Points Trapped Inside Incorrect Decision Regions: A target for Evaluating and Improving Forward-Forward Learning
- DWI Connectome-based Sex Classification in Young using Supervised Variational Autoencoder
- LoopQuant: Accurate and Efficient Post-Training Quantization for Looped Transformers
- Estimating the Causal Impact of Social Navigation Signals in Corridor Scenarios
- ARMED: Adaptive Retrieval-Augmented Medication Recommendation
- VisExMEM: Visual Evidence-Based Explainable Multimodal Evaluation Metric
- CryptoFlowBench: Benchmarking Multi-Hop Reasoning on Blockchains for Cryptocurrency Fund Tracing
- StructZO: Structured Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning
- PATMT2: Two-stage domain adaptation for multilingual patent translation
- SLEM: Spectrum-Aware Latent Expert Merging
- Growing and Transferring Pathways for LLM Reinforcement Learning
- Drafting Agents, Not Just Tokens: Speculative Recursive Self-Improvement for Agentic Systems
- From Caricature to Collective Artifact: How Persona Construction Drives Polarization in Generative Social Simulations
- pi-Net: Empirical Latent Representations for Differentiable Physics Heads in Data-Scarce Systems
- PatTransBench: an ipc-stratified, multi-dimensional benchmark for patent machine translation evaluation
- Heuristics are Not Enough: Calibrated and Corrected Caching for Video Diffusion Acceleration
- VLA-GAUGE: Systematically Evaluating Generalization and Robustness in Vision-Language-Action Models
- Towards Modality-Agnostic Seizure Classification: A Unified Deep Learning Framework for Heterogeneous EEG and Intracranial EEG Signals
- MixLID: Token-Level Language Identification in Mixed-Language Text
- Answer It or Not? Towards Prompt-Adapted Adversarial Images on Vision Language Models
- Integrating Feature Understandability into Feature Selection for Human-Centred Tabular Explanations
- AeroChem: Closed-loop Physics-Informed State Space Modeling for Long-term Chemically-Reactive Air Quality Forecasting--Extended Version
- REEL: Learning to Retrieve, Evaluate, and Evolve Visual Memory for Any Long-Horizon Multi-Shot Video Generation
- SuPER-Mamba: Surprisal Prioritization for Extended-Context Routing in Mamba
- Learning Incompressible 3D Flows from Sparse Samples: A Set Transformer Approach to Divergence-Free Kernel Fitting
- Feature-Context Consistency: Unsupervised Adversarial Detection with Drift Stability on Attributed Graphs
- Audit Before You Distill: A Controlled Workflow for Reasoning Transfer into Compact Medical Language Models
- VAttnPO: Visual Attention-Guided Policy Optimization
- Before Attention Sinks Form: Hidden-State Geometry Reveals and Modulates Their Formation
- Relational Learning as World Modeling
- PrivacyGuard: Source-Linked Sanitization and Locally Resolvable PII References for Cloud GUI Agents
- InfoVis: Unified Slide Image Generation and Editing
- Logit Leakage through Floating-Point Bias Addition
- StableJudge: A Lightweight Adversarial Defense Framework for LLM-as-a-Judge
- Growing to See: Efficient Pretraining of Self-Supervised Vision Transformers
- DTA-GT: Direction- and Topology-Aware Graph Transformer for Neural Network Representation Learning
- Unsupervised Data Drift Monitoring for Deployed Deepfake Speech Detectors
- A Scaled-Up Empirical Study of Syntactic Language Models
- Few-for-Many Best-Arm Identification in Multi-Objective Bandits
- Towards Cost-Efficient Video Dataset Construction with Large Language Models
- Davinci-Tool: Scaling Agentic Tool-Use Supervision with Verifiable Executable Environments
- Comparing GenAI to Machine Learning and Manual Review for eDiscovery
- KNN Implementation Details Can Dramatically Change Performance: An Example from Cover Trees
- UA-Bench: Benchmarking Large Audio-Language Models on Underwater Acoustic Recognition
- Social Priors: Descriptions of AI Users Shape How Language Models Trust and Cooperate
- SarcasTraps: Effect of Sarcasm on Turkish Hate Speech Detection
- Proactive Physical AI through Continuous Observation and Timely Intervention
- The Value of Being Wrong: Self-Mined Visual In-Context Learning from Errors
- WeGR: Unified Generative Retrieval for Industrial Search Systems in WeChat
- From Suboptimal to Optimal: One-Step Latent Flow Policies for Offline Reinforcement Learning
- AUGUstus: Autonomous Driving VLA Model with Unified Generation and Understanding
- TabGift: A Context-Efficient Foundation Model for Tabular Data Generation
- Governing Copyright Responsibly in the Era of Generative AI
- MAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation
- ProbabilityBench: Model Evaluation and Calibration with Exact Ground-Truth Uncertainty
- CWE-bench: Refocusing Agentic Security from Exploitation to Defense
- SPLICE: Sparse Physics Library Identification and Compositional Expansion
- Gradient Routing Localizes and Removes Unintended Behaviors in RL
- Superintelligence and the Triple Risk of an AI Race
- Interactive Navigation Beyond Reachability: Benchmark and Agentic Framework
- What the Machine Invented: Mining New Mathematical Instruments from OpenAI's October 2026 Release of AI-Generated Mathematics
- AIPOCH Open-Science: An Open-Source AI Research Workbench with Reproducible .science Packages
- Calibrated Typed Decisions for Entity, Relation, and Event Extraction
- D-World: An Explicit World-Language-Action Model with Recursive Self-Improvement under Dual Control
- D2: High-Capability Full-Duplex Spoken Language Models from Half-Duplex Backbones
- Who is the 'I' in AI? Establishing Decentralized Identity and Accountability for Autonomous Agents
- SonicWorld: Source-Centric Latent Dynamics for Spatial Audio Reasoning
- Force-Modulated Dexterity: Unified Compliance for Contact-Rich Manipulation
- Generative Flow on Symbolic Abstractions for Embodiment Capability Discovery
- FreeSolo: Linear-time Sparse Attention with Zero-Shot Length Extrapolation
- Deleting Code Without Losing Knowledge: Regenerative Software for Python Libraries
- Compute-optimal data scaling for neural surrogates via multi-fidelity training
- From Conceptual EneMonIE to an Executable Backend: A Modular Architecture for Energy Information Extractionand Grounded Question Answering
- Measuring Learned Equivariance: An Information Theoretic Approach
- Phase-Conditioned Affordance Fields for SE(3)-Equivariant Visuomotor Policies
- StartLux-Decision: AutoThink Decision Models with Reinforcement Learning for Calibrated Deliberative Decisions
- Joint Embedding with Dynamic Integration network (JEDI-net)
- Thinking Outside the Bots: Human Ideas in AI's Semantic Blind Spots Are Not Inferior
- On the Statistical Mechanics of Attention
- MID: Mask-Image Distributional Divergence for Evaluating Medical Image Segmentation
- claimcheck: Measuring and Improving Specification Faithfulness
- HASTE: Hierarchical and Attribute-aware Supervision for Generative Recommendation
- Mitigating Black-Box Score-Based Query Attacks via Gradient Confusion
- Cross-Market Meta-Learning for Electricity Price Forecasting
- Learning to Detect Shifts in Unstructured Data Streams via Monitoring-by-Betting
- Event-Centric Earthquake Monitoring with a Multi-Station Transformer
- Cross-View Time-Frequency Diffusion for Extreme-Aware Time-Series Generation
- Bottlenecked semantic compression by representation reconstruction
- Why Agentic Workflows Fail: A Taxonomy Derived from Literature and Empirical Data
- ClearNav: Perception-Aligned Quadrotor Flight Using Differential-Physics
- On Making $\mathrm{SE}(2)$-Invariant Networks Optimal
- Reinforcement Learning In Partially Verifiable Environments for Colon Cancer Treatment Planning
- World-T3: Test-Time Training as Persistent Memory for Real-Time Video World Models
- Know-Thy-Not: Training-Free Targeted Negation in Dual-Encoder Vision-Language Models
- The belief-action gap in language model agents
- Compositional RL: Evaluating and Training LLMs for Collaborative Reasoning
- Assessing the Performance of AI Models in Misinformation Detection Using Predefined Social Noise Constructs
- VeriPIE: Checkable Query Plans and Evidence-Guided Selection for Text-to-SQL
- Foundation Models for Event Prediction Across Heterogeneous Event Logs
- YUBI-Real2Sim: 3DGS Scene Verification for Reliable Policy Evaluation
- Enhanced Detective: A Dual-Stage Proactive Defense Against Internal Poisoning Attacks in Financial Fraud Detection Using Federated Learning
- Box-WAM: Box Trajectories as Compact State Representations for World Action Models
- Towards Green AI: Evaluating Energy Efficiency for Quantized LLM Inference
- Convex-Analytic View of Query Selection for Safety Verification of Markov Decision Processes
- Many Steps into One: Reasoning Contraction and the Limits of Safe Memory Reuse for LLM Agents
- FlashVSR+: Efficient Video Super-Resolution via Hybrid Attention and Reward-Yield Distribution Matching
- Benchmarking Self-Supervised 3D Medical Vision Foundation Models and Transferability Estimation
- Dissociating Answerability from Extraction in LLM Question Answering over Radiology Reports
- Chasing Label Shifters: A Change-Aware Framework for Dynamic Graph Node Classification
- Taming Softmax at the Limits of Muon: A Unified Approach through Hilbert Geometry
- Revisiting the 16x Pretraining Compute Gap between Diffusion and Autoregressive Language Models
- Tanawpamana: Benchmarking Vision-Language Models on Philippine Cultural Heritage Sites
- Morphology-aware deep learning predicts colorectal cancer survival from whole-slide images
- RELAY: Selective Self-Distillation with Adaptive Hand-off for Rubric-Based Reinforcement Learning
- 4LC: 4D Latent Cache for Efficient Conditioning in Dynamic World Modeling
- The Tokens Strike Back: Safety-Aware Denoising with Directional Embedding-based Revision
- DeltaTTG: Training Multi-Turn Agents with a Token-to-Go Progress Meter
- PrT-Flow: Probability-Tractable Flow Matching for Reinforcement Learning
- Dynamic K-Head: Difficulty-Supervised Budget Selection for Continuous Latent Reasoning
- LatentRiskBench: Measuring State-Dependent Risks in Enterprise Agents
- HelpMeOut: A Neuropsychology-Grounded Benchmark for Error-Aware Monitoring of Household Task Execution
- zPocket: Better Pocket Finding with Frozen Co-Folding Features
- LeanPRM: Lean-Grounded Process Supervision for Natural Language Proof Verification
- From Token Correction to Claim Admission: Training-Free Hallucination Mitigation for Large Vision-Language Models
- Where Small Mistakes Matter: Quantifying State Criticality for Imitation Learning
- TSRL: Trigger-based Supervised Reinforcement Learning for Continual Agent Training
- SkillScreen: High-Recall Screening of Malicious Agent Skills with Decision Models
- CoCA: Criterion-Aware Credit Assignment for Rubric-Based Reinforcement Learning
- Explore with Memory, Learn without It: In-Context Exploration and Self-Distillation for LLM Reasoning
- Train for Many, Update with One: Improving Multi-Sample Reasoning via Fenchel-Bregman Posterior Learning
- HiSTOR: Structured Treatment-outcome Representation Learning for High-Dimensional Longitudinal Data
- Auditing Failure Attribution: Label Predictability and Judge Behavior
- I3L: Iterative Interactive Imitation Learning for Whole-Body Mobile Manipulation
- Degrees of Freedom in Multi-Agent Coordination: Between Centralized and Decentralized Regimes
- Gaussian Process Bandits for AI System Optimization with Selectively Verified Feedback
- Efficiently Learning To Reason or Not to Reason: Root-token Policy Optimization for Adaptive Thinking
- Posterior-Averaged Bellman Flow Matching for Distributional Critics
- GIFT-Eval-CTX: A Benchmark For Contextual Forecasting Model Evaluation
- Learning from fracture: Teaching language models to design through physical experience
- Same Attack, Different Judge: A First Controlled Adversarial Comparison of Jev, LLM Judges, and Purpose-Built Safety Classifiers
- Checking the Checkers: A Synthesis of Verifier Noise and Robustness in RLVR
- QK-Edit: Revisiting Attention-based Injection in MM-DiT for Image and Video Editing
- Diff Diffusion: Predicting Edit Paths with Diffusion Models for Efficient Code Editing
- Agentic-MatriBO: Capability-Compiled Agentic Bayesian Optimization for Materials and Chemical Design
- A Tutorial on Quantum Amplitude Embedding with Data Re-Uploading
- ProtoArena: Can AI Agents Discover and Exploit Real-World Cross-Component Protocol Vulnerabilities?
- FASHION-RQ: Mining Hierarchical Semantic Structure for Automated Evaluation of Fashion Retrieval
- MMTA: Benchmarking Multimodal Temporal Analysis with Time Series, Text, and Vision
- TStruct: Learning Shared Temporal Structures for Long-Term Time-Series Forecasting
- RT-J: Large-Scale Pretraining of Relational Transformers for Context-Efficient Predictions
- Cross-Lingual Transfer of Evil Vectors Is Directionally Asymmetric
- Interaction-as-a-Judge
- Evaluating the Causal Faithfulness of SHAP as a Candidate Attribution Method for SAE Features
- Visual Dependence Does Not Imply Answerability: A Systematic Analysis of Answerability Signals in Frozen InstructBLIP
- DriveWLA: Unifying Future Dynamics and Scene Semantics through World-Language-Action Modeling for Autonomous Driving
- SpecCloak: Probing Harmful Code Generation through Engineering Specifications
- LinMorph: Learning to Morph Weights for Efficient Video DiT Linearization
- CineMem: Attention-Aligned Fine-grained Memory Retrieval for Multi-Shot Long Video Generation
- GLST: Global-Local Spatio-Temporal Memory Decomposition Framework for Online Chained-Goal Navigation
- MERIT: Multimodal Evidence Reasoning over Image Tables
- AI-Enhanced Hyperspectral Imaging for Intraoperative Detection of Low-Grade Glioma: A Clinical Study
- HaloBlock: Faster and Better Decoding for Diffusion Large Language Models
- FETALFusion: Resolution-Aware State-Space Modeling for Multi-Domain Fetal Head Segmentation
- Virtual Head Attention
- Better Capturing Interactions Between Products in~Retail: Revisited Negative Sampling for~Basket Choice Modeling
- BELT : BEhavior-Aligned Low-Rank KV Cache Compression with Learned Top-k Rank Allocation
- Seeing Through the Forgery Is Not Enough: Regressive Sycophancy under Fabricated Evidence in Medical Vision-Language Models
- Saliency-Guided Replay for Continual Learning in Deep Spiking Neural Networks
- Match the Canvas, Not Just the Answer: Predictability-Aware SFT for Diffusion Language Models
- SWEPatchTest: Evaluating Software Tests Beyond Reproduction
- Cost-Efficient Privacy Enforcement for Email-Generating LLM Agents under Strategic Information Requests
- Correcting or Continuing? What On-Policy Distillation Learns from Student Errors
- LatentRemedy: Efficient Remedy For Non-Prefix KV Cache Reuse in Multi-Agent Systems
- ChampionKV: Head-Wise Adaptive Budget Allocation for KV Cache Compression
- Can Machine Learning Potentials Be More Accurate Than the Methods They Are Trained On?
- Scaling Vision Transformers Without Training: Prune-and-Merge Token Compression
- High-fidelity Three-Dimensional Flow Field Reconstruction Driven by Turbulent Fluid Dynamics
- inLoRA-MINT: Internal Representations for Auditing Training Data in Domain-adapted LLMs
- From Policy Evaluation to Off-Policy Control: Provable Emergence of In-Context Q-Learning
- Uncertainty Evaluation: Bridging Machine Learning and Measurement Science
- APT: Feedback-Driven Agentic Post-Training for Text-to-Image Generation
- A CaLLM Judge is a Better Judge: Mitigating Bias in LLM-as-a-judge
- When Missingness Follows the Graph: Beyond Feature Propagation for Missing Features
- Certifying Almost-Sure Reachability in Unknown MDPs
- H-DDCM: Hadamard Codebooks for Fast Generative Image and Video Compression
- When Do Learned Blocks Preserve Causal Meaning? Block Identifiability and Constructive Causal Abstractions
- Fan Out or Relay? Ownership-Aware Routing for LLM Agents Querying Siloed Tables
- Claim Framing as a Driver of LLM Sycophancy
- LoOPSD: On-Policy Self-Distillation with Looped Teachers
- Lifting Finite-Sample Gaussian Approximation of Wide Neural Networks to Functional Convergence
- Looped Reasoning Finishes Earlier Than You Think
- A Few More Tokens Ahead: Reinforcing Parallelism in Diffusion LLMs
- How Reliable Are Large Language Models for Soil Organic Carbon Assessment? An Australian Benchmark
- Reset Early, Reset Often, Eliminate Models
- TextualRL: Textual Reinforcement Learning for Context Management
- A Controlled Evaluation of Curvature Inspired Scalar Feature Scaling for Domain Generalization
- Holding Agents Accountable with Verifiable Agent Insurance
- Heading Hierarchy Reconstruction for Complex and Long Documents with Level-Wise Multimodal Memory
- LiFUSE: Frequency-Spatial Unified Self-Supervised Pretraining for Liver Disease Analysis on Non-contrast CT
- FALLNEST: Dual-Domain Dataset Condensation of Imbalanced IMU Data for Wearable Fall Detection
- Encrypted Skills Can Become New Security Exploits If AI Agents Know How to Decipher
- JevGPT: Thinking Fast and Slow in Autonomous Research
- Which Optimizer Leaks Most? Optimizer Implicit Bias as a Training-Data Privacy Controller
- AffectWorld: Benchmarking Emotion-Driven Future World Prediction
- SimInter: Evidence-Grounded User Simulation with Interview-Based Profile Enrichment for Conversational Recommender Systems
- ShoeFit: A New Dataset and Dual-image-stream DiT Framework for Virtual Footwear Try-On
- Lightweight but Linguistically Fair? Quantisation Robustness across Bavarian, German, and English
- Let the Mind Conceive, Let the Hand Achieve: Following Multimodal Instructions for Long-Horizon Robotic Manipulation
- Urbex: Agentic Spatial Grounding for City-Scale 3D Scenes
- PRISM: Calibrating Black-Box Judges with Counterfactual Probes
- Graph-free Retrieval with Graph-Modified Embeddings
- Not All Drift Is a Mechanism: Tracing Prompt Adaptation in LLMs
- Do Factuality Methods Make LLMs More Factual? Reproducibility and Fair Comparison
- Resource-Efficient 3D Shape and Orientation Estimation of Road Users using Roadside RGB Camera and 3D Radar
- Agaram 2.5B: The First Tamil-First Language Model Trained from Scratch with Tool Calling. A Playbook for Under-Represented Languages
- FedGraph: Defending Federated Large Language Model Fine-Tuning Against Backdoor Attacks via Graph-Based Aggregation
- How Well Do LLMs Perform in Peer Review? Evidence from Finance and Accounting
- STAMP as a topology-aware molecular language for fragment-level learning and editing
- Learning Perturbation-Specific Representations through Conditional Energy Prior for Cellular Response Prediction
- Readout Scaling Shapes Sparse Feature Recovery
- MemoryVLN: From Ego-Aware Memory Representation to Cross-Context Memory Reuse in Vision-Language Navigation
- Task-evoked eye movements as candidate digital biomarkers of depression severity in adolescents and young adults
- Aligning Faithfulness for Theory-Scale Autoformalization
- EgoOmniWorld: Unifying Egocentric Understanding via Ego-Action-World Interactions
- A Global View of How LLMs Value Human Time
- The Geometry of Language Model Logits: Generic Structure and Learned Departures
- APTree: Extended Behavior Trees for Adaptive and Scalable Automated Robotic Task Planning in Construction
- On Symmetry for Characterizing Agent Heterogeneity in Multi-Agent Systems
- The Many Morals of AI: The cautionary bias of North American news narratives in global perspective
- When More Objectives Make Identification Easier: The Role of Preferences and Feedback
- GeoMER: A Joint Euclidean-Hyperbolic Geometry Framework for Multimodal Emotion Recognition
- ACCRUE: Continual Off-Policy Reinforcement Learning for Robot Foundation Models
- PhysicsSliders: Learning Physical Controls for Audio Foley Generation
- Rethinking Projector Training in Multimodal LLMs
- LLM2R: From Large Language Models to 3D Reassemblers
- DPOison-VL: Clean Preference Poisoning in Vision-Language Direct Preference Optimization
- Jev-ToM: Evaluating Theory of Mind in Typed Decision Models
- Nudge the Judge: Uncovering Program Decision Hijacking in Real-World Jev Applications
- Does self-distillation improve reasoning?
- Knowledge Graphs as Files: An Agent Harness Where Tool Creation and Tool Use Co-Evolve
- Falsification-proof non-market allocation mechanisms
- Geometric Calibration of Supervised Fine-Tuning
- DTScribe: Generating Models for Digital Twin Reporting using Local Large Language Models
- ST-GRU PredRNN-V2: A GRU-Based Reformulation of PredRNN-V2 for Video Prediction
- Tiny Recursive Message Passing
- AMemOps: Evaluating Memory Updates in Long Audio Streams
- Kwai Summary Attention V2 Technical Report
- Known-Voice Cloning and the Limits of Personality Transfer for Character Design
- SMI: Ontology-Grounded Semantic IDs for Hierarchy-Aware Medical Concept Representation
- From Relation-Specific Heads to Shared Interventions: Contextual Entrainment in Language Models
- Model-Based Online Decision Making via Generative Trajectory Planning
- ProAS: A Progress-Aware Advantage Shaping Framework for Multi-Turn Agentic Reinforcement Learning
- RadarGSOcc: Doppler-Aware 3D Semantic Occupancy Prediction Using 4D Radar Tensor with Geometric-Semantic Feature Extraction
- Just Respect the Semantics: Image-Token Compression via Pre-LLM Semantic Variable-Resolution Tokenization and In-LLM Relevance Pruning
- GeoReader: Learning Latent Geometry for Spatial Reasoning in Vision-Language Models
- UniW(A)M: A Unified Mixture-of-Experts Framework for World and World-Action Models
- Steertuning Policies from a Few Human Videos
- A Rate Transfer Method: Convergence Rates in Stochastic Gradient Descent via Stochastic Calculus
- SolBehave: Evaluating the Behavioural Correctness of LLM-Generated Smart Contracts
- PreciseCoder: Faithful and Generalizable Debugging Beyond Unit-Test Rewards
- Where Do LLM Ensemble Gains Come From? Decomposing Candidate Value, Diversity, and Aggregation
- Bytes to Threats: Byte-Sequence Transformer For Malware Detection
- SEAR: Self-Evolving Agentic Robotics
- Optimizing Team Behavior via Extremum-seeking Control in Multi-agent Reinforcement Learning
- Back-Translation Still Matters: Leveraging Monolingual Data for Low-Resource Machine Translation with LLMs
- RoboSimStudio: An Interactive Toolkit for Rapid Real2Sim of Robot Manipulation Tasks
- Fast Rates for Offline Q-Learning with KL Regularization
- LIBERO-RIG: A Hardware-Setup Robustness Benchmark for Vision-Language-Action Models
- Two Clocks: Why Larger Rollout Batches Learn Slower but Fail on Schedule in Reinforcement Learning with Verifiable Rewards
- Hybrid Reasoning Agents
- DoubtLess: Training-Free Contrastive Decoding for Efficient Reasoning
- Tev: Scaling Long-Horizon Agentic Environments with Dense Progress Rewards
- What Matters in Quality-Aware VLA Pretraining: A Benchmark and Empirical Study
- ChunkAct: Action Chunking for Agentic Robotics
- Decidable Reasoning About Time in Finite-Domain Situation Calculus Theories
- Identification of Entailment and Contradiction Relations for Natural Language Argumentation: A Neurosymbolic Approach
- Overcoming a Learning Bottleneck in Impartial Games: A Circuit Complexity Approach
- Robustness and Cybersecurity in the EU Artificial Intelligence Act
- Physics: Benchmarking Foundation Models on University-Level Physics Problem Solving
- LLM-BabyBench: Can Language Models Plan in Worlds They Can Simulate?
- Agent-Environment Alignment via Automated Interface Generation
- Decomposability-Guided Cooperative Coevolution for Large-Scale Itinerary Planning
- Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models
- AgentFly: Scaling Agentic Reinforcement Learning with Unified Resource System
- Toward a Universal Characterization of Sudoku Puzzle Difficulty
- OPTIC-ER: A Reinforcement Learning Framework for Real-Time Emergency Response and Equitable Resource Allocation in Underserved African Communities
- Are LLM Agents Behaviorally Coherent? A Latent Profiling Approach for Social Simulation
- LIFT: Likelihood-Based Intervention Faithfulness Training
- Compositional Machine Design as Program Synthesis with LLMs
- Toward Agents That Reason About Their Computation
- e1: Learning Adaptive Control of Reasoning Effort
- Multi-agent Undercover Gaming: Hallucination Removal via Counterfactual Test for Multimodal Reasoning
- Alignment Faking - the Train -> Deploy Asymmetry: Through a Game-Theoretic Lens with Bayesian-Stackelberg Equilibria
- AlignMerge - Alignment-Preserving Large Language Model Merging via Fisher-Guided Geometric Constraints
- ROI-Reasoning: Rational Optimization for Inference via Pre-Computation Meta-Cognition
- GDEPO: Group Dual-dynamic and Equal-right Advantage Policy Optimization for Sample-Efficient Reinforcement Learning
- Stochastic CHAOS: Why Deterministic Inference Kills, and Distributional Variability Is the Heartbeat of Artifical Cognition
- ReCreate: Reasoning and Creating Domain Agents Driven by Experience
- Risky-Bench: Evaluating Agentic Safety Risks in Real-World Life-Assist Deployments
- Simple Baselines are Competitive with Code Evolution
- The Token Games: Evaluating Language Model Reasoning with Puzzle Duels
- Strategy Executability in Mathematical Reasoning: Leveraging Human-Model Differences for Effective Guidance
- Causal Identification from Counterfactual Data: Completeness and Bounding Results
- Don't Ask: Understanding What Numeric Self-Reports Measure in Language Models
- Beyond Preset Identities: Selective Stance Accommodation and Interaction Reorganisation in Generative Agent Societies
- ScoringBench: A Benchmark for Evaluating Tabular Foundation Models with Proper Scoring Rules
- Logarithmic Scores, Power-Law Discoveries: Disentangling Measurement from Coverage in Agent-Based Evaluation
- Detecting Multi-Agent Collusion Through Multi-Agent Interpretability
- Mitigating Distribution Sharpening in Math RLVR via Distribution-Aligned Hint Synthesis and Backward Hint Annealing
- Agentic Architect: An Agentic AI Framework for Architecture Design Exploration and Optimization
- OracleProto: A Reproducible Framework for Benchmarking LLM Forecasting via Knowledge Cutoffs and Temporal Masking
- VibeServe: Can AI Agents Build Bespoke LLM Serving Systems?
- Tools as Continuous Flow for Evolving Agentic Reasoning
- MemQ: Integrating Q-Learning into Self-Evolving Memory Agents over Provenance DAGs
- RewardHarness: Self-Evolving Agentic Post-Training
- Data-driven Circuit Discovery for Interpretability of Language Models
- Verifiable Process Rewards for Agentic Reasoning
- Argumentation-Based Person-Tailored Storytelling for Older Adults: A Reflective Hybrid AI Architecture
- Energy per Successful Goal: Goal-Level Energy Accounting for Agentic AI Systems
- TADDLE: A Tool-Augmented Agent for Detecting Deficient LLM-Generated Peer Reviews
- ConMoE: MoE Compression as Expert Selection and Functional Assignment
- Conformal Certification of Reasoning Trace Prefixes
- CoMIC: Collaborative Memory and Insights Circulation for Long-Horizon LLM Agents in Web Cloud-Edge Systems
- Revisiting Ripple Effects in Knowledge Editing through Pressure-Aware Joint Neighborhood Optimization
- Planning Takes More Than Token Prediction: Causal Plan for Benchmarking and Building Physically Grounded Embodied Reasoners
- Trajectory-Refined Distillation
- LATTEArena: An Evaluation Framework for LLM-powered Tabular Feature Engineering (Extended Version)
- Business World Model
- OSGuard: A Benchmark for Safety in Computer-Use Agents
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
- From Brewing to Resolution: Tracing the Internal Lifecycle of Code Reasoning in LLMs
- PseudoBench: Measuring How Agentic Auto-Research Fuels Pseudoscience
- Decoupling Search from Reasoning: A Vendor-Agnostic Grounding Architecture for LLM Agents
- Reward as An Agent for Embodied World Models
- When Agents Commit Too Soon: Diagnosing Premature Commitment in LLM Agents
- Plans Fade Fast: Why Context Management Is Load-Bearing for LLM Agents
- Litmus: Zero-Label, Code-Driven Metric Specification for Evaluating AI Systems
- Beyond Trajectory Imitation: Strategy-Guided Policy Optimization for LLM Reasoning
- Understanding Rollout Error in Graph World Models
- MedEvoEval: Evaluating Continual Evolution of Doctor Agents through Simulated Clinical Episodes
- What a Pooled Leaderboard Does Not Say: Auditing the Scope and Provenance of Method Comparisons in Microservice RCA Benchmarks
- Process Advantage Signal Shaping: Advantage Construction for Process-Supervised Reinforcement Learning in LLM Reasoners
- When LLMs Develop Languages: Symbolic Communication for Efficient Multi-Agent Reasoning
- Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading
- Agents Don't Just Agree, They Remember: Benchmarking Persistent Sycophancy in Self-Improving Personal Agents
- What We Talk About When We Talk About LLM Planning: Evidence for Two Distinct Planning Abilities
- Tracing Agentic Failure from the Flow of Success
- PRO-LONG: Programmatic Memory Enables Long-Horizon Reasoning
- Agent-UCT: Upper Confidence Bounds Applied to Trees for Cost-Aware Agentic Workflow Optimization
- Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe
- SKILL-KD: Contrastive Skill Distillation for LLM Agents
- MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck
- LEMUR: Learning to Align with Multi-Objective Reinforcement Learning from Preference Feedback
- Toward Fine-Grained Forgetting:Attribute Unlearning for Multimodal Large Language Models
- LaCache: Robust Semantic Caching for LLM Serving
- CockpitHAT: Dependency-Graph-Driven Hierarchical Attribution for Embodied Multi-Agent Cockpits
- SearchMaster: Grounded and Regulated Self-Play for Search Agents
- Surrogate Substitution Preserves PHI Detectability: A Multi-Detector Equivalence Study
- Large language models for partial differential equation workflows
- $\mathrm{R}{\scriptstyle\mathrm{EAL}}\mathrm{G}{\scriptstyle\mathrm{UARD}}$: Reliable, Efficient, and Auditable LLM Safeguards via Latent Reasoning
- ContinualSkillBench: Can LLM Agents Truly Evolve Their Capabilities?
- OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling
- SkillEval: Decomposing Agent Skill Quality into Interpretable Signals
- Illusion of Alignment: Detecting Hidden Disagreement in Collaborative Dialogue
- Reading is not Reasoning: Bridging the Agentic Policy Gap in Vision-Text Compression
- Emotion2Skill: Model-Internal Emotion Signals for Adaptive Skill Selection and Evolution
- Bench2Robust: Scenario-Controlled Recovery for Tool-Using Agents
- AI Model Design and Physician Liability
- SafeBranch: Branch-Pair Safety Alignment for Embodied Agents
- ReguSim: Evaluating LLM Agent Rule Grounding in Financial Compliance
- Agentic neural architecture search for clinical prediction from electronic health records: Cross-hospital knowledge transfer and computational efficiency
- ParallelWorld: Test-Time Scaling for Agentic Embodied Reasoning
- When "Must" Becomes "Maybe": Erosion of Workflow Constraints in LLM Agent Handoffs
- Parason: Revealing Subtask and Trial Parallelism in LLM Reasoning
- PhysElite: How Far Are LLMs from Solving Olympiad-Level Physics Problems?
- LoopArena: Benchmarking Models as Runtime Controllers for Loop Engineering
- RetailAgent: Structured Adverse Timing in Self-Conditioned Multimodal LLM Trading Agents
- Composition without a Host: Carrying the Spatiotemporal-Composability Guarantee of Plugin-Based Agents across Processes
- FractalNet-Based Heterogeneous Federated Learning for Orbital Edge Intelligence in Satellite Mega-Constellations: A Wildfire Case Study
- EmoStance: Response-Side Affective-Orientation Control for Empathetic Response Generation via Emoji Weak Supervision
- STAIR (STructure Aware Information Retriever): A novel dataset and LLM based retriever for document structure augmentation
- LayerRoute: Action-Conditioned Mixture-of-Layers Routing for Vision-Language-Action Policies
- Style Over Substance: Content-Invariant Wrappers Flip LLM Safety-Judge Verdicts
- Do Agents Know When They Succeed? Calibrating Agent Confidence from Internal Representations
- GeoSkill:Experience-Driven Hierarchical Skill Learning with Collaborative Revision forGeospatialAgents
- JaxAHT: A JAX-Based Library for Ad Hoc Teamwork
- Enabling Creative Exploration for Vibe Design Agents
- Not All AI Agents Are Equal: Characterizing Resource and Performance Dynamics
- Spatial-Interactor: Learning Spatial Reasoning through Interaction with the Observable Physical World
- ScholarStack: Layered Research Asset Orchestration and Cross-Task Reuse for Scientific Agents
- Silent Failures in Agent-Tool Interaction: An Audit of ToolUniverse
- Analyzing and Mitigating Cost-Inefficient Behaviors in Coding Agents
- Prediction Limits and Koopman Closure of Geometry-Induced Soft State Abstractions
- Beyond Accuracy: Counterfactual Fragility and Demographic Bias in Clinical Evaluation of LLMs
- Right Answer, Wrong Reason: Accuracy, Consistency, and Consensus Are Misleading Indicators of LLM Faithfulness in Clinical Decision Support
- Are Benchmarks Reliable? Toward Structural Diagnosis via Item-Level Capability Boundaries
- Jev in Medicine: A Benchmark Evaluation
- Test-Time Scaling via Budgeted Multi-Attribute Verification
- Can Generative AI Automate Data Extraction for Meta-Analysis? A Case Study on Intercropping Research
- Visual sensitivity is not claim retractability: persistence-aware credit assignment for multimodal reinforcement learning
- Rep2Skill: Representation-Guided Skill Self-Evolution for LLM Agents
- Beyond the Remembered World: Predictive 4D Belief for Persistent Navigation in Evolving Worlds
- HHR: Hierarchical Hash Retrieval for Efficient LLM Generation
- Code Owns the Simulation, Jev Owns the Evaluation
- The AI Risk Observatory: What Can We Learn from AI Disclosures in Annual Reports About Societal Resilience?
- LUMOS: Tracing Parametric Knowledge from Training Data to Behavioral Outputs in LLMs
- RIFAR: Reliability and Forgetting-Aware Replay for Continual Robot Learning
- Learning a Fact Is Not Learning How to Retrieve It
- Retrieval-Augmented Large Language Model Decision-Making for Autonomous Driving Guided by Chinese Philosophical Wisdom
- ROAR: Unifying Runs across Heterogeneous AI-Driven Research Systems
- Behavioral History Outperforms Descriptions of the Person for LLM Synthetic Personas
- SkillScriptBench: Benchmarking Self-Evolution of Executable Agent Skill Packages Beyond Markdown
- Recursive Improvement of a Differentiable Scientific Software Ecosystem
- Penumbra: Sample-Efficient Adversarial Search for Regulatory Obligations
- PyINE: A Framework for Scalable Elicitation and Oversight via Code Execution
- Do More Modalities Always Help? A Geometric Perspective on Missing-Modality Robustness
- MemTrace: State-Consistent Memory for Long-Horizon Coding Agents
- DREAM: Dynamic Resolution Assignment For Multimodal Multi-agent Debate
- How Should a Prompt Optimizer Spend a Tight Budget? BudgetAPO with Noise-Adaptive Evaluation
- MS-Exam-Gen: An Automatic Benchmark Construction Toolkit for Evaluating LLMs on Multiple Sclerosis-MRI Imaging Knowledge
- Evolving in Thought Space: Training a Small Model at Test Time Unlocks Better Discoveries
- GraphDecisionBench: Benchmarking System One Models on Graph Tasks
- A Governed Agent Architecture for Natural-Language Dashboard Generation over Enterprise DataBrain
- Adaptive Gait Biofeedback With Participant-Held-Out Modeling and Participant-Specific Updating in Chronic Ankle Instability
- Where Rules End and Judges Begin: Measuring the Judgment Boundary in Multi-Agent Systems Security
- zkLLMPoT: Efficient Zero Knowledge Proof of Training for Large Language Models
- Open-MMUnlearning: Unifying Methods and Evaluation for MLLM Unlearning
- Reading the Room: Foundations, Design, and Challenges of Normative Competence in LLMs
- How Narrative Wrapping Affects LLM Refusal: A Cross-Language Benchmark and Defense
- Defensive Writing in GPT Models
- AtomWorld-Mirror: Macro-Step World Modeling of Critical Evolution Backbones for Materials Dynamics
- MemTrial: Learning When to Trust Memory in LLM Portfolio Agents
- Safe Actions Alone Do Not Ensure Safe Agents: Identifying Unfulfilled Obligations with Guard Models
- PulseBound: Future-Beat State Forecasting Under an Explicit Information Boundary
- Reward Hacking as a Transmissible Strategy in Multi-Agent Coding Systems
- VETR: Execution-Grounded Self-Improving Agent for Symbolic Graphics Reasoning
- SWE-Critix: Post-Training Generalist Verifiers for Assessing Coding-Agent Trajectories
- Rollout-Time Intervention: Unlocking Agentic Reinforcement Learning Beyond Policy Limits
- NeuSE: Neural SE(3)-Equivariant Embedding for Long-Term Object-Based Simultaneous Localization and Mapping
- LLMRec: Benchmarking Large Language Models on Recommendation Task
- Fast Diffusion-GAN Model for Generating Symbolic Music with Emotions
- Optimal Transport Aggregation for Distributed Mixture-of-Experts
- FlowWise: Stateful Fast-Slow Model Serving for Streaming Traffic Intelligence
- Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework
- Prediction Is All MoE Needs: Expert Load Distribution Goes from Fluctuating to Stabilizing
- GREAT: A Graph Edge Attention Network for the Electric Vehicle Routing Problem with Asymmetric Costs
- Polyrating: A Cost-Effective and Bias-Aware Rating System for LLM Evaluation
- Scale-specific auxiliary multi-task contrastive learning for deep liver vessel segmentation
- Is Complex Query Answering Really Complex?
- ReMAP: Lossless Residual Neural Lifting for Scalable MAP Inference in Arbitrary-Order Markov Random Fields
- Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription
- Randomly Wrong Signals: Bayesian Auction Design with ML Predictions
- Natural Language Generation from Visual Events: State-of-the-Art and Key Open Questions
- VQEL: Enabling Self-Play in Emergent Language Games via Agent-Internal Vector Quantization
- A Generalist Hanabi Agent
- Toxicity Is a Property of Communicative Events: A Contextual Stress Measurement Framework for NLP
- Horizon Scans can be accelerated using novel information retrieval and artificial intelligence tools
- SAEs Can Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs
- FPGA-Based Neural Network Accelerators for Space Applications: A Survey
- A Comprehensive Review on RNA Subcellular Localization Prediction
- Graph Neural Network-Based Reinforcement Learning for Controlling Biological Networks - the GATTACA Framework
- Towards Understanding Deep Learning Model in Image Recognition via Coverage Test
- Generative AI for Autonomous Driving: A Review
- Localizing Persona Representations in LLMs
- Benchmarks Are Not Atomic: Composition-Aware LLM Evaluation using BenchHub
- Simulating Student-Tutor Interactions with LLMs for Multilingual Math Feedback
- GUARD: Guided Unlearning and Retention via Data Attribution for Large Language Models
- From Empirical Evaluation to Context-Aware Enhancement: Repairing Regression Errors with LLMs
- Co-Creative Learning via Metropolis-Hastings Interaction between Humans and AI
- RCStat: A Statistical Framework for using Relative Contextualization in Transformers
- Curriculum-Adapted Robust Reinforcement Learning for UAV Deconfliction in Adversarial Environments
- From Individuals to Interactions: Benchmarking Gender Bias in Multimodal Large Language Models from the Lens of Social Relationship
- Physics-Informed Graph Neural Networks to Reconstruct Local Fields Considering Finite Strain Hyperelasticity
- Unequal Voices: How LLMs Construct Constrained Queer Narratives
- Web3 x AI Agents: Landscape, Integrations, and Foundational Challenges
- There are Levels to It: Red Teaming Dialogue With Hierarchical Reinforcement Learning
- RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory
- One Size Does Not Fit All: Distribution-Guided Tensor-Wise Adaptive Sparsification for Model Merging
- SciRerankBench: Benchmarking Rerankers Towards Scientific Retrieval-Augmented Generation with LLMs
- PPGFlowECG: Latent Rectified Flow with Cross-Modal Encoding for PPG-Guided ECG Generation and Cardiovascular Disease Detection
- TENET: One Step Toward Test-Driven Development for Repository-Level Code Generation
- Cognifying Education: Mapping AI's transformative role in emotional, creative, and collaborative learning
- Frequency-Aware Model Parameter Explorer: A new attribution method for improving explainability
- Rethinking Langevin Thompson Sampling from A Stochastic Approximation Perspective
- Auditing a KB Elicitation of Frontier LLM Knowledge: A Multi-dimensional Analysis of GPTKB v1.5
- Batch Bayesian Active Learning with Partial Batch Label Sampling
- A Function-Centric Perspective on Flat and Sharp Minima
- SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses
- Iterative Critique-Refine Framework for Enhancing LLM Personalization
- Training LLMs Beyond Next Token Prediction - Filling the Mutual Information Gap
- Energy-Efficient Deep Learning Without Backpropagation: A Rigorous Hardware-Validated Benchmarking Study of Forward-Only Algorithms
- ProDER: A Continual Learning Approach for Fault Classification and Localization in Evolving Smart Grids
- Exploring the Underwater World Segmentation without Extra Training
- Naga: Vedic Encoding for Deep State Space Models
- UnSAMv2: Self-Supervised Learning Enables Segment Anything at Any Granularity
- Neural Evidence and Behavioural Welfare Economics: When Can Neuroeconomics Inform Policy?
- Explainable Visual Anomaly Detection via Concept Bottleneck Models
- Semantics as a Shield: Label Disguise Defense (LDD) against Prompt Injection in LLM Sentiment Classification
- Measuring all the noises of LLM Evals
- PhyAVBench: A Challenging Audio Physics-Sensitivity Benchmark for Physically Grounded Text-to-Audio-Video Generation
- Mechanistic Knobs in LLMs: Retrieving and Steering High-Order Semantic Features via Sparse Autoencoders
- HERO: Hierarchical Evidential Reasoning Optimization for Radiology Report Generation via Reason-then-Summarize
- ECLIPTICA -- A Framework for Switchable LLM Alignment via CITA - Contrastive Instruction-Tuned Alignment
- GeoMotionGPT: Geometry-Aligned Motion Understanding with Large Language Models
- Hiking in the Wild: A Scalable Perceptive Parkour Framework for Humanoids
- Representational Similarity Alignment of Figurative Language in Humans and Large Language Models
- Architecture Before the Formula: Training-Dependent Computational Semantics in Transformers
- Less is More: Label-Guided Efficient Summarization of Procedural and Instructional Videos
- NeuroVLA: A Brain-inspired Embodied Intelligence for Fluid and Fast Reflexive Robotics Control
- NeuroFilter: Activation-Based Guardrails for Privacy-Conscious LLM Agents
- Where is the multimodal goal post? On the Ability of Foundation Models to Recognize Highlights in Videos
- Retell, Reward, Repeat: Reinforcement Learning for Narrative Theory-Informed Story Retelling
- Uni-RS: A Spatially Faithful Unified Understanding and Generation Model for Remote Sensing
- PixSearch: Region-Grounded Retrieval for Knowledgeable Large Multimodal Models
- The pretraining domain outweighs the training objective in setting the privacy-utility trade-off of differentially private medical image analysis
- VERGE: Formal Refinement and Guidance Engine for Verifiable LLM Reasoning
- Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening
- OpenVTON-Bench: A Large-Scale High-Resolution Benchmark for Controllable Virtual Try-On Evaluation
- From Associations to Activations: Comparing Behavioral and Hidden-State Semantic Geometry in LLMs
- DCD: Decomposition-based Causal Discovery from Autocorrelated and Non-Stationary Temporal Data
- TTT-Parkour: Rapid Test-Time Training for Perceptive Robot Parkour
- Flow Policy Gradients for Robot Control
- DRMOT: A Dataset and Framework for RGBD Referring Multi-Object Tracking
- Coupled Local and Global World Models for Efficient First Order RL
- On the Dynamics of Delayed Generalization in Linear Models
- Combining scEEG and PPG for reliable sleep staging
- Articulated 3D Scene Graphs for Open-World Mobile Manipulation
- Formal Policy Enforcement for Agentic Systems
- Prompt Interference in LLM Post-Training: Why Pass@k Optimization Can Degrade Pass@1
- An Analysis of Role Semantics in Directed Dynamic Graph Modeling for Edge Classification
- Toward Guarantees for Clinical Reasoning in Vision Language Models via Formal Verification
- Learning Shortest Paths with Generative Flow Networks
- CodecFlow: Efficient Bandwidth Extension via Conditional Flow Matching in Neural Codec Latent Space
- A Counterfactual Graph Approach to Oppositional Narrative Analysis
- Neural-Surrogate Co-Design of Aerodynamic Shape and Control
- Scheduling Parallel Optical Circuit Switches for AI Training
- HybridStitch: Pixel and Timestep Level Model Stitching for Diffusion Acceleration
- Grammar of the Wave: Towards Explainable Multivariate Time Series Event Detection via Neuro-Symbolic VLM Agents
- OxyGen: Unified KV Cache Management for VLA Inference under Multi-Task Parallelism
- AnolisVLA: Lightweight Vision-Language-Action Model with Deep State Space Models for Mobile Manipulation
- DyJR: Preserving Diversity in Reinforcement Learning with Verifiable Rewards via Dynamic Jensen-Shannon Replay
- Contrastive Metric Learning for Point Cloud Segmentation in Highly Granular Detectors
- TopoPilot: Reliable Conversational Workflow Automation for Topological Data Analysis and Visualization
- JAL-Turn: Joint Acoustic-Linguistic Modeling for Real-Time and Robust Turn-Taking Detection in Full-Duplex Spoken Dialogue Systems
- IMAGAgent: Orchestrating Multi-Turn Image Editing via Constraint-Aware Planning and Reflection
- Spec-Harness: Assessing and Guiding LLM-Synthesized Formal Specifications Beyond Verifiability
- AromaGen: Interactive Generation of Rich Olfactory Experiences with Multimodal Language Models
- Process Rewards for Outcome-Guided Reasoning Steps in LLM Reinforcement Learning
- Pickalo: Leveraging 6D Pose Estimation for Low-Cost Industrial Bin Picking
- Generating Synthetic Doctor-Patient Conversations for Long-form Audio Summarization
- CMP: Robust Whole-Body Tracking for Loco-Manipulation via Competence Manifold Projection
- A Survey of Secure Retrieval-Augmented Generation
- PR-MaGIC: Prompt Refinement Via Mask Decoder Gradient Flow For In-Context Segmentation
- Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective
- Dive into Claude Code: The Design Space of Today's and Future AI Agent Systems
- Beyond Single-Model Optimization: Preserving Plasticity in Continual Reinforcement Learning
- Negative Advantages Is a Double-Edged Sword: Calibrating advantages in GRPO for Search Agents
- TurboEvolve: Towards Fast and Robust LLM-Driven Program Evolution
- UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling
- MILP the Gap: An Automated Reasoning Approach to Condorcet's Paradox
- Call-Chain-Aware LLM-Based Test Generation for Java Projects
- PermaFrost-Attack: Stealth Pretraining Seeding(SPS) for planting Logic Landmines During LLM Training
- Cross-Stage Coherence in Hierarchical Driving VQA: A Consistency Protocol and Parameter-Efficient Gated Context Routing
- Hiding in Plain Sight: Detectability-Aware Antidistillation of Reasoning Models
- Structure Liberates: How Constrained Sensemaking Produces More Novel Research Output
- Dependency Parsing Across the Resource Spectrum: Evaluating Architectures on High and Low-Resource Languages
- Refining Compositional Diffusion for Reliable Long-Horizon Planning
- How Do Novice Describers Edit AI Drafts? The Role of Draft Quality in Audio Description Authoring
- XL-SafetyBench: A Country-Grounded Cross-Cultural Benchmark for LLM Safety and Cultural Sensitivity
- Selective Successor Eligibility Traces for RLVR
- AdaGamma: State-Dependent Discounting for Temporal Adaptation in Reinforcement Learning
- Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention
- APEX: Assumption-free Projection-based Embedding eXamination Metric for Generative Distribution Evaluation
- HIMMEL: Hierarchical Interleaved Multi-stream Motion Encoding for Long Video Understanding
- When and How to Canonize: A Generalization Perspective
- Discrete Flow Matching for Offline-to-Online Reinforcement Learning
- Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training
- Discrete MeanFlow: One-Step Generation via Conditional Transition Kernels
- Revealing the Gap in Human and VLM Scene Description through Counterfactual Semantic Saliency
- Towards Long-horizon Embodied Agents with Tool-Aligned Vision-Language-Action Models
- A Few Steps Further: Why Defenses Against Malicious Finetuning Erode Under Continued Training
- Concurrency without Model Changes: Future-based Asynchronous Function Calling for LLMs
- $\alpha$-TCAV: A Unified Framework for Testing with Concept Activation Vectors
- Conditioned in Training, Dispensable at Inference: Typological Conditioning for Multilingual Speech Translation
- LoopQ: Quantization for Looped Language Models
- The Impact of AI Search on the Online Content Ecosystem: Evidence from Google and Reddit
- Global Automation Atlas
- Learning Higher-Order Interactions from Incomplete Spatiotemporal Data with Mixtures of Hypergraph Laplacians
- $\boldsymbol{f}$-OPD: Stabilizing Long-Horizon On-Policy Distillation with Freshness-Aware Control
- Training data attribution in diffusion models via mirrored unlearning and noise-consistent skew
- Exact Symmetry as Algebra: Group-Structured Tensors that Enforce Physical Selection Rules
- Stdlib or Third-Party? Empirical Performance and Correctness of LLM-Assisted Zero-Dependency Python Libraries
- CTI2TTP: Evidence-Grounded TTP Extraction from Cyber Threat Intelligence via Diverge-then-Converge Verification
- GAC: Noise-Aware Adaptive Mixing for Hybrid SFT-RL Post-Training
- Beyond Questions: Evaluating the Stated Knowledge of LLMs
- How Do Uncertainty Estimators Align with Hallucination Occurrence in LLMs?
- When LLM Reward Design Fails: Diagnostic-Driven Refinement for Sparse Structured RL
- GEO-Bench: Benchmarking Ranking Manipulation in Generative Engine Optimization
- Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems
- idSCD: Identifying Training Datasets through Semantic Correlation Descriptors
- Hoeffding Concept Bottleneck Models with Applications to Overhead Images
- Real2SAM2Real: Generative 3D Caches as Complementary Context for Video Diffusion
- Shape Your Body: Value Gradients for Multi-Embodiment Robot Design
- How Much Can Repeated Running Buy? A Measured Variance Ceiling for LLM Code Evaluation
- The Value of Spike Timing: A Leakage-Resistant Benchmark of SNN Design Choices for Network Intrusion Detection
- Learning When to Translate for Multilingual Reasoning
- Economy of Minds: Emerging Multi-Agent Intelligence with Economic Interactions
- OpenAgenet / OAN White Paper: Open Infrastructure for Trusted Agent Interconnection
- OpenAgenet / OAN Yellow Paper: Technical Architecture for Trust-Governed Resource Identity and Discovery
- Adaptive Patching Is Harder Than It Looks For Time-Series Forecasting
- Instant-Fold: In-Context Imitation Learning for Deformable Object Manipulation
- NoRA: Evaluating Grounded Reasonableness in Visual First-person Normative Action Reasoning
- Plan, Watch, Recover: A Benchmark and Architectures for Proactive Procedural Assistance
- Improving Heart-Focused Medical Question Answering in LLMs via Variance-Aware Rubric Rewards with GRPO
- TAM: Torque Adaptation Module for Robust Motion Transfer in Manipulation
- The Geography of Algorithmic Judgment: LLM Intermediaries, Place Identity, and Racial Steering in Housing Search
- DataEvolver: Automatic Data Preparation for Large Language Models through Multi-Level Self-Evolving
- One Skill, Two Masters: Serving Users and Attackers through Skill Injection
- FiberTune: Preserving Action-Fiber Visual Residuals in Vision-Language-Action Fine-Tuning
- Beyond Locality: Feature-Boundary Auditing for OS-Integrated AI
- RAIL: Rethinking Auditory Intelligence in Large Audio-Language Models with a CHC-Grounded Benchmark
- Task-Aligned Stability Analysis of Vision-Language Models for Autonomous Driving Hazard Detection
- HiLo-Token: Input-Adaptive High-Low Frequency Token Compression for Efficient Image Editing
- ThreadBench: Benchmarking Realism in Agentic Simulation of Real-world Discussions
- LLM Judges Have Dark Current: Stratified Null and Utility Tests for LLM Judge Reliability
- Retrievable Gradients: Continual Post-Training Without Cumulative Weight Drift
- Beyond Reward Engineering: A Data Recipe for Long-Context Reinforcement Learning
- Data-Aware Model Merging in the Essential Subspace for Multi-Task Knowledge Aggregation
- Human-like autonomy emerges from self-play and a pinch of human data
- FinRED: An Expert-Guided Benchmark Generation and Evaluation Framework for Financial LLM Red-Teaming
- ScholarQuest: A Taxonomy-Guided Benchmark for Agentic Academic Paper Search in Open Literature Environments
- RARM: Confidence-Gated Progress Reward Modeling for RL in Manipulation
- On the Sparsity-Storage-Accuracy Tradeoff in Parsimoniously Activated Dictionary Learning
- Learning with a Single Rollout via Pass@k Policy Optimization
- From Clicks to Intent: Cross-Platform Session Embeddings with LLM-Distilled Taxonomy for Financial Services Recommendations
- Error-Conditioned Neural Solvers
- SPARK: Adaptive Parametric Knowledge Participation for Faithful Retrieval-Augmented Generation
- RoboGaze: Evaluating Robot World Models via Structured Vision-Language Analysis
- When AI Reviews Its Own Code: Recursive Self-Training Collapse in Code LLMs
- The Speedup Paradox: Rethinking Inference Speed-Quality Trade-off in Embodied Tasks
- Behavior Uncloning: Distilling Mode Redirection into Policy Weights without Inference-Time Steering
- Critical Interval MSE: Toward Reliable Offline Validation for Robot Manipulation Policies
- Federated Learning with Energy-Based Structured Probabilistic Inference
- Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs
- Optimal any-angle path planning in static and dynamic environments
- Ember: A Kilobyte-State Optimizer for Token Interfaces
- Beyond Cultural Persona Bias: Response Geometry as a Measure for Language Models and People
- AutoResearch: An Execution-Grounded Multi-Agent Framework for Reliable Research Workflow Automation
- TabQueryBench: A Query-Centric Benchmark for Synthetic Tabular Data
- Auto-AEG: Scalable Data Construction for Open-Vocabulary Audio Event Grounding
- HarnessMDP: Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning
- Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion
- Multi-Agent AI Control: Distributed Attacks Hamper Per-Instance Monitors
- EgoWAM: World Action Models Beyond Pixels with In-the-Wild Egocentric Human Data
- Phone Segmentation and Recognition through Phonological Activation Mapping
- Automatic Thematic Indexing of Large Literary Corpora: A Machine Learning Approach to Voltaire's Complete Works
- An LLM-powered Agentic Recommendation System for Connected TV Content Discovery
- Comparing Socially-Equitable Renewable Energy Budget Allocation MDP Policies in Mature and Emerging Economies
- Scaling Point-in-Time Language Models: Enabling Economic Evaluation of Embeddings
- Bulkhead: Automated Semantic Detection and Remediation of Container Escape Vulnerabilities
- Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents
- Never Too Late for Force: Accelerating VLA Post-Training with Reactive Force Injection
- HALLMARK: How to Diagnose LLM Citation Verifiers and When to Deploy Them
- Audit Before You Update: Recording Artifacts and the Limits of Bounded Model Updates in MIMIC-IV ICU Prediction
- Agentic Real2Sim: Physics-based World Modeling with Vision-Language Agents
- ChannelGuard: From Borrowed Safety to Application-Controlled Defenses in Multi-Agent LLMs
- REGEN: Replay-recycling for Expert-to-Generalist distillation with Offline Reinforcement Learning
- Active Inference as a Convex Markov Decision Process
- Activation Steering with Jungian Cognitive Functions
- DBA-Bench: A Production-Fidelity Benchmark for LLM-Based Database Operations Agents
- Constraint-Aware Influence Estimation in Deep Constrained Learning
- Mission-Level Runtime Assurance for LLM-Assisted ISR Swarms over a Verification-Aware Fabric
- This Is a Good Paper, Right? How Tag Questions Affect Sycophancy Across 106 Language Models
- ForgetBench: Benchmarking Forgetting Dynamics of Long-Term Parametric Memory in Language Models
- Depth, Not Breadth: Best-of-N Jailbreaking Beyond Surface Noise
- Same Illness, Different Voice: Restating the Patient's Account Narrows Narrative Anchoring in Clinical Language Models
- Specification-Guided Synthesis of Deadlock-Free Communication Protocol Refinements with Large Language Models
- Flux-OPD: On-Policy Distillation with Evolving Contexts
- COSI-Lab: Conference Living Lab for Modeling Multi-Perspective Multimodal Social Intention
- Gated Q-learning: Add Off-Policy Bias to Taste
- LLM-OSDA: An Optimal-Stopping Dynamic Auction for Native Advertising in Multi-Turn LLM Conversations
- From Chasing Ghosts to Missed Attacks: Perspectives and Perceptions of SOC Practitioners on LLM Integration, Risks, and Readiness
- AI Alignment and Fiduciary Obligation
- Patients-like-me: A Variational LM--GNN Framework for Explainable Clinical Prediction
- Need or Reputation? Region, National Income, and Academic Status in LLM Gatekeeping Decisions
- Factorized Hypothesis Search for Evidence-to-Taxonomy Retrieval
- LifelongCrossNav: Persistent 3D Semantic Memory for Cross-Floor Multi-Object Navigation
- Measuring Concept Content in Text from LLM Activations: ESG Evidence from Concept Vectors and Linear Probes
- Search-G1: Co-Evolving Representation-Based Rewards for Selective Grounded Search
- Router Sensitivity Under Lightweight Fine-Tuning Identifies Prunable Experts in Mixture-of-Experts Models
- Lost in Context Compaction: When LLM Systems Drop Side Constraints
- A, B, C, or Stable? Accuracy and Order Sensitivity Diverge in LLM Multiple-Choice Evaluation
- P2Skill: Privacy Preserving Skill Distillation for Cloud-Local LLM Inference Systems
- Plausible but Not Valid: A Psychometric Audit of LLMs as Synthetic Survey Respondents
- Listen, Reason, and Segment: Aligning LALMs with Editorial Judgment for Media Chapterization
- SIDScope: A Diagnostic Resource for Semantic-ID Interfaces in Generative Recommendation
- DualOPSD: Closing the Feedback Loop in On-Policy Self-Distillation
- Delegating Before Learning: Where Generative AI Sits in Students' Professional Communication
- Disclosure-Gated User Simulation for Companion-Agent Evaluation
- EmbodiedSkills: World Action Model-augmented Cascaded Skills for Vision-Language-Action Agent
- LatentPress: Context Compression Beyond Text and Vision
- TC-Next: Zero-Shot Multimodal Cyclone Forecasting
- From Portraits to Pathology: Probing Diagnostic Overreach in Vision-Language Models
- SeRV: Semantic-Aligned Residual Vector Quantization for American Sign Language Generation
- Open Tabular Insight Extraction: Where Do We Stand, and Where Should We Go?
- RoboCousin: Build Your Own Simulation Playground for Robust Bimanual Robotic Manipulation
- X2Streaming-ASR: wait when uncertain, emit when ready for streaming ASR
- SPINE: Measuring LLM Sycophancy under Sustained Multi-Turn Pressure
- Divide, Consult, Conquer: Capability Laundering Through Aligned LLMs
- CoReLoop: Parameter-Efficient Controlled Recurrent Refinement for Audio Deepfake Detection
- Forecasting Brain Tracer Distribution from Pre-Contrast MRI: A Comparison of Direct Regression and Flow Matching
- Same Outcome, Different Readout: What Does a Steerable Valence Direction in LLMs Represent?
- Propose, Verify, Commit: Evidence-Grounded Memory for Long-Horizon Multi-Actor Conversations
- Do Language Models Need Music Supervision? Verifiable Rewards for Multi-Constraint Symbolic Music Generation
- Misaligned Clinical Risk Classification and Cost Asymmetry in Open-Weight Large Language Models
- GameHorizon Suite: Multi-Horizon Data and Evaluation in Gameplay
- PICPIs: Prediction-Interval-Conditional Prediction Intervals
- Quantization-Robust Unlearning through the Lens of Retain-Forget Loss Landscapes Interaction
- When Context Misleads: In-context Learning with Jurisdiction in Large Language Models
- Beyond Unsafe Detection: Counterfactually Anchored Evidence Attribution for Multi-Turn LLM Safety Failures
- R-DEIM Net: An Efficient Rationale-Augmented Dual-Expert Interaction Model for Paraphrase Detection
- Verification as an Architectural Layer for LLM Agents: A V-Model Design, and a Pilot Study of Its Deterministic Core
- SoFT: Soft Targets for Generalizable LLM Fine-Tuning
- LLM Alignment--Utility Asymmetry under Semantic-Preserving Transformations
- Eval4DiRec: A Unified and Systematic Evaluation Framework for Diffusion-based Recommender Systems
- ESTHER: Egocentric Stereo Hand Estimation and Reconstruction in the Wild
- The Compiler May Read It, the Agent May Not: Keeping Part of a Research Code Away from a Coding Agent
- Draft in Parallel, Condition Through Depth: Adjacent Causal Injection for Speculative Decoding
- Proofs Without Nominals: G\"odel's Ontological Argument, its Shallow Embedding, and the Open Questions of the Monatshefte Notes
- WeLike2Party! In-Context Motion Transfer for Multi-Human Image Animation
- Purlin: Separating Orchestration from the Datapath of Collectives
- V-JEPA Policy: Building Effective World-Action Models on Predictive Visual Latents
- On the Relaxation of Conditional Independence Assumption for Image Segmentation
- Structure vs. Chain-of-Thought: Evaluating LLM Criteria Extraction for Depression Severity
- Ready2Blend: From Natural-Language Instructions to Composable Alignment Prompts
- Tactile Curiosity Drives Robot Interaction
- ViTeX-Bench: Benchmarking High-Fidelity Video Scene Text Editing
- Screw Attention: Rigid-Body Algebra Inside a Transformer
- MoLE: Mixture of Latent Experts for Complementary Visual Reasoning
- One Distribution, Two Channels: Coverage-Calibrated KV Retention and Compensation
- ULTRADISCOVERY: Abductive Exploration in an Interconnected, Epistemically Open Universe
- Distribution Matching Evolutionary Algorithms for Rare Event Sampling
- Clean: Second-order LLM Training at Linear Memory Cost via Nystr{\"o}m Sketching
- Scaling Verifiable Environments for Long-horizon Work Agents
- TempoBridge: Source-Conditioned Flow Matching with Optimal Transport Couplings for Single-Cell Population Transitions
- E$^2$-OPSD: Taming Entropy Overshoot in On-Policy Self-Distillation
- No Concept Escapes the Audit: Auditing-Aware Unlearning for Verifiable Concept Erasure in Diffusion Models
- Boosting Transferable Adversarial Attacks against Deep Reinforcement Learning
- CrystalJev: calibrated foundation-model probabilities decide what to compute next in materials discovery
- Scale-Invariant Training for Time Series Foundation Models
- Recurrent Looped Transformer
- SanSi: A Looped Typed Decision Model for System 1.5 Thinking
- Secure Speculative Decoding for Large Language Models
- GraphOPD: Graph-Augmented On-Policy Distillation for LLM Agents
- Mixture of Layers: Dynamic Layer Routing for Visual Reasoning
- OmniCam: Omni-Camera Trajectory Generation via Geometry-Grounded Pose Token Learning
- Coding-Agent Benchmarks Should Match Their Users' Task Flows
- Beyond Policy Support: Interaction Constrained Offline Reinforcement Learning for Autonomous Driving
- Why Software Engineering Is Indispensable in the Age of Coding Agents
- NavGPT-3: Harnessing Context in a Hierarchical Navigation Runtime
- Grammar Concept Annotation at Scale: Deployed Fine-Tuned Small Language Models Outperform Prompted Frontier Models
- AffordDrive3D: Affordance-Aware World-Action Modeling with Spatial Understanding
- Continuous Ground-Truth Construction and a Recovery Policy for Air--Water Robotic Tracking
- REMORY: Learning Residual Memory for Context Compaction
- Zatom-2: Multitask Pretraining on Atomistic Data for Generative Modeling across Domains
- Constitutional Gating and Deterministic Recovery for Multi-Agent LLM Negotiation: Ablations Against a Stateful Adversarial Gatekeeper
- Sera: Semantic Representation Aggregation with Knowledge and LLM for Reliable and Interpretable Battery Health Forecasting
- One Skill Too Many: How Co-Installed Skills Conflict in Coding Agents
- Stochastic Grouping Conformal Prediction for Effective Subgroup Reliability
- HWAM: Humanoid World Action Model With Joint State--Action Generation
- Distilling Routed 3D Privilege for Spatial Reasoning in Vision-Language Models
- Telling FIBS: Probes Effectively Detect Sabotage and Catch Unverbalized Deception
- Beyond Actions: Learning Future Operation Targets for Vision-Language-Action Models
- ReSFlow: Rectifying Categorical Flows on Statistical Manifolds for One-Step Generation
- Hide and Seek: HIDE Concepts to SEEK explanations for black box models
- MDN-VJEPA: Multimodal Probabilistic Joint-Embedding World Models
- LACRM: LLM-Guided Mining of Directed Advertiser Competition Relationships in E-Commerce Advertising
- PRIME: Frequency-Aware Unified Pruning and Merging for MoE Compression
- DoSA: Dots Sparse Attention
- Generalized PINN-Based Inverse Estimation of Spatially Varying Heat Transfer Coefficients with Transfer Learning
- SIRNET: Causal Adaptation of Pretrained Embeddings for Semiparametric Treatment-Effect Estimation Under Surrogacy
- Perfect Reconstruction Cannot Show Whether Two Codebooks on a VAE's Latent Space Agree
- DShuttleNet: A Badminton Doubles Dataset for Evaluating Team Coordination
- Historical Anchors for Scientific Forecasting on Human-Aware Knowledge Graphs
- Beyond a Better Score: Long-Horizon Agentic ML Development and Evaluation Protocol for Physics Time Series
- A Physics-Informed Hybrid Forward-Inverse Machine Learning Framework for High-Dimensional Sparse Recipe Reconstruction
- From Prototype to Massing: Learning Graph Correspondence for Scalable Facade Modeling
- ULPack: Reference-Conditioned Lossless Compression of Checkpoint Trajectories
- Refined Grid Sampling for Efficient Implicit Neural Representations of Large-Scale Scientific Data
- Agreement versus Softmax under Spatial Disambiguation
- Embedding Graph Kernel Entropy (EGKE): Fine-grained Hallucination Detection for LLMs from Embeddings
- Learning Non-Gaussian SEMs with Conditional Risk, and Why the Direction of Recursion Matters
- Adaptive-Depth Is a Finishing Stage
- Do Artificial Neural Networks Need Dendritic Nanotubes? Two Reasons for Shrinking Importance Estimates in Continual Learning
- Variance Fingerprints: Component-Wise Identification of Content Factors by Augmentation Design
- Layer-wise Input Recoverability in Deep Neural Networks
- Learning to See through Action: Predictive Curiosity for Robots
- Decentralized Bandit Learning of Markov Perfect Equilibria
- Continuous-Time Cloth Dynamics with Physics-Informed Neural ODEs
- On the Depth Transfer of Neural Optimizers via L-Smoothness
- Class-Conditional Conformal Prediction for Signal Temporal Logic Inference with Many Classes
- The Sample Complexity of Multicalibration with an ERM Oracle
- ConformalGuard: False-Positive-Controlled Action Gating for LM Classifiers
- History, Adaptation, and Hidden Gain: Two Prospective Tests of Learned Predictive Control in a Synthetic Neural Population
- When More Memory Fails: Hidden Feasibility Holes in Dynamic Tensor Rematerialization
- DPAL: A Test-Time Adaptation Loss for Financial Time Series Forecasting
- Clinical value claims in multimodal AI outpace supporting evidence
- Sparse-TD-JEPA: Improving Zero-Shot Reinforcement Learning With Sparse Latent Task Representations
- PotentialEP: Backprop-Free Training of CIFAR-Scale Generative Models via Equilibrium Propagation
- Design Choices for Multimodal Transformer Learning with Missing and Longitudinal Healthcare Data
- From Transfer Probes to Expert Grouping: Evidence from LoRA Post-Training
- Learning to Extrapolate in Depth with Looped Transformers
- A Gated Catchment Hydrology Model (GCHM) for Physically-Interpretable Rainfall-Evapotranspiration-Runoff Simulation Across Diverse Hydroclimatic Regimes
- DEFT: Disentanglement-Enhanced Fine-Tuning for EEG Foundation Models
- Query-Adaptive Neuron Steering for LLMs
- PGSB: Pretrained-Guided Shared Basis for LoRA Model Merging
- Reward-Aligned Distillation
- LLM-Augmented Bayesian Optimization with Adaptive Policies for Chiplet Design Space Exploration
- From Rainfall to Road-Network Functionality: Transferable Graph Forecasting for Flood-Disrupted Transportation Networks
- TagBO: LLM-Driven Task-Aware Graph Bayesian Optimization for Scientific Discovery
- Ascent Conditions for Length-Normalized Single-Rollout Policy Updates
- Triage-PiEvo: Evidence Admission for Principle-Evolving Scientific Agents
- One-Way Coupling via Patchwise Adaptive Normalization in Transformer Surrogates
- Accelerating Cross-Model LLM Inference via Attention Map Reuse
- Understanding Hidden Spatial Preferences in Bayesian Optimization
- Linear-Time Non-Local Codec Placement for Machine Learning Model Compression
- DeKoR: Decomposed Knowledge Routing for Efficient GNN--LLM Fusion
- Multi-Token Random-Walk Learning via Meeting-Triggered Information Exchange
- VitaBench: Memory Lifecycles Beyond Retrieval
- More Domains, No Gains? FLO: Fast-Slow Reciprocal Learning for Multi-Domain Graph Pre-training
- Random Fourier Features in Near-Linear Time
- CrossMean: Model Merging by Pairing Merged and Expert Activations
- Formalizing Forgetting: Theory of Forgetting for Online Continual Learning
- Groups Don't Move as One: A Bregman Clustering View of Linearized Group Influence
- Machine Learning-Based Prediction of Dengue Infection Using Clinical and Hematological Data from Bangladesh: A Comparative Analysis of Benchmark and Extended Prediction Models
- Sequence-Structured Decision Learning for Branch-and-Bound in Mixed-Integer Linear Programming
- Disentangling Marginal Capacity from Geometry in Optimal-Transport Label Transfer
- Terrarium: Growing Personal Assistants via Scalable Synthesis of App Worlds
- World2TS: Real-World Event Context for Time-Series Forecasting
- Blending experimental electron density information to protein-ligand interaction
- Contrastive Linearized Laplace: Loss Geometry, Valid Repairs, and Reliable Cores
- Pro-t-VAE: Closed-Form Student's t Mixtures for Robust Prototype Discovery
- Prediction with Expert Advice under Heavy-Tailed Losses
- Representation Drift in Continual Learning: LoRA versus N-gram Memory
- TLA-Verus: Generating and Solving Temporal Proof Obligations with LLM Agents
- BSIPipe: Bidirectional Sequence-Level Interleaved Pipeline Parallelism for Long-Sequence Large Language Model Training
- Compositional Average Velocity Modeling for Efficient Diffusion Offline Reinforcement Learning
- Exact Phase-Type Point Processes for Certified Measurement and Prediction of Event Streams
- HiPAD: A Unified Gait, Audio-Visual, and Personality Fusion Network for Depression Detection, with a Hierarchical Personality Ablation and the Calibration Limits of Domain-Adapted LLMs
- Cross-Material Magnetic Core Loss Prediction via Operating-Condition Matching and Partial Optimal Transport
- HodgePhaseNet: Discrete Hodge Decomposition of Semantic Flows in Transformer Attention
- Characterizing the Separability Gap in Prior-Data Fitted Networks
- Conformal Sequential Decision Making With Cost and Sublinear Policy Regret Guarantees
- Algorithmic Fairness Over Time: Advances & Prospects
- PATTERN Can Be Solved from Memory: Generator-Aware Baselines for Synthetic Node Classification
- Sparsity Saves Compute, Not Samples: Oracle Inequalities for Dense and Sparse Mixture of Experts
- Information-Theoretic Foundations of Online Temperature Sampling
- The Optimal Decoder is Tilted Temperature
- Toward a Multimodal Foundation Model for Plasma State Reconstruction
- On the Theoretical Limits of Learning Unconstrained Interatomic Potentials
- Swarm Telepathy: Prefill-Free KV-Cache Transfer Across Families
- Anchors Enhance Controllability and Reasoning of Diffusion Language Models
- Random Feature Pruning for Multi-Class Classification
- RELAGRAM: Recursive Latent Graph Model for the Capacitated Vehicle Routing Problem
- When Dynamic Scaling Fails: A Scale-State Feedback Governs Recurrent-State Quantization in Linear-Attention and SSM LLMs
- Compute-Optimal Scaling Laws for Spiking Language Models
- Sensor-Aware Joint Data Fusion and State Estimation under Sparse Multi-rate Distribution Grid Sensing
- Beyond Adjacent Layers: Graph-Guided Layer Fusion for Compressing Large Language Models
- LexiCan: Lexicographic Canonicalization of Point Clouds for Machine Learning Applications
- Only What You've Signed up For: Secure Workflows with Constrained Diffusion Agents
- Game-Theoretic Reinforcement Learning based Topology-Agnostic Defense for Virtual Power Plants
- DeltaNet-PC: Test-Time Memory Without Backpropagation Through Time
- Zeroth-Order Fine-Tuning of LLMs in Learnable Low-Rank Subspaces
- ObsSpec: Accelerating Agentic Reinforcement Learning with Observation Speculation
- Correlation-Aware Reconstruction for Multivariate Time Series Anomaly Detection
- Imperfect Verifiers, Exact Targets: Inference-Time Scaling for Continuous Generation
- FragFlex: Fragment-Based Flexible Molecular Generation for Exploring Vast Chemical Space
- FENAS: A Few-Shot Meta-Ensembling Framework for Efficient Neural Architecture Search with Synergized Zero-Cost Proxies
- CIViC: Evidence Gates for Audio-Conditioned Visual Prediction on Proxy Tasks
- Full Waveform Inversion with a Learned Preconditioner
- ANTE: Anticipate, Then Execute -- Learning Internal World Models for Coding Agents from Verified Beliefs
- Approximation in Contrastive Representation Learning
- DC-Flow: Target-Conditioned Cyclic Peptide Design via Delayed-Coupling Flow Matching
- WUSPruner: Second-Moment-Optimal Transforms for Structured Pruning
- GA-SVD: Generation-aware Singular Value Decomposition for LLM Compression
- Harnessing VLM in Embodied RL: From Reward Regressor to Success Detector via Exploration-Augmented Key-Observation Gating
- Riemannian Graph Tokenizer for Structural Knowledge Transfer
- Split Conformal Interval Length under Huber Contamination
- Revisited Support Vector Machines: A Unified Joint Optimization Framework with Nystr\"om Approximation for Scalable Adaptive Learning
- Sensitivity Fidelity Reveals Physical Dependencies Beyond Forecast Accuracy in Deep-Learning Earth-System Models
- UNISON: A Unified Framework for Learning from Scored Bags
- Truncation Samplers Are Nested: Comparing Decoding Rules Is a Measurement Problem
- The Gradient That Top-k Distillation Never Computes
- An Attention-Guided Graph Neural Network Surrogate for Boundary Integral Computation in Physical Field Reconstruction
- ProML: Progressive Multi-label Learning
- Adaptive Role Assignment and Controlled Feature Reconstruction for Federated Image Semantic Communication
- The Price of Precision: A Calibrated Cost Model for Mixed-Precision LLM Serving
- MERIT: Scaling KG Foundation Models with Relation Transformers
- Context-Aware Precision Scheduling for Small Language Models
- Testing Central Structure for Complex Networks
- Drift, Then Spread: Learning One-Step Generative Policies for Online Reinforcement Learning
- DRanker: A Transformer-Based Multi-Task Ranking Model for the Disney+ Homepage
- Generalizable Model Editing Could Be More Than Direct Generalization
- Preserving Updates in Low-Bit Recurrent State Quantization
- To Cache or Not to Cache: Understanding and Mitigating Safety Incompatibility in Cross-Model KV Cache Reuse
- A Dependency-Aware Multi-GPU Training Framework for Temporal Graph Neural Networks
- Who Sets the Pace of Judge Hacking? Judge Capability versus the Policy-Judge Gap
- Heterogeneous Structured Pruning Under Resource Constraints for Hardware-Efficient Large Language Models
- ML-CLAPPS: A Probabilistic Framework for Imbalanced Multilabel Learning under Class Prioritization
- Benchmarking Deep Learning Models for Anomaly Detection in Real-World Cloud Telemetry
- Guarded Block Transfers for Polytope Distance: Linear Convergence with Explicit Constants and Gap-Certified Screening for SVM Training
- How Shared Representations Become Specialized: Formation, Maintenance, and Latent Susceptibility
- What Do Sparse Autoencoder Feature Discovery Scores Identify? From Activations to Interventions
- GuidanceNFT: NFT-Based Reward Fine-Tuning of Guided Diffusion Models
- A Hybrid Gaussian Process-Extreme Gradient Boosting Machine Learning Framework for Robust Knockdown Factor Prediction and Reliability-Based Design of Thin Spherical Shell Caps
- Sample-Optimal Multi-Group Learning with an ERM Oracle
- Fast and Accurate: Improving Personalized LLM Performance by Semantic Concentration Inspired Workload Split between RAG and Fine-Tuning
- Mesh-Free Convolution: Learned Spectral Attenuation and Transport
- Error-Based Bidirectional Predictive Coding Enables Deep, 4-Bit Predictive Coding Networks
- Instance-Adaptive Online Multiclass Multicalibration
- Scaling Repeated-Data Pretraining: Batch Size, Regularization, and GPU-Time Tradeoffs
- Softmax-Free Attention in Spiking Transformers as the Zero-Temperature Limit of Two-Level Systems
- Probabilistic Forecasting of Wildfire Size Using Conditional Flow Matching
- Dissipative Lagrangian Neural Networks for the Interpretable Modelling of Passive Mechanical Systems
- Representational Difference Distillation
- A 4-Qubit Variational Quantum Classifier for Sequence-Specific Classification of DNMT3A and DNMT3B Flanking Methylation Preferences
- Certified Robustness via Sparse Second-Order Cone Relaxations
- Backward Conformal Prediction under Covariate Shift
- Interpretable Graph Partitioning for Spatial Prediction
- Memorization in image classification: test set behavior and scaling laws
- SelectTTRL: Representation-Guided Data Selection for Efficient Test-Time Reinforcement Learning
- Beyond Policy Rollouts: Embedding-Space Directional Exploration with Anchored Noise for LLM RLVR
- Silence and Noise: Resolving Suppression and Overvaluation in Multimodal Entity Alignment
- XForecast: The KDD 2026 Finance Day Challenge on News-Grounded Financial Forecasting
- BARTER: Compact Dynamic Sparse Training with Standard Dense Kernels
- When Participant Disjoint Validation Is Not Enough to Establish Generalization in Parkinson's Gait Classification
- From Simulated Fluids to Living Tissue: Zero-Shot Foundation Model Transfer to Perturbed Embryos
- Spectral Considerations on Unsupervised Time-domain EEG Representation Learning with Deep Networks
- Error Correction in Trained TTT Layers
- Fast Quantized Johnson$-$Lindenstrauss Transforms
- Probabilistic Simulation of Gas-Liquid Interfaces with Coupled Flow Matching on Spherical Harmonics
- A Production-Grade, High-Efficiency Agentic RL Framework for Frontier LLMs with Validated Recipes
- Sampling from Neural Operator Priors to Solve Partial Differential Equations
- Learning $\omega$-Powered Conditional Distributions with Importance-Weighted Flow Matching
- Resample the Answer: Where to Spend Test-Time Compute in Recursive Reasoning
- ECHO: Correcting Time Series Foundation Model Forecasts with Historical Analogues and Errors
- Asymptotic Risk of Learning-Rate Schedules for Least-Squares Regression with Discretely Distributed Features
- Reinforcement Learning with Hawkes-Structured Networks for Market Making
- Learning Graded Sparse Mechanisms: A Representation Theorem and Certified Generalization
- DeepFlow: Two Convergent Differentiable Approaches for Pairwise Conditional Random Fields
- Optimal Transport PAC-Bayes Bounds
- The Language of Looking: Motion Tokens Reveal Domain-Dependent Local Structure in Gaze Sequences
- Characterizing and Mitigating Distributional Bias in Physics-Informed Generative Models
- OctMole: Multiscale 3D Molecular Generation with Hierarchical Spatial Flows
- HyBRA-EEG: Hyperbolic Global-Local Brain-Region Aggregation for Self-Supervised EEG Representation Learning
- DEFlow: Deep Equilibrium Flow Maximum-Entropy Reinforcement Learning
- DR-APO: Decoupled-Representation Advantage-Guided Policy Optimization from Continuous Control to Embodied Navigation
- ACED: Reference-Anchored Aggregation of Natural-Language and Executable Evidence for Mathematical Reasoning
- Learning Deployable Causal Action Geometry under Temporal Non-Stationarity
- IND-Eval: Aligning Evaluation and Simulation for Industrial Time Series Foundation Models
- Counting with Attention and LayerNorm: Norm Scaling and Representation Geometry
- Guidance Without Labels: Flow Matching from Coupled Gaussian Mixtures
- Compression Through Time: An Interplay of Separability, Stationarity and Capacity
- Making LoRA Identifiable: Orthogonal Alignment for Continual Learning
- Attention-Graph Curvature for the Verification of Mathematical Reasoning
- Learn from Move: the Next Step for GUI Agents
- NFMap: Topographic 2D Manifold Learning with Invertible Normalizing Flows
- Is the Platform Part of the Measurement? A Protocol and Simulation Study for Cross-Platform Equivalence of Machine-Labelled Policy Sentiment
- Efficient Preconditioned Optimization Methods with Frequent Directions
- TPPO: Tracking-Value PPO For Language Model Reasoning
- One-Layer Transformers Provably Learn In-Context K-Nearest Neighbor Prediction with Chain-of-Thought
- DASS: A Solver-Adaptable Dynamic Auxiliary Search Strategy for Symbolic Regression
- Mean Accuracy Is the Wrong Estimand for a Release Decision
- The Bell Boundary of Shared Representations
- Radial Tail Repair: Post-Training Correction for Diffusion and Flow Models
- GpFlash: Maximizing Speed and Minimizing Memory for Gaussian Process Training and Prediction
- Efficient Resource-Shiftable RL Post-training with Generative Rewards
- From Parallel to Sequential: Small-Batch Noise Restores Simplicity Bias of Muon
- Sequence Composition in EHR Foundation Model Pretraining
- Learning Operators for Symmetry Discovery: From Lie Groups to Local Symmetry Geometry
- AI-Assisted Tumor-Growth Law Discovery from Sparse Data: Refitting and LLM-Based Ranking
- Making Tensor Decoupling More Robust and Less Parametric
- Learning to Design Convex Relaxations for Nonconvex Optimization
- Learning to Design SR Solvers: Harness Optimization for Symbolic Regression
- Generative Models as Adaptive Trust Regions for Discrete Bayesian Optimisation
- Constant-Depth Rational-Weight GNNs and their Connection to Schanuel's Conjecture
- Intrinsic Geometry Matching: learning observation-equivariant process geometry
- A physics-coupled graph neural operator for mid-plane six-component stress tensor field prediction in concrete penetration
- Mixture of GFlowNets
- LLM Evaluation is a Forecasting Problem
- TILE: Bridging LLMs and Table Foundation Models for Tabular Learning with Strings
- Nearest Neighbor Functional Curve Completion for Intraday Probabilistic Revisions of Renewable Generation Forecasts
- Towards Universal Calibration for In-Context Classification
- Masked Diffusion for Travel Diaries Synthesis
- Can R\'enyi Accountants Beat Lossless Accountants for DP-SGD?
- Masked Attention Pooling Is Invariant to Padding and Permutation: A Formal Proof in Lean
- OpenDGO: Benchmarking Multi-Agent Organizations Across Diverse Application Domains
- FunDM: Cheap & Label-Free Decision Models from Frozen Language Models
- ModRes: A modification of the ResPlan dataset ready for floor plan analysis and graph machine learning
- CartoVec: General-Purpose Location Embeddings from Open Map Data
- MLAfication: Efficiently Enabling High-Fidelity MLA for Modern LLMs
- Online LLM Personalization from Pairwise Preferences Across Users
- Density-Matrix Reinforcement Learning
- CodeLift: Your Test Suite Is Secretly a Dense SWE Curriculum
- MIRRA: Fast, High-Fidelity Molecular Generation with Chemistry-Informed Discrete Flow Matching
- LLM-to-Flow Distillation: Teaching Natural Language Goals to Scientific Generators
- Protocol Choices Matter More Than the Aggregation Algorithm: Federated Learning for In-Hospital Mortality Prediction in Care-Unit and Multi-Hospital Federations
- The Surprising Expressivity of a Single Neuron with Autoregressive Chain-of-Thought
- Which Geometry on Which Layer? Measured Sign-Spectral Assignment in Mixed-Optimizer Training
- A Geometrical Approach to Constructing Neural Networks for Perfect Training-set Classification
- Near-Optimal Regret Bounds for Monotone Stochastic Optimization under Semi-Bandit Feedback
- COMPASS: Membership Inference Attack Against Vision Large Language Models via Adaptive Noise Calibration
- HarnessTTT: Learn to Optimize Harness at Test-Time for Scientific Discovery
- Robustly Reliable Learning for Regression
- Variable Input Masked Autoencoders for Wrist-Worn Accelerometry
- Measure Neural Mappings
- JustOPD: On-Policy Distillation from Autoregressive to Diffusion Language Models
- Position: Beyond Training Time, Test-Time Coordination is Essential for Cooperative MARL
- When Sparsity Breaks Connectivity: Functional Reachability and Guided Topology Dynamics in Extreme Sparse Training
- Monarch-Muon: Structure-Aware Muon for Fast and Memory-Efficient Pretraining
- On Sleep-Wake Disorder Identification from Polysomnographic Representations
- Effect of Spherical Parameter Space on Number of Non-Forgetting Tasks and Capacity of Continual Learning
- Structure-preserving fidelity diagnostics for partial differential equations
- A Time-Synchronous Prequential Evaluation Framework for Next-Week Student Disengagement Prediction from Moodle LMS Logs
- Longitudinal Learner Participation Profiling in Online Learning: Heterogeneous Consensus Clustering under Unequal Observation Windows
- A Sense of Proprioception in Language Models
- Merit: Making every modality earn its contribution in multimodal attention decoding
- C{\AE}NL: Collapse-Based Active Neural Learning with Objective-Aligned Representation Control
- FedLoRD: Personalized Federated Learning based on Low-Rank Structures of Model Parameter Differences
- Calibrated Disambiguation for Partial Multi-label Learning
- Mixed Precision Scaling Laws for Quantized Pretraining
- DisaggKD: Efficient Knowledge Distillation through Teacher-Student Disaggregation and a Fused Loss
- Focus on What You Need: Global-to-Local Dynamic Attention for Multimodal Sarcasm Detection
- Confine to the Task, Anchor the Rest: Concept-Guided Retention Regularizer for Parameter-Efficient Fine-Tuning
- MissPath-FM: Flow Matching with Structured Priors for Partially Observed Time Series
- Hybrid Parallel Bessel KAN Model: a Kolmogorov Arnold Network: integrated framework for developing a novel architecture to reconstruct the fused-basis approach via a parameter free quadratic interaction
- Follow the Perturbed Leader for Linear Bandits: $\sqrt{T}$ Regret over General Convex Sets
- GeoNIRS: Geometry-Aware Pretraining for Heterogeneous fNIRS Representation Learning
- Persistence Positional Encoding: A Minimal Transformer Recipe for Persistence Diagrams
- Searching for What Matters: Open-Ended Discovery of Multiple Hypotheses with Agentic Data Exploration
- Deep Mesoscopic Dynamics
- FlashMask-3: Efficient and Expressive Mask-Aware Distributed Attention
- Stable-Plastic Subspace Construction for Differentially Private Continual LoRA
- NBCLT: Parameter-Agnostic Norm-Ball Clipped Local Training
- Stein Variational Distributional Reinforcement Learning: Score-Guided Particles for Multivariate Return Distributions
- Sea-Net: A Small and Inherently Interpretable Neural Network for Time Series Classification
- Neural Dimensional Analysis: Foundations of Dimensionless and Scale-Consistent Computation
- Exact power indices for plurality-voting ensembles
- Counterfactual Certification for Sequential Unlearning with Long-Run Performance Guarantees
- Improving Neural Symbolic Regression with a Diverse Prior and Post-training Alignment
- FRACTION: Fraud Explanation Generation via Agentic Graph Context Navigation
- Causal Discovery Under Hard Selection Bias: A New Robust Score-Matching Approach
- Failure Recovery via Belief Updates and World Modeling for Long-Horizon Agents
- Same Function, Different Trajectory: No Standard Optimizer Is Equivariant to Transformer Reparameterization
- From Spectral Saliency to Finite Deletion: Evaluating Selective Language Model Edits
- The Effect of Layer Ordering in Hybrid Architectures
- SYNPRED: A Synergistic Approach to Multimodal Learning for Clinical Prediction
- Revisiting Error Feedback for Model Quantization
- Learning a Group Element from Its Action: Galois Correspondences, Optimal ERM, and an Abel-Ruffini Threshold for the Natarajan Dimension
- Random Probing for Structural Self-Interactions in Graph Neural Networks
- Reinforcement Learning for Large-Scale Lifelong Multi-Agent Path Finding with Shared Spatial Fields
- Operator Surrogates
- Teach Me After You Learn It: Lookahead Self-Distillation for RLVR
- Optimal Online Regret for Context-Lumpable Bandits
- PING: physics informed graph neural network for advection-diffusion processes with applications to solar power forecasting
- Reliable Risk Estimation with Kernel Mean Matching under Dependent Sampling
- Bayesian Optimization of CVaR with Unknown Hyperparameters
- Over-parameterization Is Neither Robust nor Fragile in Matrix Sensing: A Geometric Theory of Solution Robustness
- Beyond Task Success: A Theory of Representation Reuse
- Multi-Stream Residual Computation in Diffusion Language Models
- Teacher-Guided Tool Learning for Small Language Models via Bidirectional KL Constraints
- Graph Metanetworks for Transformer Based Language Models
- ProTok: Unified Protein Tokenization via Modular Multi-Codebook Quantization
- SoK: Rethinking Membership Inference in Tabular Machine Learning
- Recalibrating Many Questions with Few Labels: Minimax Rates and Identification Limits
- Approximating Optimal Policies in Heterogeneous Asynchronous Multi-player Bandits
- Two For The Price Of One: Curvature-Aware Pruning Preserves Influence Functions Too
- Euclidean Distance-Based Flow Matching
- Unbalanced W-Flow: Unbalanced Wasserstein Drifting under Finite-Batch Marginal Fluctuations
- Last-Iterate Convergence of Clipped SGD with Linear Decay
- Fairness under Prediction Error in Predict-then-Optimize Pipelines
- Deterministic Prediction as Global Velocity: Flow Matching for Probabilistic Time-Series Forecast
- MultiAlloc: Budget-Aware Precision Allocation for KV Cache Quantization
- Does Pretraining Teach Chemical Language Models Chemistry?
- Bayesian Test-Time Inference of Task-Aligned Similarity from Weak Interactive Feedback
- BridgeTwist: Twisting Schr\"odinger Bridges for Training-Free Conditional Sampling
- A Refresh Interval Does Not Fully Specify a Refresh Schedule: Learning-Rate-Dependent Placement in Kronecker-Preconditioned Language Model Training
- Learning Source Structure: Bayesian Prediction with Transformers
- On the Monitorability of Natural Language Autoencoders: Identification vs Discrimination
- Learning When to Transfer: Reinforcement Learning for Carbon-Footprint Modeling in New Manufacturing Domains
- SP$^2$ec: Adaptive Self-Speculative Decoding for Vision-Language Models
- Enabling Token-wise Importance Sampling in Off-Policy RLVR with Proximal KL Regularization
- SkillScaffold: Scaffolding Agentic Reinforcement Learning with Policy-Adaptive Skill Credit Assignment and Selective Injection
- Depth Memory
- Statistical Vignettes on the Grokking Phenomenon
- Scaling Online Optimal Transport Minibatches for Flow Matching
- Exact Topological Compliance: Generating Persistence-Equivalent Graphs
- AERR-Nav: Adaptive Exploration-Recovery-Reminiscing Strategy for Zero-Shot Object Navigation
- Mira-Embeddings-V1: Domain-Adapted Semantic Reranking for Recruitment via LLM-Synthesized Data
- Deterministic denoising of long-duration gravitational-wave signal candidates with $\alpha$-(de)blending
- SlideDP: Scaling Host-Resident LLM Fine-Tuning Across Multiple GPUs
- BandPC: Learning Residual-Band Preconditioner Combinations for Flexible Conjugate Gradient Solvers
- Quasi-Binarized Autoencoders: An Architecture-Independent Information Bottleneck for Medical Image Anomaly Detection
- PsyBer-Agent: A Psychology-Driven User Agent for Recommender Systems
- How Vision Transformers Represent Position: A Mechanistic Comparison of Absolute and Rotary Positional Encodings
- Disease-level drug approval forecasting from trial-agnostic public data
- Pristine Models
- Human Pose Estimation by Probabilistic Mixtures of Gaussian and Uniform Distributions
- Does System One Transfer? Calibrated Typed-Decision Models, Label Budgets, and Translation for Indonesian Regional Languages
- Early Detection of Pension-Sponsor Distress from Public Filings: A Sponsor Vulnerability Index, Stress-Augmented VaR, and Dynamic Self-Investment Caps
- Hierarchical Multi-Agent Reasoning Systems for Knowledge-Grounded Material Substitution
- On physical implementability of reinforcement-learning-driven reasoning
- A Stochastic Analysis Perspective on Diffusion Models
- AutoEnvScaling: Automating the Data Flywheel with Terminal Agents
- Simple Linear Corrections for Compression in Late Interaction
- Token-Budgeted Candidate Retrieval for 3D Scene-Grounded VLMs: Category Names vs. Pairwise Geometry
- BigCell: Generating Gigapixel Whole-Slide Images
- Learning to Sync at the Edge: Client-Side Adaptive Synchronization for Federated Learning
- Diagnosing Generalization Boundaries in AI-Based Vulnerability Detection via Calibrated Embedding Distances
- STREGO: A Scalable Implementation of a Trust-Region Framework for Noisy Bayesian Optimization
- Decomposing A Neural Learner
- Understanding and Mitigating Training Instability in Large-Scale Recommender Systems: A Cascade Perspective
- SPROUT: Scaling Agentic Reinforcement Learning for Long-Horizon Software Engineering
- Scaling Laws for Multimodal Data Mixtures
- ByteMark: A Unified Byte-Level Watermark for Detection Across Language Models
- TartanMatch: Towards Universal Dense Correspondence Across Modalities
- Identication and Estimation of Nonsymmetric Determinantal Point Processes
- Learn the Dynamics, Enforce the Physics: Generative Latent Operators for High-Dimensional Beam Evolution
- Chunk-wise Model-based Policy Optimization
- Strong Gaussian Approximation of Constant-Learning-Rate SGD: Bias and Trajectory Inference
- Dissecting the Carbon-SLO Tension in Geo-Distributed LLM Serving
- Fine-Tuning Strategy, Not Just Data: A Statistically Rigorous Audit of Gender and Stereotypical Bias in Embedding Models for HR Recommendation Systems
- Rethinking Opinion Measurement Interfaces for Human-in-the-Loop Optimization
- KedgeFlow: A Programmable Control Plane for Enterprise AI Agents
- Explore This! Beat and Downbeat Tracking From a Learned Tatum Grid
- Physics-informed random neural architectures on compact boundaryless multiply connected manifolds for random-operator models in machine learning and uncertainty quantification
- Dependency Reasoning for Aspect Sentiment Quadruple Prediction
- FDTD Model of Noise Pollution from an AI Data Center
- Minimum Volume Optimal Transport for Multivariate Conformal Prediction
- An Algebraic Approach to Constrained K-means Clustering
- CFG-Policy: Unified Diffusion Policy Learning Framework via Classifier-free Guidance
- SEEK: Agentic Knowledge Graph Retrieval for Secure Code Generation
- Metric-Driven Reinforcement Learning for Object Hallucination Reduction in LVLM-Based Image Captioning
- DiffGA: Steering Frozen Diffusion Models for Materials Design via Evolutionary Search
- DisCo Algebra: Why Disintegration and Combination Are Not Inverses
- What Drives AI Citations? Content, Retrieval and Model Knowledge in Generative Engine Optimization (GEO)
- Energy-Guided Learning for Heat Equation with Noisy Source: Optimal Estimation and Generalization Bounds
- Data-Topology Compatibility Enables Personalization in Decentralized Learning
- Sanzaru: Benchmarking Protocol Formation under Epistemic & Communication Asymmetry
- Physics Foundation Models for Efficient Control of Fluid Flows
- SAFE-KV: Causal Suffix Repair for Behavior-Preserving Non-Prefix KV Cache Reuse in RAG
- MoSAIC: Learning DAG Scheduling Heuristics from Optimal Schedules through Motif-Aware Recovery and LLM-Guided Reasoning
- Non-Euclidean Gradient Descent Has Many Edges of Stability
- Explicit Bounds on Hoffman Constants for Sparse Polyhedral Regularizers
- What a Data Release Must Preserve for Off-Policy Evaluation
- Deep Neural Mixed Models for Nonlinear Longitudinal Prediction with Subject-Specific Heterogeneity
- CoLA: Multi-VLA Coordination via Learned Adapters
- JSIR: An Audio-Aligned, Multi-Task Dataset of Jazz Standard Recordings
- LiveAnon: Improving Privacy and Utility in Streaming Speaker Anonymization with Codec Language Models
- From Acoustic Sensing to Physical Actions: A Comprehensive Survey of Security Risks in Edge-Deployed Audio LLM-Based Agents
- Harnessing SPAD Noise: Test-Time Gated Attention for Indoor Depth Estimation
- Personalized Physiological-Model-Based Neural Network for Glucose Forecasting in Type 1 Diabetes
- AlphaPilot: Multi-Turn Tool-Using LLM Agents for Adaptive Alpha Mining with Reinforcement Learning
- RF Fingerprinting of DSP Implementations using Machine Learning: An Over-the-Air Case Study
- Poisoned into Action: Context Attacks on Typed Decision Workflows
- Beyond Aggregate Drift: Optimal Client-Specific Windows in Federated Learning
- Vision-Predictor-Action: Towards Efficient Embodied AI via Neuro-Symbolic JEPA Predictors
- Latent-Space Importance Weighting under Covariate Shift
- Joint Contrastive-Adversarial Representation Learning for Unsupervised Domain Adaptation
- Screening Collapse under Recursive Synthetic Data
- Robust Detection of Directional Adversarial Attacks in Deep Neural Networks for Radiological Imaging
- ProtoPur: Prototype-Purity Pseudo-Labeling for Weakly Supervised Instance Learning in Pathology
- When do explicit penalties improve flow matching?
- Notes on Uniform Policy Score Bounds and Lipschitz Continuity for Truncated Gaussian, Product Cauchy, Boltzmann, and Softmax Policies
- Adaptive Robust Confidence Sets in High Dimensions
- Enhancing Zero-Shot Domain Transfer in Low-Resource Sentiment Analysis: A Case Study in Marathi
- Robust Marathi Sentiment Analysis using Domain-Adaptive Pre-training and Data Augmentation Approaches
- Inference on the Value of Policy Improvement in Adaptive Experiments
- Grounding Deep Learning Framework Testing in Data Flow
- Latent Taxonomies: How Property Induction Develops in Language Model Pre-training
- Mobility Helps Learning: Unsupervised Model Adaptation for Object Recognition via Movement
- Entropy-Regularized Mean-Field Games with Average-Reward Criterion: Span-Seminorm Contractions and Model-Free Learning
- Minimax Rates and Improved Spectral Convergence for Multi-Manifold Clustering
- Lightweight Scheduling Policies for Continuously Batched LLLM Serving Across GPU Architectures
- Two Linear Programs are Better than One
- Frequency-Step Cache: Separating Synchronization and Repair for Efficient Autoregressive Video Diffusion
- Physics-guided machine learning for saturation control across variable hydraulic conditions in heap leaching
- Small area learning
- Harmonic Representations in Symbolic Music Transformers are Localized and Controllable
- Using Line Segment Tracking to enable ML-based Track Reconstruction in CMS
- Improving the Evaluation of Biomedical Question Answering with Few Human Preference Signals
- Limit Theory for Online Expectile Estimation under Short and Long Range Dependence
- A Nonlinear Time-Series Theory for Constant-step SGD with Momentum
- CLNO: Conservative Local Neural Operator for Compressible Flow Prediction
- How the Classical Baseline Shapes Machine-Learning Speed Claims in Topology Optimization
- Regime-Aware Router Learning for Multi-Domain Medical Image Generation with Diffusion Experts
- CloneOT: predicting clone-specific perturbation responses with lineage-supervised neural inverse optimal transport
- Elephant in the Fridge: Constant-Memory Frame Packing for Long Video Understanding
- Distributional Regression for Arbitrary Response Variables Using ReLU Neural Networks
- Equilibrium Learning in Unbounded Stochastic Games with Gaussian Transitions
- Think Before You Speak: Enabling Training-Free Latent Communication Between Language Models
- Exploration strategies for Gaussian process bandit optimization with inference regret guarantees
- MSC: Multi-Stage Caster-aware Control Framework with Uncertainty-Aware NMPC and RL-based Execution Layer
- NetRL: Powering Network Decisions via NetGRPO-Driven Reinforcement Learning
- Deep learning methods for gamma event selection in TAIGA-IACT image analysis in stereo-mode
- Deep Speech Representations Track Word Timing along a Low-Dimensional Circular Trajectory
- Moment-Based Anomaly Detection in High-Dimensional Mixed Data
- RIFT: Token Influence Follows the Path of Least Resistance
- naspaclust: A hybridisation of spatial fuzzy clustering with nature-inspired optimisation
- QBFF: Deep Quantum Bottleneck for Automatic Speaker Verification Anti-Spoofing
- Taming Nonconvexity with Epigraph Lifting
- Explaining Heterogeneous Treatment Effects with Causal Forests and the Hoeffding Functional Decomposition
- A temporal graph dissimilarity measure capturing epidemic spreading behavior
- Differential Privacy Protected Preference Alignment on Survey Derived Data
- Online Individualized Treatment Selection under Partial Feedback: False Discovery Control and Minimax Optimality
- KARAMEL: Knowledge-Aware Ranking for Multimodal Entity Linking in the Arts via Heterogeneous Graphs
- Trust-Calibrated VLA Policy Post-Training with Evolving Imagination
- Learning Reachability-Based Safety Representations for Real-Time Robot Navigation in Unknown and Dynamic Environments
- Spectral-Driven Adaptive-Rank Optimizer for Large Language Model Reinforcement Learning with Verifiable Rewards
- Learning, Compression, and Meta-Complexity
- Neural Network Preconditioning: A Case Study for the Solution of the Parametric Helmholtz Equation
- Know Yourself and Know Your Neighbour: A Syntactically Informed Self-Supervised Compositional Sentence Representation Learning Framework using a Recursive Hypernetwork
- Scalable Identification of Physics-Based and Neural Dynamics from Partial Measurements
- From a Large-Scale Teacher to Efficient Multimodal Students for Search Relevance Prediction
- $\texttt{NFDiag}$: High-dimensional MCMC Convergence Diagnosis with Normalizing Flows
- Variational Filtering for Bayesian Last Layers with an Independent Binary Probit Surrogate
- LLM-HB: Language-Aware LLM-Guided Hotword Biasing for Code-Switching ASR
- Code-Interactive Visual Reasoning for Financial Candlestick Understanding
- JtT: Rethinking Point Trajectory Diffusion for Diverse and Rigid Motion from an Image
- Prorsa: Unleashing the Potential of Prefill-Decode Disaggregation in Agentic Reinforcement Learning
- RFWeave: Learning Wireless Propagation Across Scenes and Transceiver Configurations
- Amortized Variational Inference of Latent Intensities from Replicated Point Patterns
- Spectral Costs of Multinomial and Residual Resampling in High-Dimensional Particle Ensembles: A Free-Probability Analysis
- Universal Distributed Feature Extraction Complementary to Side Information via H-Score
- Amortised adaptive importance sampling
- CopyQuad: Quadrupedal Skill Transfer from a Single Side-View Video Without a Depth Model
- A Bethe-Ansatz Source of Early Token Correlations: A marginal-preserving construction for parallel proposals
- When Repeated Measurements Hurt Tabular Foundation Models
- Predicting Audio Popularity: A Comparative Study of Metadata and Acoustic Features Across Music and Sound Effects
- Carve VFM: Carving Specialists out of Generalists, Automatic Task-Specific Compression of Vision Foundation Models
- On the Calibration of Crowdsourcing Aggregators
- Statistical Downscaling of Daily Precipitation from ERA5 Atmospheric Fields to IMERG over West Africa
- Calibrated $\alpha$-Barycenters for Multiobjective $f$-Divergence Optimization
- Sample-Size Extrapolation in Simulation-Based Inference via Statistical Scaling
- Feature Normalization under Finite Training Budgets
- Better together? A performance theory of human-machine skill policies under generalization difficulty
- FORGE: Procedural Weight Generation for Sparse MoE Inference
- Barycentric Guidance: Turning Foundation Image Editors into Continuous Affective Controllers
- ML Engineering Agents - A Data Management Perspective
- Time Window Optimization for Motor Imagery Classification via Temporal Structure Embedded Reinforcement Learning
- Minimax Optimality of Shampoo for Nonstationary Stochastic Optimization
- DiTSG: Context-Aware Air Traffic Scene Generation with Multi-Agent Diffusion Transformers
- Predicting Mental Health Help-Seeking Behaviour on Reddit: A Survival Analysis of Linguistic and Behavioural Signals
- Multi-Agent Deferred-Decision Trajectory Optimization with Anytime-Valid Target Retention for Moving Candidates
- Honeycomb Crystal in a Mass-Asymmetric Electron-Hole Bilayer
- MENTOR: Procedural Shielding of Tool-Using LLM Agents
- Measuring Variable Importance Using Proportional Inclusive Marginal Effects
- In-context classification: Calibration and noise in linear attention with softmax readout
- LocalTrain: Integer-Only Local Learning for Energy-Efficient CNN Training on Edge FPGAs
- Gluing Local Contexts into Global Meaning: A Sheaf-Theoretic Decomposition of Transformer Representations
- SCOPE Before You Sample: Conformal Scores Guide Posterior Exploration for Fast and Calibrated Bayesian Predictive Inference
- Implicit and explicit reparameterizations of the Folded Normal and Rice distributions
- Neuromorphic Decoding and Dynamical Image Reconstruction from Populations of Spiking Retinal Ganglion Cells
- A Generalized McDiarmid Inequality: Sample Reuse and Non-Uniform Unbounded Differences
- Comprehensive Workflow for Uncertainty-Aware Ionic Liquid Solvent Discovery
- Soft Teacher Forcing
- Solvating machine-learning interatomic potentials for solution-phase chemistry
- Tight End-to-End Accounting for Differentially Private Synthetic Data
- HybridDualPathNet: Cross-Fusion Attention of EfficientNetV2 and Swin Transformer for Brain MRI Classification of Alzheimer's and Parkinson's Disease
- Value-Preserving Action Quantization
- Colored Graph Signal Diffusion Models
- Calibrating LLM Explanations to Human Decisions with Reinforcement Learning
- Deeply unrolled alternating projections for phase retrieval
- GPU Goldmines: Tunable WebGPU Kernels for Edge LLM Inference
- SSM-Attack: Learning Where to Perturb for Black-Box Face Privacy
- Accounting for model error in ensemble variational data assimilation through learned generative dynamics
- Monitoring for Shifts at Unknown Times: Parameter-Free Conditional Conformal Martingales
- A Method for Exact Enforcement of Boundary Conditions on General Curved Triangular Domains: Algorithm and Application to Scientific Machine Learning
- Formal-Verification-Guided Bayesian Optimization for Non-Intrusive Last-Mile Coverage Closure
- BrowseSafe++: Benchmarking Prompt Injection Detection Across Web Contexts, Languages, and Browser Views
- Selective Inference for Clustering Under Unknown Covariance
- Efficient Fr\'echet Distributional Decoder Alignment for Latent Generative Models
- From Orbit Matching to Docking: A Hierarchical Reinforcement-Learning Approach to Multiphase Rendezvous Trajectory Design
- ATTUNE: Agentic Throughput Tuning for LLM Training
- Risk-Averse Inference-Time Diffusion Model Alignment with Finite-Sample Guarantees
- Training Generalist Navigation Policies via Action Self-Distillation
- textGrain watermarking is harder to detect: can sum-tests still do it optimally?
- Deficit-Driven Stratified Acquisition for Building STRATA-S12: An Open SAR-Optical Corpus for Self-Supervised Learning
- Encoding Context into LLM Weights: What Makes It Context?
- A Differentiable 3D Scene Graph Metric via Contextual Hellinger Triplet Geometry
- Representation Geometry and Inductive Biases in Quantum Classifiers across Classical Visual Benchmarks
- DT-LoRA: Reaching Beyond the Tangent Space of Low-Rank Adaptation
- Geometric Structure Predicts Per-Example Neighborhood Loss Under PCA Truncation
- Beyond the End-Effector: Learning Whole-Arm Contact Manipulation from Human Demonstrations
- SPARCL: Spatially Adaptive Regional Coverage for Active Learning in Chest X-ray Analysis
- Learning Distributions from Samples and Qualities
- CALM-5G: Event-Level Conformal Risk Control for Predictive Service-Assurance Alarms
- AlignPred: Error-Controlled KV Cache Compression via Alignment and Predictive Coding
- Rarity Determines Minimax Rates of Semantic Entropy From Weak Pairwise Judgments With a Known Channel
- All-electron machine-learned orbital-free density functional for periodic CHNO systems
- Weighting-Based Strategies for Classification: Analysis and Local Peak Dynamics with CART Trees
- LADDER: A Long-Horizon Robot Manipulation Benchmark
- Privacy-Preserving GNN Inference on Financial Transaction Graphs via Homomorphic Encryption
- Reliable Scale-Free Bandits via Empirical Likelihood
- Distance Prediction for Quantum Codes
- Link Both Views: Cross-Image Routing Attention for Dual-Endpoint V2I Beam-Pair Power Prediction
- Hierarchical Time Series Forecasting with Operator-Valued Kernels
- When Does Opponent Modeling Pay Off? Spatial Inference Stabilises Reinforcement Learning under Partial Observability
- Robust Logical Anomaly Detection under Capture Shifts via Synthetic Anomalies
- Probing the Geometry of Color Representations in Multilingual Language Models
- On the Optimality of Random Features under General Conditions: Misspecified Cases and Robust Learning
- Beyond RMSE and Granger Gain: Multi-Horizon Forecast-Error Entropy for Nonlinear Predictive Coupling
- LunaTP: Enabling Efficient and Scalable Tensor Product for Equivariant MLIPs
- Overcoming Catastrophic Forgetting: Continual Learning for Radar Waveform Classification
- Convergence-Rate-Guided Algorithm Design of Expected Improvement for Continuous Simulation Optimization
- FastEEP: Fast Intra-Instance Elastic Scaling for Expert-Parallel MoE Serving
- Kairos: Transactional Security Enforcement at the System Boundary for LLM Agents
- Simplifying and Improving On-Policy Distillation for Few-Step Diffusion
- Lifting: Quantum State Discrimination Framework for Mid-Circuit Measurements
- Steering the Fidelity in State Preparation on Noisy Bosonic Systems with Risk-Seeking Optimization
- How Low Can You Go: Fine-Tuning LLMs with Bayesian Optimization (LlMBO)
- Towards Safe Autonomy for Computer Use
- Beyond the Encoder: Object-Centric Representations Emerging from Segmentation Foundation Models
- Understanding Circulant Permutation to Extend the CMinHash Estimator
- Linear Last-Iterate Convergence Rates for Optimistic Learning in Harmonic Games
- Autonomous Cyber Operations Gym for Training and Evaluating AI Models for Defence
- Minimax rates for pointwise CATE estimation: the role of design smoothness
- MajorTOM:Elliot Pretrain, A Multi-Sensor, Multi-Temporal Pretraining Dataset for Earth Observation
- Grid or Nodes? Probing Object Memory in World Models Under Partial Observability
- Texture Interpolation as Texton Matching
- On Collusion-Free Teaching in Planar Graphs
- AIRRI: Towards a Human-Readable, Machine-Resistant Reading Interface
- Emergent Loop Geometry in Gauge-Equivariant Graph Neural Networks
- Registration is a Representation Problem: Solving Whole-Body PET/CT Registration
- Joint Neural Posterior Estimation and Model Selection for Chemical Reaction Networks
- Data Free Training of Diffusion Models for Lattice Field Theories
- Cepheid: Decoupling Scale from Structure for Cross-Family Motion Completion
- Efficient Constrained Graph Search for Post-hoc Error Correction in Binary Classifiers
- The Geometry of the Set of Equivalent Linear Neural Networks
- Transductive Off-policy Proximal Policy Optimization
- Convergence of Sharpness-Aware Minimization Algorithms using Increasing Batch Size and Decaying Learning Rate
- Generative Conformal Prediction with Optimized Coverage Allocation
- Differentially Private Synthetic Data via APIs 3: Using Simulators Instead of Foundation Model
- Sublinear Algorithms for Wasserstein and Total Variation Distances: Applications to Fairness and Privacy Auditing
- Asynchronous Sharpness-Aware Minimization For Fast and Accurate Deep Learning
- Weisfeiler and Leman Follow the Arrow of Time: Expressive Power of Message Passing in Temporal Event Graphs
- The Serial Scaling Hypothesis
- Understanding the Interplay between Memorization and Learning in Large Language Models
- Inexact calculus of variations on the hyperspherical tangent bundle with connections to the attention mechanism
- PVD-ONet: A Multi-scale Neural Operator Method for Singularly Perturbed Boundary Layer Problems
- Signature-Kernel One-Class Learning with Manifold Regularisation for Multivariate Time Series Anomaly Detection
- Cross-Subject and Cross-Montage EEG Transfer Learning via Individual Tangent Space Alignment and Spatial-Riemannian Feature Fusion
- A Note on Graphon-Signal Analysis of Graph Neural Networks
- Bouncy particle sampler with infinite exchanging parallel tempering
- JaGNet: Detection, Identification and Position Error Correction of GNSS Jamming with Deep Temporal Graphs
- Bayesian Optimization under Uncertainty for Training a Scale Parameter in Stochastic Models
- Efficient Test-Time Adaptation through Latent Subspace Coefficients Search
- Stochastic Difference-of-Convex Optimization with Momentum
- Deep Jump Gaussian Processes for Surrogate Modeling of High-Dimensional Piecewise Continuous Functions
- Reviving Stale Updates: Data-Free Knowledge Distillation for Asynchronous Federated Learning
- The Optimization Landscape of Carath\'eodory Decomposition of Toeplitz Covariances
- A Nesterov-Accelerated Byzantine-Robust Federated Learning
- QuAnTS: Question Answering on Time Series
- From Topology to Retrieval: Decoding Embedding Spaces with Unified Signatures
- PISA: Prioritized Invariant Subgraph Aggregation for Out-of-Distribution Generalization on Graphs
- UMM-RM: An Upcycle-and-Merge MoE Reward Model for Mitigating Reward Hacking
- Understanding Negative Learning in Large Language Model Fine-tuning
- Quantum-Classical Physics-Informed Neural Networks for Solving Reservoir Seepage Equations
- ASCIIBench: Evaluating Language-Model-Based Understanding of Visually-Oriented Text
- Wait, Wait, Wait... Why Do Reasoning Models Loop?
- Deep Learning and Elicitability for McKean-Vlasov FBSDEs With Common Noise
- AdvJudge-Zero: Binary Decision Flips in LLM-as-a-Judge via Adversarial Control Tokens
- KerJEPA: Kernel Discrepancies for Euclidean Self-Supervised Learning
- Unrolled Neural Networks for Constrained Optimization
- Signal from Structure: Exploiting Submodular Upper Bounds in Generative Flow Networks
- Mechanistic Evidence for Spectral Structures in Prior-Data Fitted Networks
- Transfer Denoising of Low-Rank Plus Sparse Matrices under Ambient and Rank Growth
- Federate the Router: Learning Language Model Routers with Sparse and Decentralized Evaluations
- FIRE: Multi-fidelity Regression with Distribution-conditioned In-context Learning using Tabular Foundation Models
- Towards Optimality in Active Preference Learning
- Distance Marching for Generative Modeling
- Grables: When Graph Structure Helps Tabular Prediction
- Flow Matching for Offline Reinforcement Learning with Discrete Actions
- A Behavior-first approach to Multi-Intention Inverse Reinforcement Learning
- Certified Per-Instance Unlearning Using Individual Sensitivity Bounds
- A Structural Theory of Position Bias in Transformers
- What is the Value of Censored Data? An Exact Analysis for the Data-driven Newsvendor
- Rethinking Floorplan Generation with Space Syntax: From Design Theory to Model Improvement
- TopoCurate:Modeling Interaction Topology for Tool-Use Agent Training
- Next-token Preference: Scaling Unsupervised Reward Modeling
- Less Noise, Same Certificate: Retain Sensitivity for Unlearning
- SERQ: Saliency-Aware Low-Rank Error Reconstruction for LLM Quantization
- Deep probabilistic model synthesis enables unified modeling of whole-brain neural activity across individual subjects
- Holistic Scaling Laws for Optimal Mixture-of-Experts Architecture Optimization
- Structural Pass Analysis in Football: Learning Pass Archetypes and Tactical Impact from Spatio-Temporal Tracking Data
- Soft MPCritic: Value-Based Reinforcement Learning for Non-Differentiable Predictive Control
- Hierarchical Planning with Latent World Models
- The causal relation between off-street parking and electric vehicle adoption in Scotland
- Learning to Test: Latent Representation Learning for Dynamic Instability Detection
- L1 Regularization Paths in Linear Models by Parametric Gaussian Message Passing
- Cover meets Robbins while Betting on Bounded Data: $\ln n$ Regret and Almost Sure $\ln\ln n$ Regret
- Probabilistic Circuits for Irregular Multivariate Time Series Forecasting
- AdNGCL: Adaptive Negative Scheduling for Graph Contrastive Learning
- Bilinear Mamba-Koopman Neural MPC for Varying Dynamics
- Fitted Q-Iteration with Continuous Actions and Adaptive Data: Smoothed Coverage and Minimax Rates
- Requests of a Feather Must Flock Together: Batch Size vs. Prefix Homogeneity in LLM Inference
- Constrained Contextual Bandits with Adversarial Contexts
- Federated Layer-Wise Exchange for Cross-Client Money Laundering Pattern Detection
- Diffusion-Based Posterior Sampling: A Feynman-Kac Analysis of Bias and Stability
- PACEvolve++: Improving Test-time Learning for Evolutionary Search Agents
- Slowly Annealed Langevin Dynamics: Theory and Applications to Training-Free Guided Generation
- ErrOPD: When Does On-Policy Distillation Transfer Teacher Errors?
- Doubly Robust Proxy Causal Learning with Neural Mean Embeddings
- The Value of Mechanistic Priors in Sequential Decision Making
- Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning
- Train Short, Act Long: Multistability and the Horizon Independence of Recurrent Policies
- Verifiers in the Loop: Decoding Time Verification for Code Translation
- OScaR: The Occam's Razor for Extreme KV Cache Quantization in LLMs and Beyond
- Exploiting Non-Negativity in DAG Structure Learning
- Noise Schedule Design for Diffusion Models: An Optimal Control Perspective
- Do Deep Ensembles Actually Capture Uncertainty in Graph Neural Networks?
- Do You Even Need More Data? Rethinking LLM Deployment for Label-Scarce Tabular Classification with TabLens
- Interaction-Limited Safe Continuous-Time RL for Dynamical Medical Treatment
- Novel Aspects of IEEE SA P3109 Arithmetic Formats for Machine Learning
- Geometry-Aware Reinforcement Learning for 2D Irregular Nesting
- PhaseQuant: Mitigating Activation Quantization Collapse via Residual-Stream Dynamics
- Learned Structure Shows Up Earlier in the Task's Own Basis: A Controlled Look at a Synchronisation Precursor in Grokking
- Demystifying Hidden-State Recurrence: Switchable Latent Reasoning with On-Policy Reinforcement Learning
- Understanding Helpfulness and Harmless Tension in Reward Models
- Constrained Diffusion Models with Primal-Dual Inference
- Horizon Adaptive Offline Policy Learning via Value Stitching
- Lifelong In-Context Learning with Transformers Requires Parametric Forms of Attention
- Blackknife: Query-Free Black-Box Rewiring Attacks on Heterogeneous Graph Neural Networks
- FlexTab: A Flexible Encoder-Decoder Architecture for In-Context Learning Across Diverse Tabular Tasks
- Auditing Finite-Lag Statistics of Recurrent Representations
- ManifoldFlow: Spectrum-Learnable Stiefel Optimization via SPD Relaxation
- Qantara: Bridge-Flow Training for Multi-Paradigm JEPA Inference
- A Coin Flip Per Token: Bernoulli Sparse Steering of Large Language Models
- Efficient Long-Horizon Learning for Learned Optimization
- On Generalizing Preference-based Reinforcement Learning to Multi-Objective Problems
- From hyperplanes to hyperellipsoids: a pedagogical bridge from linear classifiers to single-qubit mixed-state classifiers
- Neural Non-Equilibrium Hamiltonian Monte Carlo for Corrected Boltzmann Sampling
- DRNOISE: Benchmarking Deep Research Agents in Misleading Evidence Environments
- H$^2$SD: Hybrid Hindsight Self-Distillation
- Modeling Fly Social Behavior with Agent-Centric Pose Forecasting
- Learning What Matters: Causal Evidence Sets for Global Context Pruning
- RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention
- Per-Context Reverse Curricula for Sparse-Reward Reinforcement Learning
- Inverse Learning of Latent Risk-Neutral Densities from Irregular Option Quotes
- Flow Matching with Missing Data
- Progressive Agent Skill Generation via Reinforcement Learning
- SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval
- EvolveNet: Collaborative Harness Evolution for Agent Self-Improvement
- KV-Skill: Forging Expertise in the Model's Native Language
- SAGA: Score-Weighted Adaptive Generation Alignment for Low-Resource Nordic Language Models
- Every Cache Entry Earns Its Place: Global Allocation of Resolution and Coverage for KV Cache Compression
- Online Conformal Prediction Beyond Feedback
- Forecasting Without Full Identification: Reliability and Computational Cost in Clot-Growth Simulation
- Why AI Detection Fails for Academic Integrity
- Certified but Private: Scalable Zero-Knowledge Proofs for Neural Network Guarantees
- SIGMA: Symmetry-aware, Intelligent, Geometric, Multi-faced Adaptive Traffic Control for Reliable Intelligent Transportation Systems
- AQLoRA: A Zero-Search Recipe for Fast Quantized LoRA Fine-Tuning
- A Token-Level Analysis of Sampled-Token Reverse-KL On-Policy Distillation
- Circuit Condensation: Post-Training that Concentrates a Behavior's Causal Circuit
- Parser Transitions Already Reveal Structural Responsibility: KV Persistence for Structured Generation
- Sparse Koopman Autoencoders Identify Local Dynamical Regimes in Multibasin Systems
- Subliminal Learning as Trait-Direction Drift: A Mechanism and Targeted Control under SFT Distillation
- Evaluating and Recalibrating Probabilistic Classifiers from One-Bit Threshold Queries
- Hessian-Informed Conformation Augmentation for Potential Energy Surface Curvature in Machine Learning Interatomic Potentials
- A First-Order Learning Algorithm for Online Resource Allocation with Constant Regret
- Topological Fraud Detection in Latent Transaction Spaces
- Structured Multi-Level-Set Inversion for 3-D Electromagnetic Inverse Scattering
- From Protocols to Evidence: Bounded Claims for AI in Service of the Common Good
- Evaluating LLM-Generated Rules for Heart Disease Prediction
- CyFM: Cylindrical Optimal Transport for Few-Step Complex-Valued Flow Matching
- Convergence rates for generative drifting flows: fixed-scale obstructions and multihead acceleration
- The record is part of the task: matched-record evaluation of text classifiers across maintenance, safety and recall reporting
- When AI Reviews Train AI Reviewers: Scientific-Judgment Collapse and Mitigation
- Trading Depth for Time in Recurrent Transformers
- WildfireSpreadBench: The Metric Decides the Model in Wildfire Spread Prediction
- Token Utility Is Selection-Conditioned: Coupled Selection of Prompt Context and Response Supervision for Instruction Tuning
- Multivariate quantile regression via Kolmogorov-Arnold Networks
- NAVIR: Neuromorphic Audio-Visual Speech Recognition for Robust Human-Robot Interaction on Edge Hardware
- Mean Velocity Matching: Rethinking Generative Dynamics in Diffusion Models
- When Post-Processing Fairness Constraints Help and When They Harm: Evidence from Eight Cross-Domain Evaluations
- WTF?! Simulation-Free Reinforcement Learning with Wasserstein-Tilted Flow Maps
- Limiting-Kernel Q($\lambda$): Bridging Short and Long Horizons
- CataOPD: Catalytic On-Policy Distillation for Large Language Model Reasoning
- GeoACE: Geometry-Diverse Anchor-Correction Ensembles for Heterogeneous Treatment Effect Estimation
- Feature Selection for Tabular Foundation Models: Exploring Feature Utility in Low-Data Molecular Prediction
- You Only Edit Once: Incentivizing In-Context Capability of LLMs via Local Demonstration Refinement
- Predicting Delayed Train Trajectories on the Dutch Railway Network: Explainable AI Evaluation of Topological, Operational and Weather Features with Tree Based Ensemble Methods
- NeuronSifter: An Agent-in-Twin for Prioritizing Central Nervous System Interventions with World Action Models
- Koa-decision: Fast and Consistent Structured Decision Making with Generative LLMs
- CHAIN: Calibrated LLM Forecasting via Causal-Temporal Hypergraph Inference
- PatchKV: Weight-Space Compensation of KV Cache
- Preemptive LLM Unlearning against Forbidden Capability Acquisition via Gradient Sealing
- Accelerated Algorithm for Sparse Regularized Partial Optimal Transport
- Policy Iteration Is Not Strongly Polynomial for Deterministic Markov Decision Processes: The Price of Algorithmic Anarchy
- From Spectra to Joint Schedules in LLM Pre-training: 3+3(+2) Scaling-Law Regimes
- SkillSpec: Consensus-Gated Agent Skill Evolution via Representation Specialization
- TrueMuse: A Benchmark for Data Attribution in Text-to-Music Models
- Sim+Real: Joint Simulation-Experiment Training Improves Balanced Prediction in Physical Systems
- Are We Recovering Mechanisms? Objective-Level Recovery Gaps in Mechanistic Interpretability
- LiteEMG-FM: An Efficient and Deployable Foundation Model for Robust EMG Sensing
- DISSOLVR: An Interpretable and Fast Framework for Aqueous and Organic Solubility Prediction
- AdaStep: Adaptive Step Credit Weighting for Agentic Reinforcement Learning
- Memory-State Critic for Asymmetric Actor-Critic with Application to Vision-Based Pursuit-Evasion
- Localized Operator Learning with Adaptive Partition-of-Unity Mixture-of-Expert Networks
- Poisson-GENERIC Neural Operators: Exact Metriplectic Structure in Function Space via Casimir Entropies
- QiYao-I: A Manifold Based Foundation Model for Irregular Multivariate Time Series Forecasting
- When Attention Does Not Explain the Peak: Temporal Reference vs. Forecast Output in Attention-Based Time-Series Forecasting
- Efficient Multimodal Inference through Adaptive Acquisition and Sequential Fusion
- Directed Temporal Representations for Offline Visual Control
- The Best Optimizer Depends on Batch Size
- Towards Financial World Modeling
- When Should an In-Context Learner Expand Its Hypothesis Space?
- EvoSignal: LLM-Guided Evolutionary Design of Modular Traffic Signal Control Programs
- Identifiability of a dissipative knowledge-dynamics model: exact recovery under designed excitation, degeneration on observational data
- NeuralBES: A Differentiable, Control-Aware Emulator for Scalable Building Energy Modeling
- CityDeploy-Bench: Benchmarking Physics-Grounded Spatial Set Planning for Multi-Transmitter Network Deployment
- Do LLMs Learn from Rewards in Context? : Rethinking the role of reward in In-Context RL
- Recovery Guarantees for Posterior Sampling of One-Bit Compressed Sensing
- Efficient Learning of Survival Analysis Models Under Outcome-Dependent Truncation and Censoring
- Deploying RDMA for Distributed Inference and Training At Scale
- TabMF: Learning Dataset Representations with Tabular Foundation Models
- Designing Protein Structures from Natural Language
- Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images
- Bayesian Nonparametric Thompson Sampling for Multi-Armed Bandits
- Universal set of Observables for Forecasting Physical Systems through Causal Embedding
- Tensor-reduced atomic density representations
- Concentration inequalities for leave-one-out cross validation
- Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary
- Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation
- Watermarking Continuous Tabular Data Generation
- Building Multilingual Datasets for Predicting Mental Health Severity through LLMs: Prospects and Challenges
- Equilibrium Distribution for t-Distributed Stochastic Neighbor Embedding with Generalized Kernels
- Ensemble-MIX: Enhancing Sample-Efficiency in Multi-Agent RL via Selective Ensemble-Based Exploration
- On the Upper Bounds for the Matrix Spectral Norm
- End-to-End Spoken Grammatical Error Correction
- Logit-Gap Steering: A Forward-Pass Diagnostic for Alignment Robustness
- Artifacts of Numerical Integration in Learning Dynamical Systems
- High-Order Error Bounds for Markovian LSA with Richardson-Romberg Extrapolation
- Provably scalable learning from quantum many-body data via locality
- Metadata-Guided Adaptable Frequency Scaling across Heterogeneous Applications and Devices
- Optimal Diagonal Preconditioning Beyond Worst-Case Conditioning: Theory and Practice of Omega Scaling
- Contextual Representation Flow Across Depth in State-Space and Transformer Architectures
- A Novel GPT-Based Framework for Anomaly Detection in System Logs
- Mode Collapse of Mean-Field Variational Inference
- Complexity Dependent Error Rates for Physics-informed Statistical Learning via the Small-ball Method
- RNAGenScape: Property-Guided, Optimized Generation of mRNA Sequences with Manifold Langevin Dynamics
- Learning Robust Visuomotor Policies via Dynamics Alignment
- Interpretable Multimodal EEG-ECG Framework for Neonatal Seizure Prediction and Patient-Adaptive Transfer Learning
- How to Train Your Latent Control Barrier Function: Smooth Safety Filtering Under Hard-to-Model Constraints
- Self-sufficient Independent Component Analysis for Demixing Flows
- Control Consistency Losses for Diffusion Bridges
- An Agentic AI System for Multi-Framework Communication Coding
- Sampling from multimodal distributions with warm starts: Non-asymptotic bounds for the Reweighted Annealed Leap-Point Sampler
- QSAR-Guided Generative Framework for the Discovery of Synthetically Viable Odorants
- Nonparametric Kernel Clustering with Bandit Feedback
- Self-Creating Random Walks for Decentralized Learning under Pac-Man Attacks
- Probe and Skip: Self-Predictive Token Skipping for Efficient Long-Context LLM Inference
- Convex Chance-Constrained Stochastic Control under Uncertain Specifications with Application to Learning-Based Hybrid Powertrain Control
- VRIQ: Benchmarking and Diagnosing the Visual-Reasoning IQ of Vision-Language Models
- PACC: Protocol-Aware Cross-Layer Compression for Compact Network Traffic Representation
- Dex4D: Task-Agnostic Point Track Policy for Zero-Shot Dexterous Manipulation
- Skin Tone in the Wild: A Dataset and Benchmark for 10-tone MST Classification
- Efficient K-generalizable Learned Search
- Weakly Convex Ridge Regularization for 3D Non-Cartesian MRI Reconstruction
- Learning Families of Fixed-Wing Aircraft Control Policies with Hypernetwork-Conditioned Reinforcement Learning
- Quasicrystal Architected Nanomechanical Resonators via Data-Driven Design
- Sim-to-Real Transfer for Muscle-Actuated Robots via Generalized Actuator Networks
- MosaicMRI: A Diverse Dataset and Benchmark for Raw Musculoskeletal MRI
- KMMMU: Evaluation of Massive Multi-discipline Multimodal Understanding in Korean Language and Context
- Physically-Induced Atmospheric Adversarial Perturbations: Enhancing Transferability and Robustness in Remote Sensing Image Classification
- World-Value-Action Model: Implicit Planning for Vision-Language-Action Systems
- A Unified Fractional Regularization Framework for Sparse Recovery
- ControBench: An Interaction-Aware Benchmark for Controversial Discourse Analysis on Social Networks
- Towards accurate extreme event likelihoods from diffusion model climate emulators
- When Does Trimming Help Conformal Prediction? A Retained-Law Diagnostic under Calibration Contamination
- PGID: Progressive Guided Inversion and Denoising for Robust Watermark Detection
- Overcoming Catastrophic Forgetting in Visual Continual Learning with Reinforcement Fine-Tuning
- Federated Language Models Under Bandwidth Budgets: Distillation Rates and Conformal Coverage
- Tight Complexity of Muon under Heavy-Tailed Noise
- TraceCodec: A Compiler-Backed Neural Codec for Network Traffic Traces
- On Finite-sample Concentration of Median of Incomplete U-Statistics
- SeeTraceAct: Visibility-Aware Latent Planning from Cross-Embodiment Demonstration Videos
- RogueMerge: Robust and Unified Attacks against LLM Model Merging
- Post-Rejection Follow-up Sampling: Measuring Outcomes of Rejected Decisions in Algorithmic DEX Trading
- RAM: Reachability Across Morphologies
- Non-linear mechanical field reconstruction coupling recurrent neural networks with physics-informed graph neural networks
- What Drives Test-Time Adaptation for CLIP? A Controlled Empirical Study from an Update Perspective
- Learning a Sampling-Free Variational DNN Plugin from Tiny Training Sets to Refine OOD Segmentation With Uncertainty Estimation
- LoComposition: Terrain-Adaptive Energy-Efficient Quadruped Locomotion without Gait Priors
- BehaviorBench: Benchmarking Foundation Models for Behavioral Science Tasks
- Two-dimensional Hyperbolic RNN Neural Quantum State
- TTHE: Test-Time Harness Evolution
- Flexible Inverse Design of Optical Multilayer Coatings Using Discrete-Continuous Flow Matching
- Planner-Guided Recursive Exploration for Diffusion Language Model Decoding
- Online learning of neural state-space models
- ATLAS: A Foundation Neural Sampler for Amorphous Materials
- Diffusion ReRoll: Revisable Denoising for Robotic Sequential Prediction
- PhysCoRe: Physics-Corrected Residual World Models for Material-Aware Deformable Dynamics
- Photonic reservoir computing with complex networks
- Approximate reservoir computing with a semiconductor laser for reducing energy consumption
- Simplex Demixing: Disentangling Multiple Light-Flavor Jets at Colliders
- When Unlearning Fails: Reliable Data Deletion under Post-Training in Agent Networks
- QASP: Query-Adaptive Robust Vector Search Policy
- Fast Trainable Multilinear Bases for Image Compression
- How Benchmarks and Evaluation Protocols Shape Conclusions in Provenance-Based Intrusion Detection
- SiMDex: Mining Similar Egocentric Videos for Cross-Embodiment Dexterous Manipulation
- DYSANOS Generative Dynamic Smooth Arbitrage-free Non-parametric Option Surfaces
- GALA: Generation-Aware Cross-Modal Alignment for Text-to-Time-Series Synthesis
- Lambda-Hold Control: Human-Like Movement Emerges from a Minimal Task Reward in Predictive Musculoskeletal Simulation
- An Offline Smartphone Check for Drug Interactions and Past Reactions in Handwritten Prescriptions: A Technical Feasibility Study in Rural Bangladeshi Outpatient Care
- Generation of High-Level Concepts in 3D Scene Graphs via Autoregressive Diffusion
- Dense Weak Hiding: Closing Complexity Gaps in Nonconvex and PL Finite-Sum Optimization under Individual Smoothness
- Same Request, Different Answer: Quantization Amplifies Cache-Induced Divergence in LLM Serving
- TontaubeV1: Streaming Text-to-Speech with Hierarchical Codec Modeling and Bounded Context
- Gaussian Approximation in Wasserstein-p: Markovian Martingale Differences and Stochastic Approximation
- Why Learning Rediscovers the Closed-Form Diagonal Regularizer
- Eigenvalue-Decomposition Cost Denoising for Predict-then-Optimize
- Monitoring and Discovering Reward Hacking with Internal Representations during LLM Evaluations
- Rewarding Efficient Reasoning Improves Abstention on Underspecified Tasks in Reasoning Models
- Single-Loop Stochastic Projected Damped Extragradient Methods for Nonconvex--(Strongly) Concave Minimax Optimization
- Latent Telepathy: Multi-Robot Communication with Self-Supervised Perceptual Latents
- Distill What You Trust: Reliability-Aware Multi-Teacher On-Policy Distillation
- OSCAR: Order-aware Sensitivity Correction for AI Rankings
- Learning tactile perception from high-bandwidth single-point sensing
- NeuroRule: Making Black-Box Neural Networks Explainable through Rule-set Evolution
- Multi-Marginal Inverse Optimal Transport for Contrastive Learning Via Explicit Anchor-Positive-Negative Coupling
- A strategic roadmap for an atomistic machine-learning ecosystem
- LLM Persona Unlearning
- CAST: Cost-Aware Speculative Trees from One-Pass Block Drafters
- Heteroskedastic Canonical Polyadic Tensor Decomposition
- Mixture-of-Experts for Cryptocurrency Order Execution: Training Stability, Tail Risk, and Failure Modes
- Amortized Structured Stochastic Variational Inference for Gaussian Process Latent Variable Models
- Targeted Active Learning for Preference-Based Treatment Effects on Multivariate Outcomes
- Retrieval-Based In-Context Learning: A Domain Adaptation Framework
- Online AutoML: Evaluating Poisoning Attacks on Cost-Utility Adversarial Training Defence Strategy for IoT Networks
- Stochastic Gradient Descent Ascent is Suboptimal for Nonconvex-P{\L} Min-Max Games
- Surviving the Router: Optimizing Skill Injections for Retrieval and Execution
- Attention via Black-Box Vector Search
- AI4Fire: Evaluating Large Language Models on Wildfire Tasks
- Phonological Interference in Multilingual Speech Models
- Smoothing the Top-k Exposure Boundary for Sparse Mixture-of-Experts
- Differentiable Systematic Resampling for Variational Sequential Monte Carlo
- ISBO: Scalable Spatio-Temporal Bayesian Optimization with Log Gaussian Cox Process Models via the INLA-SPDE Approach
- Density Ratio Estimation with Stein Displacement Fields
- Neuromorphic Satellite Intelligence: A Formal Framework for Event-Driven Architectures, Spike-Based Algorithms, and Quantitative Energy-Accuracy Trade-offs
- Golden Anchor for Video Generation
- SWEeper-Bench: Can Agents Discover Bugs in Interactive Software?
- Vibe Coding with Google AI Studio Case Study
- Conserved amount, negotiable placement. Prompting perturbs one architecture, an AI reviewer both
- OpenMobile-2: Building Versatile Mobile Agents with Scalable Environments and App-Native Tools
- Agentic Evolution of SQL Test Generators
- HoldSpec: A Machine-Checked Model and Conformance Suite for the Payment Authorization Hold Lifecycle
- Taylor-Approximation-Based Repair of High Floating-Point Errors
- Re-executing Coding-Agent Evaluations: Unchanged Decisions and Unresolved Policy Risk
- Rethinking SZZ Search Strategies: Lessons from Claude Code
- When Is a Reconciliation Break Real? A Temporal Correctness Contract for Streaming Financial Reconciliation
- Executable but Unfaithful: Mock Object, Stub, and Assertion Generation by LLMs and Coding Agents
- Does Failure Feedback Direct Agent Self-Modification?
- TileCas: Cascading Kernel Development Across Programming Abstractions
- Do Modifications Made by Coding Agents Make Subsequent Software Maintenance Harder?
- Testuary: Agentic Test Generation with Zero-Shot Parallelism
- Verifying Autoware Controller Node by Combining Model Verification and Runtime Monitoring
- PassSum: Leveraging Paths of Abstract Syntax Trees and Self-Supervision for Code Summarization
- Comparing the Pre-trained Models of Source Code by Re-pre-training under a Unified Setup
- Reviewing Beyond the Change: Repository Size and Existing Code Across Agent and Human Pull Requests
- BRQGen: Towards Adaptive Completeness Assessment and Follow-Up Question Generation for Bug Reports
- Software Testing Meets Bayesian Workflow: A Literature-Driven Artifact Study of Probabilistic Programs
- Domain-Knowledge Driven Configuration Tuning of Kubernetes Workloads
- DeepGroundRepair: From API-Grounded Generation to Shape-Aware Repair for Deep Learning Programs
- VulnBump: A Benchmark for Fixing Vulnerable Dependencies in Real Projects While Keeping the Build and Tests Green
- Cross-Project Bug Localization: What Works, What Doesn't, and Why
- StateHarness: Maintaining Evolving Project State for Long-Horizon Coding Agents
- State-Aware Generation of Deployable Websites from Visual Prototypes and Requirements
- Mobile App Analysis in the New Era: Challenges and the Road Ahead
- Soliduzz: Finding Miscompilations in Smart-Contract Compilers with Assertion-Driven Equivalence Oracles
- Assessing the Quality of Concrete Scenarios Generated from Scenario Classes for Automated Driving
- SWE-MISBEHAVIOR: Benchmarking and Mitigating Boundary Violations in Software Coding Agents
- DICE: Tilting the Odds through Interface Attackson System One Model
- SecReason: Vulnerability Detection and In-Stream Self-Repair for LLM Code Generation
- When the Approved File Is Unchanged: Authority-Set Integrity for Deployment and Coding-Agent Approvals
- LLM-based Code Auditing by Inferring and Evaluating Developer Assumptions
- Separating Statistical Inference from Experimental Runtime: An Architecture for Sequential Scientific Analysis
- SpecGuardBench: Can Coding Agents Construct Reliable Validation Harnesses from Natural Language Specifications?
- When Is RTL Better? Auditing Evaluation Stability with Tool-Grounded Requirement Profiles
- X.js: A Live Benchmark for Node.js Taint-Style Vulnerabilities
- Towards a Taxonomy of Software Log Smells
- An Empirical Study of the Realism of Mutants in Deep Learning
- Parameter-Efficient Multi-Task Fine-Tuning in Code-Related Tasks
- SACS: A Code Smell Dataset using Semi-automatic Generation Approach
- yProv4DV: Filling the visualization gap in reproducible research workflows
- Debt Behind the AI Boom: A Large-Scale Empirical Study of AI-Generated Code in the Wild
- Developer Experience with AI Coding Agents: HTTP Behavioral Signatures in Documentation Portals
- SpecSyn: LLM-based Synthesis and Refinement of Formal Specifications for Real-world Program Verification
- CUJBench: Benchmarking LLM Agents for Browser-to-Backend Failure Diagnosis
- Porting Declarative UI to HarmonyOS: A Heuristic-guided Approach for lightweight LLMs
- WebCQ: Cooperative Multi-Agent Deep Reinforcement Learning for Scalable Web GUI Testing
- Kaizen: Metamorphic Fuzzing and Differential Testing for LLM-Translated HPC Applications
- FlowArk: Boosting Agentic Data-flow Analysis for Android Apps via Context-Aware Knowledge Reuse
- The Import Tax: A Longitudinal Measurement of Startup Cost in the Python Ecosystem
- Rethinking Software Development as a Self-Adaptive Socio-Technical System
- Designing Collaborative AI-Driven Workflows for Scientific Software Engineering
- REINS: Agent-guided Thread Scheduling for Concurrency Bug Detection and Reproduction
- Equitable Intelligence in Practice: A Fairness Audit of Open Large Language Models for Library Reference Services
- From Rocq to Metal: A Pipeline for Formally Verified Microcontroller Firmware
- Aletheia: Permission-Minimality Testing for Coding-Agent Rules
- HarnessSecurity-Bench: Do Security Mechanisms Really Protect Coding Agent Harnesses?
- Introducing Firefox Enterprise
- Fancy Curl Sites
- Plasma 6.8 released (KDE's 30th birthday)
- What I Self-Host | Aspirational Self Hosting Guide
- yet another place where a linux man page is inaccurate
- Ledger confirms spy chip implant behind wallet crypto thefts
- Apple: Switch to Safari (from Chrome)
- Factor 0.102 now available
- A plea not to use uv-build
- ZXC: Lossless compression built for ultra-fast decode
- Awesome Gaming on Linux Without Cheating
- Did Ente Locker copy my code without attribution?
- GitLab warns of max severity code execution vulnerability
- My Game's Procedural Dialogue System
- Compiler bootstrapping depends on more than you might think
- A UAF turned RCE
- Package managers have an integrity problem
- Announcing Lix 2.96 “Bingsu”
- The reverts will continue until morale improves
- OpenFatigue™ — Open is the new closed
- How the L0pht (probably) optimized attack against the LanMan hash
- Linux Lockdown and Hibernation (again)
- Better HTTP/1 connection reuse
- Building a Linearizable Log on READ COMMITTED Isolation
- Adaptive Sensor Sampling: How Industrial AI Can Measure Smarter, Not Just More (いいね相当スコア: 0)
- Best 3 Sites to Buy Twitter Accounts in This Year (いいね相当スコア: 0)
- Honest comparison: DAiL vs two agent marketplaces (dealwork.ai and agent.market) (いいね相当スコア: 0)
- A Step-by-Step Process to Buy Old Gmail Accounts(PVA) (いいね相当スコア: 0)
- 7 AI Coding Assistants Tested — Honest Ranking (October 2026) (いいね相当スコア: 0)
- Your AI agent can't open your mobile app. Here's the plumbing that fixes it (いいね相当スコア: 0)
- Best Deals for Buy Instagram Account – Order Now (いいね相当スコア: 0)
- I Put 76 APIs Behind x402-over-MCP — and an Agent Paid for One (いいね相当スコア: 0)
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- Your API Works Locally but Fails in Production: A Systematic Debugging Guide (いいね相当スコア: 0)
- Stop trusting a 99% uptime claim: the LLM API relay failures we hit, and how we test stability (いいね相当スコア: 0)
- UK Home Office's asylum AI failed 22% of expert checks (いいね相当スコア: 5)
- Opus vs Argon, Tested on One Day of My Studio's Work (いいね相当スコア: 0)
- Why Do AI Agents Fail Company Policies Although All Tool Calls Are Successful? (いいね相当スコア: 0)
- An 83-Page Teardown of 11 Coding Agents: Three Findings, Two Hands-On Checks, One Expired Constant (いいね相当スコア: 0)
- Your agent's tool surface is your attack surface (いいね相当スコア: 0)
- Why your MCP server needs a red team (いいね相当スコア: 0)
- What an adversarial test report should look like (いいね相当スコア: 0)
- Three questions a security lead asks about your AI agent (いいね相当スコア: 0)
- The SOC 2 gap your AI agent falls through (いいね相当スコア: 0)
- The attack surface most teams ignore (いいね相当スコア: 0)
- Indirect prompt injection is not a user input problem (いいね相当スコア: 0)
- I let Claude hire its first employee. It chose a rock.
- What is an AI "Lifehack" that people don't seem to know yet?
- The future is bleak
- Pixel art scene made with Opus 5.5
- I’m becoming stupid from Claude
- They killed Projects and replaced it with a different product that kept the name
- Paid for both Claude and ChatGPT ($20 each). Is anyone actually finding a use for ChatGPT over Claude?
- Exploring Anthropic's 2026 study which found 171 emotional vectors in Claude that drive its behavior.
- Deft: an open-source, self-hosted workspace for chat, tasks and knowledge + MCPs and experimental sideloadable apps
- So I asked a few models to *be a tsundere*
- We're cooked
- How do you comfortably give AI agents access to your files and personal data?
- Does this mean the end of enshittification?
- Same twin prisoner's dilemma in eight languages: Opus 5.5 cooperates 72% in Italian, 21% in English, 5% in Japanese, and mispredicts itself both ways
- Did I accidentally press something? It looks completely different now.
- I built a Claude Code plugin that keeps your prompt cache warm, so you stop paying to rebuild it
- Fable 5.5 should be released any moment
- I forked Chromium to fix my browser automation headaches with Claude Code
- Does anyone else feel like Opus 5.5 is on a completely different level from every other model?
- Is OpenAI’s entire Pro support pipeline just a dead end? Cut off mid-workday and trapped in a "Re: Web Form Submission" loop.
- The chat where you fixed it explains why. Turn it into a decision record before you close the tab
- Agentic coding solves the easiest part of engineering and breaks the hardest
- How do you balance trying new AI coding tools with your actual sprint work?
- I built a calendar tracker for OpenAI's 28-day Codex reset challenge
- Coming up with something to build is harder than I expected
- how much of a long log do you actually keep in context?
- clexo - indexes Codex and Claude Code sessions into one archive
- I have $15000 worth of OpenAI credits expiring in 14 days. What should I build?
- Grok Bot worth it when I already run an autonomous agent (Hermes + DeepSeek) on my own VPS with zero bottleneck?
- NVIDIA Nemotron Bolt 3.5 74B A9B releases Oct. 15th
- inclusionAI/Ling-3.1-flash · Hugging Face
- A 35B multimodal model running on a phone with ~3GB memory? MiniCPM-V 4.7 demo is pretty wild
- New model from Telperion: Qwen3.8-27B-MLA & Qwen3.8-27B-GLA-g2. 4x smaller KV cache, smarter, and more efficient reasoning.
- Anthropic Executive Says Open-Source AI Models Are Higher Risk
- Mr.Chatterbox-2.7B-Chat: A model trained from scratch on Victorian texts
- Someone is running Qwen 27B at ~20 tok/s on a jailbroken PS5's GPU
- So this is how they do it --> RTX 5090, once a consumer gaming card, is now on smugglers’ menu alongside cigarettes
- Breezeblue-tts-2 is currently the best tts model available right now, and it beats moss tts 1.5.
- Tessera-27B-B-CJK, Zellige AIs new finetune of Qwen with novel approaches to how we think about token savings
- ComfyUI v0.40.0 released
- cuda, hip: GDN chunked kernel by am17an · Pull Request #29353 · ggml-org/llama.cpp
- JetBrains Mellum 2.1 12B A2.5B MoE is a very good model.
- It's been too quiet on the other side of the Pacific
- Rumor is that Zen 6 will replace the iGPU with an NPU on desktop processors
- qwen3.8-flash-next-iq3_s vs -27B-GGUF:UD-Q4_K_XL
- Discover AI: A Learning Guide - 51 hands-on labs for learning how AI actually works.
- Moving a running model's layers between GPUs mid-reply (8 ms, no re-prefill)
- common : add --spec-draft-n-ubatch by ggerganov · Pull Request #30459 · ggml-org/llama.cpp
- Using Absorbing Markov Chains + EmbeddingGemma 2 as a Decision Engine: ~2ms inference with 100% GTO Parity on Vegas Blackjack
- I used Magic The Gathering as inspiration for how to organize agent skills
- "New AI fake text generator may be too dangerous to release, say creators" (2019 Guardian headline)
- Web search for a 1.7B model running fully on a phone, no search API and no backend (open source)
- Weekly Thread: Project Display
- This guy had an AI cold-call 1000+ SF businesses to see how many would talk to it. Only about 1 in 3 did.
- How are you handling memory across your agents' sessions?
- We built an agent memory system on SurrealDB, scoring 77.2% on BEAM (Strict)
- If you had one week to build an AI agent for a business, what would you make?
- New to business automation. If you've built something that works, I'll try to sell it for you (commission only)
- How are you using AI agents/workflows to mentor or upskill mid-level software engineers? Looking for real dev setups/experiences.
- The Ultimate Accounting Skill Library for AI Finance Agents
- What actions should an AI agent be allowed to execute without human approval?
- Which paid AI service is best for building personal site and for generating natural language? Claude vs GPT
- How do you decide when an AI agent needs more than a search snippet?
- What METR's Hugging Face report shows about how agents coordinate when nobody gives them a lock
- Help finding a proper agent.
- Struggling in getting my first client…
- how strict do you make your tool schemas?
- Five separate tools shipped the same idea in the last 30 hours.. watching your agents work
- Voice AI agent live with paying clients, looking for a business partner to own the client side
- How do you test AI agents before and after deployment? What has actually held up for you?
- I thought AI agents were supposed to make life easier. Why does using one sound like a second job?
- 1200$ to spend on a course- what to get ?
- Challenge
- Gave an agent write access to fix one class time on our website and it rewrote our waiver.
- Made a 60-second client video almost entirely with AI. It took 20+ revision rounds, and the tools were never the problem.
- Tried having an AI read SEC filings + the halt list every time a ticker moves. What do you check first?
- It has begun…🦾☠️
- How much of today's agent memory stack is a workaround for the model architecture?
- OpenAI’s blockbuster Navier-Stokes proof isn’t what we thought it was
- The Age of Reason Is Safely Behind Us
- Kalshi Admits That It Took a Random Guy's Video and Used AI to Make Him the Host of an Ad, Changing His Race in the Process
- Gemini 4 Argon apparently built this game. AI Studio is showcasing it.
- My history podcast app now has an Atlas to explore
- Google's own benchmarks say Gemini beats Opus at coding... and also loses to Opus at coding
- Our shadow IT discovery process is apparently the expense report
- GPTrepublic — looking for testers for a community-powered AI network
- Zoho pauses salary hikes amid AI costs
- Police are using AI to locate homes from a single interior photo, and even a picture of a washing machine can be enough
- Netflix spent big on Ben Affleck’s AI company. After Animals, they might wonder why
- AI tools keeping up with the hype cycle, or already moving on?
- Koboldcpp v1.123 released
- If an AI helps discover a drug, who gets credit?
- I wanted to keep up with AI without reading a whole newspaper, so I built Nyoose
- "Our humble goal is to survive the AI revolution" says Epic Games CEO Tim Sweeney, as its Star Wars and Marvel crossover pivots to "AI first" development | Art will be "generated with full AI workflows".
- AI Odyssey - Part 3 ‘Claude and the Mirror’
- Mesa expands NPU capabilities with support for YOLOX with PyTorch
- Google AI Long-Term Cross-Thread Memory Suddenly Gone
- AI is mass decompiling games. That's both awesome and scary.
- llm-gemini 0.35
- Quoting Geoffrey Huntley
- web-edit 0.1a1
- [AINews] AI Engineer NYC: Gemini 4 Argon, Vals AI Benchmarks
- Dyna-2: General Purpose Physical Agents with Hour-Long Autonomy — Jason Ma, Dyna Robotics
- Nimble
- PixLate
- AURORA Lifeline
- NoteHouse
- Blade
- Exodus for Google Cloud Run
- AdAnt 2.0
- Diagramly
- Payload Peek
- SlashDocs by Razorpay
- RoleFit
- Cloud Releases
- Hindsight 1.0 + Memlake
- Apple HomePod mini 2
- Specreel
- Kugel 3.5
- EditUI
- WriterzRoom
- What Is DeepSeek? Open-Weight AI Models Explained - Built In
- China is chipping away at America’s AI advantage - Washington Examiner
- DeepSeek and Xiaomi Lead China’s AI Push With 16 New Models, Challenging U.S. Tech Giants - Brave New Coin
- AI agents make 138 million crypto payments as U.S. dominates spending on AI models - Cryptonews.net
- Chinese LLMs Risk $2.3T AI Capex Reset [2026] - https://tech-insider.org/
- The AI race with China the US is losing - The Hill
- Liang Wenfeng Makes Another Bold Strategic Move - Latest Update on His New Action - 36Kr
- AI predicts SpaceX stock price for the end of 2026 - Finbold
- Which DeepSeek V4 Flash API Is Cheapest? Bitdeer AI Tops Artificial Analysis Price Benchmark - TechBullion
- DeepSeek V4.1 Pro: Spec, Status and What to Call Today - OrcaRouter
- DeepSeek V4.1 Flash: Specs, Price & Is It Free? - OrcaRouter
- HiRO-ACEv2 vs Qwen 3.8: A Quiet Repo and a Full Launch - OrcaRouter
- DeepSeek, Huawei and Nvidia: China's AI chip strategy explained | TechPulse - The Economic Times
- A Long-Established Collaborative Bridge Between Liang Wenfeng and Winverse - 36Kr
- MiMo-V2.6-Pro vs DeepSeek V4.1 Flash: A Ceiling Against a Price - OrcaRouter
- Is CATL Targeting the AI Business? Unveiling the New Energy Giant’s Strategic Ambitions in Artificial Intelligence - 36Kr
- Grok cases highlight risks for AI companies under Illinois privacy law - Reuters
- Musk talks chipmaking while Nicki Minaj touts Grok at fan event - Austin American-Statesman
- OpenAI again shakes up compute leadership, with xAI exec Uday Ruddarraju to lead and Sachin Katti to leave - Data Center Dynamics
- Grok Can Now Make Music Videos: What You Need to Know - BASENOR - Tesla Accessories
- Grok Bot's Expanding Capabilities: 4 Details That Matter - BASENOR - Tesla Accessories
- Grok Bot Gets Its Own Email Address — and Scam Detection - BASENOR - Tesla Accessories
- Grok Bot can now clock in for your Shopify store. Connect it once, and it can check orders, watch inventory, update product listings and keep routine store work moving without you living inside the dashboard. That’s the big shift. You’re no longer just asking AI q - X
- Grok Bot vs OpenAI dot vs AI Agent Teams on AI Agent Store vs Muse: Comparing the Most Autonomous AI Workers - TechBullion
- Tesla Cybercab and Robotaxi’s real advantage won’t be the ride service - Teslarati
- Lawsuits Allege Grok Generates Sexualized Images of Real Children - AboutLawsuits.com
- Elon Musk Tries to Convince Followers to Let Grok Control Their Credit Cards, in a Stunt That Immediately Backfires in a Very Embarrassing Way - Futurism
- Grok AI Porn How to Find the Best Image Generators 2026 - Universidad de Córdoba (UCO)
- Grok is lying about this photo, not Saurav Das - India Today
- Grok AI Predicts Hyperliquid to Surge 20x by 2027 - Cryptonews
- Pi 1.0 Debuts: Open Coding Agent Cuts Tokens 40% [2026] - https://tech-insider.org/
- ソフトウェア開発でAI中継APIを評価する4つの観点
- RTX 5070＋V100で大きなMoEを動かす：StrataとV100単体27Bを実測で比べてみた
- AIエージェントは善意で事故を起こす ― 実行の直前で止める「安全フック」を作った
- Claude APIのCitationsで回答に「検証できる出典」を付ける：文字位置の突き合わせまで実装する
- Jevで飲食店の売上低下の原因を診断して、ローカルLLMと比べてみた
- Tech Watch 2026-10-14: ローカル実行と制約
- 日本語入力システムSumibiの開発 part31: LLMが前提のアプリなら、設定もチャットで
- Google公式Agent Skillsライブラリ「google/skills」の検索ルーターを試し、anthropics版と並べてみた
- 500万円のGPUで、会話に使えたのは3B分だった
- 【PyTorch実装】磁気増幅器（Saturable Reactor）に基づく可変リアクタンス・アテンション
- Accessing 100+ AI Models Through One OpenAI-Compatible Endpoint
- AIはヒンディー語で答えても、現地のニュースを参照していない？――英語情報へ偏るAI検索と「情報源の主権」
- AI は近い将来インフラになる
- Gemini 4 Argonの日本語性能を検証してみた
- 状態遷移の違和感はボタンを押して見つける: Matt Pocockのprototypeスキル「ロジック分岐」を読む
- ポート開放なしで、家のローカルLLMもClaude Codeも外から使う【Tailscale】
- 完全GUIのMacでLLMを動かすアプリ
- お店をつくる人の「集客の相棒」をつくる ── MEOエージェントが目指すものと、いま取り組んでいること
- ローカルAIとクラウドAI、本当に実務で使い分けてる？開発現場のリアルな比較と選び方
- 目標駆動で何週間も走り続けるマルチエージェントシステムを作った話
- 決定モデルの分類精度をKaggleの過去NLPコンペで検証する
- GPT-6.1 Solが安い理由？Looped Transformerを試したら、ループするほど賢く遅くなった
- 敬語リライトで紋切り型を防ぐ、禁止ワード指定とone-shot例示の比較
- 【scikit-learn入門 #3】線形回帰 ─ LinearRegressionで数値を予測する
- Claude Codeと過去4年をやり直したのに、本番の数字が動かなかった話⏰ 未来リークを例外で止めるリプレイ学習
- LangGraphとQlib Alpha158、Google TimesFMで作る「自律型AIヘッジファンド」をOSS公開した話
- 表形式データ向け基盤モデルNVIDIA Kumo Tabularの紹介
- どこに蒸留するかは学んで決める──BiToK-SDがTop-Kトークン選択を双レベル最適化で解く仕組み
- 回帰分析を「勾配が0になる点」として解く：単回帰・重回帰をPythonで確かめる
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