AI News Digest 2026-10-07
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- Le Chonk Unleashed: Why Mistral’s 1‑Trillion‑Parameter Model Is Shattering LLM Benchmarks (いいね相当スコア: 0)
- Reflection's Beam becomes the most capable open-weight model built outside China
- CATL and Tencent back Deepseek's ballooning funding round as the AI startup eyes a 2027 IPO
- Moonshot AI eyes Hong Kong IPO in early 2027 after a $50bn valuation - Euronews.com
- US lead in AI over China narrows after DeepSeek gains, Bloomberg Intelligence says - The Straits Times
- Wikimedia confirms OpenAI's rogue AI agents edited wikis, tried to compromise tools, and hammered its infrastructure
- OpenAI Started Watermarking ChatGPT Text. Build a Tiny Text Watermark in TypeScript. (いいね相当スコア: 2)
- Google is about to remove free access to Gemini Flash and Pro
- Anthropic is giving startups a free year of Claude Team and $1,000 in credits
- AIレビューエージェントに「全ファイル読み」をやめさせる。code-review-graphで文脈を82倍圧縮する実装手順 (いいね相当スコア: 0)
- Minnesota’s ban on AI ‘nudification’ paused after ruling by federal appeals court - 5 EYEWITNESS NEWS
- GPT-6 is a Better Driver than Grok & Claude But Still Ain’t Waymo - AUTO Connected Car News
- Why Did Grok Leave Jesus? AI Bot’s Surprising Answer Sparks Online Debate - Crosswalk.com
- This woman claims she was 'harassed' by this Tesla feature - caradvice.com.au
- CIP, Grok Ventures Back U.S.-Based Antora Energy’s Massive Thermal Battery Project in Kansas - CarbonCredits.com
- Meta's Muse Privacy and Security
- Will SaaS companies repeat what the music industry did in the early 2000s?
- Anthropic Subscriptions Offer 5x+ More Value Than OpenAI
- Google DeepMind Releases EmbeddingGemma 2, a 740M Open Multimodal Embedding Model Built on Gemma 4
- Meet Together Link: A Free CLI That Runs Open Models Like Kimi K3 and GLM 5.3 Inside Claude Code, Codex, and OpenCode
- openTPU
- Polars 2.0 Release
- World's First Enhanced Geothermal Power Plant
- Nature's Recovery Capacity from Species Loss
- Gleam Compilation to Erlang Abstract Forms
- Friendship Ended with Deno, Now Node is Best Friend
- Flatten SF: Flattest Routes in San Francisco
- Dust: Pretraining Transformers Without Backpropagation
- Opus 5.5 Agents Discover Magnetic Semiconductors
- The Lamps in My House
- Expanding the Cyber Verification Program
- Advancing computer use with Ironclad
- Atlassian and OpenAI expand partnership to turn enterprise knowledge into action
- Our approach to EU text provenance rules
- Building advertising for the way people use AI
- Unlocking Earth AI’s planetary geospatial foundation models for global public health
- Open and Emergent Problems in Agentic Privacy and Security: A Contextual Angle
- What AI gets wrong and what failure teaches us
- Falcon-Emirati: When an LLM Learns the Dialect, the Culture, and the Nuance
- ReviewBench: An open benchmark for AI code review
- The keys to the Internet change on October 11. Are you ready?
- Everything we launched during Birthday Week 2026
- One year later: the power of 1.1.1.1 interns
- NTS: Authenticated Time at Meta
- Our Framework for Reviewing AI-Generated Code
- Amper Is Now the Kotlin Toolchain: Moving to the Kotlin Blog
- Java and Kotlin by IntelliJ IDEA: The LSP-Based Extension Reaches Release Candidate
- JetBrains Joins the Open Source Security Foundation
- dotInsights | October 2026
- Java Annotated Monthly – October 2026
- TeamCity 2026.2.1 and 2026.1.5 Are Out
- Discontinuing Swift Language IDE Support in the Kotlin Multiplatform Plugin
- AICR v1.0: Open, stable, and verifiable GPU cluster configuration
- Control How Your GPU Shares Work with Green Contexts
- NVIDIA AVO Reaches 100% on ARC-AGI-3, Demonstrating a Frontier-Level General-Purpose Architecture for Long-Horizon Autonomous Agents
- Connecting AI agents to enterprise knowledge
- Bringing predictive analytics to the agentic AI era
- People really hate AI, so why can’t they get enough?
- EmTech Future 2026: When AI Meets Everything
- MCP for agent-to-agent comms may be the riskiest protocol you've never heard of
- Command-line tool quickly removes Apple Intelligence from macOS 27
- AI glasses face their first major government crackdown
- Hark releases an AI personal assistant with a focus on privacy
- Mirror Particle is building a ‘world model’ of human behavior
- LibreOffice says 'no AI' is now a software feature
- Pinterest's AI now turns beauty Pins into action plans
- Get all your questions answered at TechCrunch Disrupt 2026: The full breakout session agenda revealed
- Instinct brings its AI agent to group chats, even for friends without an account
- TikTok rolls out an AI shopping assistant and one-click checkout
- Hot Girl Hotline is like 'Dear Abby' for the AI era
- HackerRank's AI interviewer offers a glimpse into what job interviews could become
- OpenAI launches visual ads that appear alongside image generation results
- Open or closed AI? How founders are choosing what to build on at TechCrunch Disrupt 2026
- Researchers are tracking a Chinese AI 'agent fleet'
- Meet the Startup Battlefield 200 judges who’ll decide the winner at TechCrunch Disrupt 2026
- The final Disrupt Stage lineup: Three days of conversations you won’t hear anywhere outside of TechCrunch Disrupt 2026
- We can’t just change the definition of ‘recording’
- Amazon Alexa Plus keeps creepily singing ‘lalala’ for minutes on end
- Gemini Call for Me might tell your mom you're running late
- This startup is issuing AI-generated acne prescriptions
- All the drama around AI's takeover of mathematics
- OpenAI PR tells journalist to ‘move on’ while asking Sam Altman about a ChatGPT user's suicide
- Sam Altman says ‘some bad things' will happen, but AI is totally worth it
- QCon London 2027 Announces 15 Tracks on Production AI, Architecture, and Engineering at Scale
- Akka Tests Spec-Driven AI Delivery Across 65 Open Source Projects
- Presentation: Building Reusable Evaluation Frameworks for Agentic AI Products
- Article: The Platform Engineering Playbook for Production LLMs
- 6 Guidelines for Governing AI
- Attempts to Keep Humans in the AI Loop May Actually Push Them Out
- AI Solves a Major Unsolved Math Problem. Not Everyone Is Happy
- Microsoft publishes Nobel economist's bearish AI forecast of just 1.5% GDP growth over a decade
- Insurers brace for millions in claims as AI agents spin out of control
- South Korea bets $3.49 billion on building a homegrown frontier AI model to rival China's best
- Researchers stretch LeCun's JEPA AI into a universal world model that works from physics to biology
- Cohere pitches North 2 as the enterprise AI control room that works with any model
- Meta and Microsoft pull back from Claude as Anthropic transforms from partner into competitor
- npmの@subql/common 5.8.3に認証情報収集のコード、導入とimportの両方で起動
- Dell、Kubernetes接続ストレージの認証欠如を修正 最大CVSS 10
- BuildKit、共有キャッシュ経由で別イメージの層をすり替える欠陥を修正
- Nuxt 4.6、サーバーAPIをNitroから分離しCLIの起動を高速化
- AWS、音声エージェント向けNova 2.5 Sonicを東京を含む4リージョンで提供
- ArtCraft、Adobe製品を置き換えるRust製クリエイティブアプリ7種をソース公開
- iPhoneをMacのLLM推論に加勢させるBackburner、長文の読み込みを最大44%高速化
- 焼肉きんぐ公式アプリに不正アクセス、会員約1079万人分の氏名・連絡先が漏えい
- 大和証券、委託先への不正アクセスで顧客約11万人分の情報漏洩の可能性
- 大阪公立大にランサムウェア攻撃 サーバー500台停止、13万人分の情報流出恐れ
- 2026年9月28日〜10月5日：公開と仕様変更が並んだ5本
- GitHub、Appの新規トークンを約520文字へ切替、検証ヘッダーは11月30日廃止
- Citrix、SAML構成のNetScalerで未認証DoSとなる欠陥を修正
- 公開GitHubに有効な認証情報が54万件超、失効の有無で残存率に差
- llama.cpp、選択肢を1回の推論で確率付き返す決定モデルに対応
- OpenAI、保護された推論の組織的抽出を阻止しKimi側を中核と分析
- Microsoft、エージェントの成否をDB終了状態で測るThinkingBoxを公開
- Reka Releases Rho-1: A 19B Omni-Reasoning Model That Understands, Generates Video and Outputs Robot Actions in One
- Beyond Domain-Specific World Models: JEPA-Anything Uses 1 Recipe for 7 Fields
- Building a Streaming Robotics Learning Pipeline Using NVIDIA Cosmos3-DROID
- Yandex Introduces Sona: A Single Generative Recommender That Replaces Entire Recommendation Cascade
- The Story of Qwen: Alibaba's AI Models From 7B to 2.4T
- Can an Open Model Do Security Research? Cantina's apex-flash-1 Solves 40 of 60 Held-Out Bug Tasks
- Training Numerical Intelligence via Auto-Diagnosis and Skill Discovery
- REACT: Physically and Chemically Consistent Reconstruction of Marine Active Tracers
- Proxy Confidence: Auditing Black-Box LLM Agents with a Surrogate's Log-Probabilities
- SGAnalog: An End-to-End Circuit Benchmark from Open-Source Silicon Tapeouts
- MLLMs Fail to Refuse when Using Tools Agentically
- Retrieval-Augmented Large Language Model Decision-Making for Autonomous Driving Guided by Chinese Philosophical Wisdom
- LatentQuant: Preserving the Policy-Facing Latent Contract under NVFP4 VAE Quantization
- ROAR: Unifying Runs across Heterogeneous AI-Driven Research Systems
- Teaching Agents to Code Reliably
- Behavioral History Outperforms Descriptions of the Person for LLM Synthetic Personas
- SkillScriptBench: Benchmarking Self-Evolution of Executable Agent Skill Packages Beyond Markdown
- Exploration-Preserving Policy Optimization
- Beyond the Parameter Monolith: Reconstructive Memories, Executable Skills, and Residual Assembly for Language Models
- A Quantitative Analysis of Graph Representation Strategies for Cyber Attack Detection
- The Reported Engagement with AI Level (REAL) Rating: A Framework for Disclosing Human-AI Collaboration
- Agent Policy-Value Audit: Separating Transition Composition from Event Selection in Financial LLM Agents
- The Cost of a Hop: Benchmarking NLIP and A2A
- Discrete Diffusion for Large Graph Generation via Structural Candidate Restriction
- Reinforcement Learning with Comparative Evidence for Social Intelligence
- Self-Propagating Misalignment in LLM Agents, and Why Auditing or Disabling Memory Is Not Enough
- Towards Safer Autonomous Driving in an Open World: A Dual-Process Approach
- The Independence Prior of SAEs Fragments Visual Concepts
- CUAWright: A Minimal Unified Interface for Digital Agents
- InvestigationWorlds: An Agentic Environment for Legal Investigation
- Auditing Pairwise Equivalence Judgments: Self-Critique Effects and Diversity Measurement in Multi-Agent Hypothesis Generation
- Agentic Cognitive Depth: Operational Criteria for Evaluating LLM Agents
- SHarP: Saliency-based Pruning of Agent Harnesses
- Language Model Activations Inhabit Privileged Error-Correcting Basins
- EvalResearchBench: Can AI Agents Design Their Own Evaluations?
- Agentic AI with Structured CoT for Enhancing AI's Spatial Intelligence: Visualization and Reasoning of Rotation
- MemLeak: Cross-User Semantic Leakage in Multi-Tenant AI Agent Memory
- Asynchronous Is Nearly Free for Evolution Strategies on Long-Horizon Agentic Tasks
- ALoDLM: Adaptively Looped Diffusion Language Models
- Fine-Tuning VLM for Enhancing AI's Spatial Intelligence: Understanding 3D and 2D Rotations
- TCMClinicalReason-Bench: Can Language Models Reason from Pathogenesis to Prescription over Real-World Clinical Cases?
- On the Steering Dimensionality of Refusal in Language Models
- Spec2Game: Can LLMs Generate Complete Playable Games from Detailed Specifications?
- CADForge: Agentic Single-View CAD Reconstruction with Explicit Geometry Reasoning
- Dense Neuro-Symbolic Reasoning in a Unified Geometry State
- VIGIL: Verifier-Informed Gated Improvement Loop for Spreadsheet Question Answering
- LMBuild: Evaluating LLM Agents for Generating Buildable and Functional Structures
- Language-Conditioned Token and Reasoning Efficiency in Large Language Models: A Paired Cross-Lingual Study Protocol
- EnvDreamer: Large-Scale Multimodal-to-Environment Generation for Embodied AI
- MOIRA: Mass-Oriented Indexing with Ragged Attention for Long-Context Decoding
- From Latent Space to Jacobian Space: Measuring, Evading, and Training Against Safety-Content Accessibility
- Bidirectional Preference Synthesis: Learning Prompt-Conditioned Preferences from Boundary Failures
- Suppressing Pressure, Amplifying Evidence: Self-Guided Attention Steering to Mitigate Sycophancy and Stubbornness
- ShadowMiner v1 - An Experience Report on Implementing and Measuring a Problem-and-Hypothesis Discovery Engine
- Functionally Equivalent or Not? Graph-Grounded Differential Surrogate Execution for Code Equivalence
- Do Tool Calls Execute as Intended? Measuring and Repairing Intent-Execution Correspondence in LLM Agents
- AgentPersonaBench: Benchmarking Persona-Driven User Simulation
- TrustMed-RL: Long-Horizon Reinforcement Learning for Evidence-Grounded Clinical Diagnosis
- TimeNet: An Extensible Unified Data Infrastructure for Next-Generation Temporal Foundation Models
- CORE-RL: Confidence-Oriented Reliability Evaluation of Black-Box Reinforcement Learning Policies
- Asking Earns Nothing: Scoring the Decision to Act in BFCL Multi-Turn
- MERCI Cards: An LLM Evaluation and Deployment Framework for High-Stakes Domains
- What Does a Harness Buy? Tokens, Mostly
- CRAFT: An Agentic Spreadsheet Form Filling System with Template Awareness
- RAGrasp: Geometry-Semantic Template Retrieval and Grasp Transfer
- Causally Fair Generation with Large Language Models
- Understanding Generative AI Use in Programming MOOCs: The Role of Course Context and Learner Characteristics
- Trinity: Self-Evolving Vision-Language Models with a Self-Verifier
- Reactivating Alignment: Defending LLMs from Jailbreaks via Intention-Aware Input-Output Matching
- Semantic Causal-Factor Inference from Aviation Incident Narratives Using A Variational Autoencoder with Cosine-Similarity-Based Reconstruction
- InferOpt: Constrained Multi-Objective Search for LLM Inference Configurations
- VCLMU: Mechanism-Centric Virtual Cell World Modeling for Perturbation Response
- ManifoldCache: Training-Free Diffusion Acceleration via Constraint Manifold Caching
- Towards Credible Agent-Based Policy Simulations: Disentangling Opportunities and Preferences in a Financial Inclusion Case Study of Egypt
- EvoCast: Reliable Autonomous Research Agents for Iterative Forecasting Architecture Evolution
- Action-Consequence Alignment for Reliable Planning and Self-Improving in Latent World Models
- Autonomous Structuring of Radiology Reports Across Modalities at Archive Scale Using an Open-Weight Large Language Model
- Decide, Ask, or Defer: Clinical LLMs under Incomplete Evidence
- Label Agreement Does Not Measure Authorization
- $\mathrm{TRIZ}^{a}$: Guiding Agent Evolution from Pattern Recognition to Solution Invention
- Recursive Improvement of a Differentiable Scientific Software Ecosystem
- Strong Helps Weak: Directional Cross-Modal Alignment Transfer in Multi-modal LLMs
- Bounds, Decompositions and Null Behaviour of KRATOS: A Mathematical Specification of a Recognition-Comparability Diagnostic
- LatentIndex: Cross-Layer Sharing with Layer-Specific Selection for Sparse Attention
- SEIS: Self-Evolving Inference Systems
- PermVLA: Factorization Order as a Regularizer for VLA Learning
- Efficient Neural Surrogates for Linear Radiation Transport on the Lattice and Hohlraum benchmarks
- A Tropical Geometry View of Forgetting: A Per-Unit Projector for Knowledge-Preserving Fine-Tuning
- MASBench: Benchmarking LLM-based Multi-Agent Collaboration under Partial Observability
- When Debate Helps: Proposal Supply and Verification-Aware Readout in Multi-Agent Reasoning
- RAGStress: A controlled benchmark for evaluating retrieval-augmented generation under knowledge-base degradation
- Penumbra: Sample-Efficient Adversarial Search for Regulatory Obligations
- Not Self-Decidable: LLMs Cannot Draw the Boundary of What an Agent Verifier Can Check
- Learning to Clarify Underspecified Intents Under Limited Interaction
- PyINE: A Framework for Scalable Elicitation and Oversight via Code Execution
- Toward a Locally Deployable Agentic Co-Scientist: Small-Model Planning for Early-Stage Drug Discovery
- Formalizing the Moral Evaluation of Speech Acts: Truthfulness, Lies and Ethical Dilemmas
- Agentic discovery of blood biomarker from distilled private health records
- Dynamic Routing as a New Dimension for Test-time Versatility of LLMs
- When Is Enough Enough in Self-Evolving LLM Systems?
- Not All Answers Are Contextually Persuadable: Inference Dynamics in Large Language Models under Contextual Influence
- Do More Modalities Always Help? A Geometric Perspective on Missing-Modality Robustness
- Pressure, Context, and Machine Self-Control: A Criminological Test of Reward Hacking in Generative AI Models
- Knowing the Store: What a Memory Backend Must Write Down Before an Agent Can Read It
- MedImageOSWorld: Benchmarking GUI Agents for Medical Image Consoles
- Agent Behavior as Code: Efficient and Robust LLM Agents with Programmatic Specifications
- DICE: Decoupling Capability from Intervention Necessity in LLM Tutoring
- MemTrace: State-Consistent Memory for Long-Horizon Coding Agents
- GitSwarm: Decentralized Compounding Inference
- From Memory to Guide: Spatio-Temporal Composer for Procedural Coding Memory
- SpecFold: Folding Multi-Branch Redundancy for Faster Speculative Decoding in Diffusion Language Models
- ForkPilot: Self-Evolving Policy for Retrospective Search in Long-Horizon Agents
- Self-Evaluating Recursive Agents
- VideoResearchAgent: Grounded Task Synthesis and Sim-to-Real RL for Open-Web Video Research
- Monitorability Disposition in Large Reasoning Models
- Are We Measuring Scientific Intelligence? Rethinking the Evaluation of AI Scientists
- Zero-Shot Time-Series Question Answering via Decoupled Perception and Reasoning
- BACAM: Behavior-Aware Continual Agent Merging for Multi-Turn Interaction
- Runtime Authorization of Self-Generated Subgoals in Long-Horizon Tool-Using AI Agents
- Do LLMs Understand Sequential Structure? A Controlled Study of Inference and Generation
- CIPO: Counterfactual Imagination Policy Optimization for Adaptive Tool Granularity Selection
- EmoRSS: Mitigating Emotion-Induced Over-Refusal in Large Language Models
- How corner is a corner case? Percentile control for highway scenario generation
- EVISKILL: Grounding Skill Evolution in Replayable Evidence
- CI-JEPA: A Counterfactual Analysis of Latent Representations in Joint-Embedding Predictive Architectures for Self-Supervised Learning
- Why, Where, How: Taxonomy-guided Error Grounding for Code Repair in NL2SQL
- SharpDraft: Accelerating Long-Context Speculative Decoding with Cardinality-Aware Query Scaling
- LexiHorizon: Stabilizing Reinforcement Learning for Long-Horizon Deep Search
- Memory Canonicalization: A Framework and Benchmark for Cross-Model Drift in Persistent LLM Memory
- AutoSciBench: Autonomous Benchmark Generation for Evaluating Scientific Agents
- R1A-PC: Physics-Guided Electromagnetic Inversion of Three-Dimensional Human Point Clouds in Complex Static Environments
- Beyond Instruction Following: Learning Grounded Skill-Following with Skill Contracts
- Memadapter: Counterfactual Adaptation Against Memory-induced Sycophancy
- A Safe Action Is Not Enough: Feasible-Future Decoding for Vision-Language-Action Policies
- CreativeFlow: A One-to-Many Analogical Relation Transfer Method for 3D Asset Generation
- AECG: Asymmetric Experience Consolidation and Governance In Multi-Agent Systems
- From Scientific Observations to Mechanisms: Benchmarking Hypothesis Generation by AI Scientists
- Image Synthesis as an Intermediate for Controllable Time Series Generation
- Safe Context Switching for Agents in the Wild: Mitigating Subspace Interference via Orthogonal Adaptation
- Look Before You Leap: Thermodynamic Arbitration of Parametric and Non-Parametric Knowledge in LLM Agents via Self-Regulating Memory Architectures
- GFGE: Unifying Explainable AI Methods through an Interpretation Framework
- Learning from imperfect teachers for low-resource acoustic generalization
- When Agent Context Goes Stale: Incoherence in Volatile Agent Context
- Fusion is the New Mutation: Bandit-Guided Evolution on Workflow Graphs
- Readable Before Actionable: Causal Tracing of Indirect Prompt Injection
- MESH-Harness: Self-Improving Agent Harnesses via Bandit-Guided Compositional Evolution
- AgentDiscover: Autonomous Discovery with Minimal Search Scaffolding
- EnGRICH: Enhancing Generative Reward Modeling with Critiques from Humans
- Learning Field Reconstruction from Incomplete Data by Globally Correcting Local Estimates
- Sibyl: An Efficient Small-large Model Collaboration Framework for Long-horizon Tasks
- MMPostTrainBench: Benchmarking Autonomous Research for Multimodal Post-Training
- CASE: Cost-Aware Stopping for Efficient Long-Video Agents
- PharmAgent: Constraint-Aware Search with Frozen Language Models for Molecular Optimization
- TeleTune: Evolving Agent Skills From Offline Telemetry
- AI Safety via Debate is Compromised by Cognitive Biases
- Hallucination Across the Reasoning Lifecycle: Interface Visibility, Causal Evidence, and Release Control in Large Reasoning Models
- Hierarchical Reinforcement Learning with Stable Temporal Abstraction for Language Model Agents
- CodeForge-MA: Execution-Verified Multi-Agent Learning with Language-Conditioned LoRA for Multilingual Code Generation
- SkillGATE: Gate-Aware Monte Carlo Tree Search for Skill Retrieval
- The Functional Structure of Post-Compression Recovery in Low-Rank LLMs
- What Does Fr\'echet Distance Measure? A Directional Decomposition
- Have I Scene This Before? Spatially Grounded Conversational Memory for Complex Queries in Egocentric Assistants
- DelegationBench: Measuring When AI Agents Should Ask Before Acting
- More Claims, Less Evidence: Bounded Verification of AI-Generated Digital Knowledge Artifacts
- LifeLong Digital Twin: A Unified Modeling Paradigm and Agent Harness for Event-Driven Lifelong Health State Trajectories
- Factoriax: A GPU-Accelerated Factorio-Style Simulator for Reinforcement Learning
- Better Retrieval, Limited Clustering Gains: A Controlled Study of Multilingual Company Entity Resolution
- DREAM: Dynamic Resolution Assignment For Multimodal Multi-agent Debate
- A Framework for Automated Multi-Source Satellite Data Analytics and LLM-Based Report Generation
- The GenAI4IDN Benchmark 3.0 - a Public Tool to Assess Generative AI Tools for the Design of Interactive Digital Narratives
- Visual Grounding Safety in Vision-Language Models
- How Should a Prompt Optimizer Spend a Tight Budget? BudgetAPO with Noise-Adaptive Evaluation
- Do Time-Series QA Systems Read the Time Series? Evidence Use and Reasoning Reliability
- Toward AI Trustworthiness: Finding Analytically Proven Forward-Invariant Sets for AI-Controlled Systems
- From Token-Max to Outcome-Max: How You Use AI Determines Its Productivity
- Second-Order Problem Solving for Recursive Self-Improvement in Formal Verification
- FreSia: Frequency-Semantic Instantiation and Alignment for Multivariate Time Series Analysis
- Mining Agent Skills from Production Traces
- Agentic-ZTA: A Multi-Agent Architecture for Autonomous Zero Trust Enforcement
- Topology-Conditioned Backdoors: Language Models That Insert Vulnerabilities When They Infer They Are in a Multi-Agent System
- A Testable Theory of Atomic Features
- DiMOS: Doob-Guided Inference-Time Multi-Objective Search for Scientific Design
- Nash Equilibrium Text: A Game-Theoretic Decoding Framework for Text Generation
- Data-Driven Personas for Survey Simulation: Insights into Simulation Alignment Across Data-Access Regimes
- Measurement-First Auditing of Agentic Leaderboards: Contamination Susceptibility, Matched-Control Re-evaluation, and Scorer Validation
- Request Order Matters: Cache-History Sensitivity in Selective KV-Cache Reuse for Rolling Agents
- MiniCorp: The Last Mile of the AI Agent Firm
- VERA: Scaling Verifiable Environments for Agentic co-Evolution
- Process Constitutions and Process Stewards: Towards the Next Generation of BPM for Agentic Organizations
- OntoInk: Interactive Ontology Visualization, Validation, and Reasoning
- Grounded Joint-Attention Other-Play for Zero-Shot Coordination
- RocketAgent: A Long-Horizon Engineering Agent for Multidisciplinary Design of Liquid-Rocket Thrust Chambers
- Benchmarking Jailbreak Guardrails for Embodied Agents
- On Impact of Loss Function on the Performance of Neural Networks in Melanoma Diagnosis
- Impact of Data Augmentation on Confidence Calibration in Melanoma Classification
- MS-Exam-Gen: Source-Grounded Benchmark Construction for Evaluating LLMs on Textual Multiple Sclerosis MRI Knowledge
- Auditable Clinical Timeline Reconstruction with Provenance-Aware Evidence Graphs
- Bridging the Evidence-to-Execution Gap:A Reflective Agent for Multi-Objective Peptide Design
- Judged Useless, Queried Anyway: Tool-Using Agents Rarely Turn Their Own Evidence Judgments into Stopping Decisions
- Copies or Sources? Measuring How LLM Aggregators Count Restated Evidence in Multi-Agent Systems
- Do Small Language Models Learn to Negotiate? A Controlled Scaling Study of RL-Trained Sellers
- AI-Decision Checkpoints for AI-Augmented Business Process Management: Framework and Educational Instantiation
- From Papers to Mechanisms: An Evidence-Grounded Knowledge Substrate for Scientific Language Models
- Evolving in Thought Space: Training a Small Model at Test Time Unlocks Better Discoveries
- DPNL: A DPLL-based Algorithm for Probabilistic Neurosymbolic Learning
- Teaching a Minimalist Machine to Discover Recursive Programs for Arithmetic
- RollPlace: Improving Macro Placement via Monte Carlo Rollout Search
- CRAFTER: Causality-based Self-adaptation for Autonomous IoT Systems
- ImproveAnyTask: An Autonomous Post-Training Harness for Iterative Model Self-Improvement
- GraphDecide: Benchmarking System One Models on Graph Tasks
- Capability-Driven Self-Evolution of Agent Memory
- CVIF: A Criticality-Driven Visual Intervention Framework for Geometric Diagram Understanding in MLLMs
- What Did the Agent Actually Do? Evidence-Grounded Oversight for Long-Horizon Agents
- From Benchmark to Bench: Can Agents Survive Real-World Drug Discovery?
- Multimodal Safety Evaluation Should Measure Controllability Beyond Classification
- Normality Constraint Learning: Adapting Foundation Models for Time Series Anomaly Detection
- AgentPrivArena: Evaluating and Auditing Real-world AI Agent Privacy
- GPlaceRL: An Open-Source Graph Reinforcement Learning Framework for Detailed Placement
- polyview: A Python package for multi-view machine learning
- You Changed Your Mind, The Model Didn't: Demystifying Intent in Multi-Turn Dialogue
- ANT: A Multi-Granularity Network Traffic Dataset and Benchmark for Agents Behavior Auditing
- Proof-Grounded Patient-Specific Clinical Explanations from Knowledge-Graph Reasoning
- Signature-Based Feature Learning for Human Activity Recognition: A Reproducible Machine Learning Study of Representation, Depth, and Model Choice
- HERA: Harness-Environment Co-Evolution for Reliable Agentic Abstention
- DGA-Muon: Decoupled Geometry-Aligned Adaptive Scaling for Muon
- Mind the Execution Gap: Action-Semantic Mismatch in World-Model Control
- The Review Lottery: Calibrating an Observational Estimator of Peer-Review Noise (ICLR 2017-2025)
- Can Agent Harnesses and Inference Engines Hear Each Other? The HEAR Protocol for Agentic LLM Serving
- FREA: A Multi-Source Expert Benchmark for Reaction Feasibility Verification
- Collective intelligence through aggregation
- Language models can notice an impossible engineering problem yet still report it as solved
- The Pushback Paradox: A Two-Probe Diagnostic for Language Model Compliance
- Conditional Rank Allocation for Taxonomy-Aware Medical Language Model Adaptation
- Back to the Future: Rethinking EDA Infrastructure for Agentic Systems in Chip Design Verification
- TasteVal: Measuring the Experimental Research Taste of AI Systems Against Human Experts
- BiasFlow: Geometric Monitoring and Backbone Regularization for Spurious Feature Reliance
- Orchestrating Specialized Agents for Trustworthy Enterprise RAG
- AI Agent Pull Requests on GitHub: Frequency, Structure, and Merge Conflict Rates
- Using Process Mining to Generate AI Agents from Software Engineering Process Records
- Beyond Private Training: The New Landscape of AI Privacy
- Response Variability and Stability in Human Reasoning
- Efficient Analog-Initialized Latent Transport for Spatially Coherent Probabilistic Downscaling from Global to Kilometer Scales
- Logit-Aware MIMO AirComp for Distributed Mixture-of-Experts LLM Inference over Wireless Edge Networks
- LoRA Adaptation Strength in Aurora-WRF: Trade-offs in Regional Heavy-Rainfall Forecasting
- Global Evaluation of AI and NWP Precipitation Forecasts During Atmospheric River Events
- BridgeCast: Bridging Ocean Wave Forecasts to Reanalysis via Flow Matching with Exogenous Variables
- Do Motion Tokenizers for Co-Speech Gesture Generation Encode Gesture Semantics?
- OceanMind: A multi-agent AI system for ocean diagnosis
- ProsaBuddy: Assisting Mechanized Real-Time Schedulability Analysis with LLM-based Agents
- WAMJET: A Harness for World Action Model Acceleration
- From Requirements to Attack Trees: Grounded LLM Agents for Design-Time Security Review
- The Score Is Not the Structure: Brain Alignment and Cross-Lingual Transfer
- Distribution Matching Evolutionary Algorithms for Rare Event Sampling
- SYNLAT: Syntax-Aligned Text-Latent Compression for Chain-of-Thought Reasoning
- Beware EviLLM: Enabling Vulnerability Injection via Large Language Models
- Retrieval-Centric Deep Learning in Growing Nonparametric Neural Networks
- GOTT: Object-centric Dexterous Manipulation with a Reusable Cross-Embodiment Primitive
- Streaming Multi-Track Timeline Control for 3D Human Motion Generation
- A Step Towards Forgetting: Optimiser History and the Loss of Answer Mass
- An Executable Benchmark for LLM-Based HLS Repair:Design Complexity and Repair Underconstraint
- Solving VeriContest with a Lean-Backed Rust Verifier
- Selective Backpropagation for Efficient Few-Shot Class-Incremental Learning
- Slaying the Hydra: Interaction-Aware Circuit Discovery in Language Models
- MAGEFormer: Learning Metric-Consistent Representations for Anisotropic CT Segmentation
- Reward-DAgger: Robot-Gated Interactive Imitation Learning with General-Purpose Progress-Based Reward Models
- A study on human-agent teaming through spoken interaction: the impact of human individual traits and agent characteristics
- AEGIS: Differentiable Mars Climate Model with Neural Closures
- Dependable AI-Assisted Engineering: A Formal Framework for AI Participation and Assurance in Safety-Critical Workflows
- DUET: Co-Evolving Solver and Grader Agents
- Robust blind unmixing: A geometric approach to overcoming basis variation
- SEER: Self-Evolving Event Reasoning and Retrieval for Time Series Forecasting
- Agent Reliability Profiles in Financial Services
- Representational Control over Self-Report & Behavior Coherence in LLM Risk-Taking
- PB-GRPO: Learning Socially Adaptive LLM Agents from Persona-Driven Simulation with Preference-Batched GRPO
- Agentic Resource Allocation for Batch Multi-Objective Bayesian Optimization in Autonomous Materials Discovery
- Dual-Scale Relational Graph Transformers for Ecosystem-Aware Fraud Detection
- Trajectory-Derived Confidence for Reliable, Resource-Aware Clinical Text-to-SQL Agents
- How RL Reshapes LLM Reasoning: Transferability, Coverage, and Scaling Laws
- Language Model Fingerprinting Requires Rethinking Watermark Teachers
- Risk-Calibrated Proposal Transport for Finite-Particle Diffusion Steering
- Clean: Second-order LLM Training at Linear Memory Cost via Nystr\"om Sketching
- CurveCodec 2: Skeleton-agnostic animation compression with a learned entropy model
- FTD-GNO: Memory-Efficient Graph Neural Operators through Functional Tensor Decomposition of the Kernel
- Adaptive Operator Selection in Bilevel Large Neighborhood Search for Electric Autonomous Dial-a-Ride Problem under Uncertainty
- Attention-Based Surface Representation Learning for Robot State Prediction and Open-Ended Surface Classification
- Benchmarking Psychological Dynamics in Generative Agents
- Playing social deduction games with reinforcement fine-tuned large language models
- AI-Enabled Quality Assurance for Multiple-Choice Assessment Items
- Rethinking Self-Distillation for Multi-Teacher Capability Merging
- First-Order Steering: Translating Weight Adaptation into Activation Steering
- CyTReX: Explainable AI-Based Cybersecurity Threat Reasoning Framework for DER Networks
- Scaling of Wireless Foundation Models via Representation Diversity and Multi-Branch Architectures
- RRM-GPT: A Framework and Vision for Radio Resource Management Foundation Models
- Questioning the Questions: Sustaining Self-Evolution in Reasoning Models
- What to Preserve in Recursive Computation: A Local Predictive Sufficiency Principle
- GrayShield: Bit-Level Sanitization for Transformer Model Supply-Chain Security
- System One Models for Wireless Decision-Making:Applications and Performance Evaluation
- A Bird's-Eye View of Iterative Reward Design
- Human Behavior-Informed Crash Scenario Generation with Real-World Crash Priors for Autonomous Vehicle Safety Evaluation
- COPEX: Benchmarking LLM Robustness to Adversarial Context Across Model Context Protocol Layers
- GlitchPatch: Repairing Glitch Tokens in Frozen Language Models via Local Retokenization
- XTurnix: Large-Scale Self-Supervised Turn Control through Two-State Binary Decisions
- Understanding and Mitigating Hallucination Escape in Tool-Using LLM Agents
- Specific Algorithmic Interpretability of Neural Networks: A Case Study on Textures
- Maximizing $p$-Mean Social Welfare in the High-Multiplicity Setting: Few Agent Types and Few Item Types
- MaDeL: Manifold-Decomposed Feature Losses for Generative Modeling
- AgroGround: Multi-Granularity Grounded Recognition in Agriculture
- COSMOS: Soft Mechanism Mixtures with Verifiable Routing for Long-Horizon PDE Forecasting
- Video2World: Benchmarking Coding Agents for Interactive World Modeling from Embodied Videos
- Guess My Weight: Profiled Side-Channel Recovery of Floating-Point Neural-Network Weights
- Target-free Latent Safety Alignment
- Can LLM Agents Automate Reinforcement Learning for Text-to-Speech?
- Understanding Clustering in Slot Attention via Particle Dynamics
- Localization Lens for Improving Medical Vision-Language Models
- EgoExo-Next:Benchmarking Vision-Language Models on Visual-Option Next-State and Cross-View Reasoning
- Diffusion-Based Stress Testing of Overload Monitoring for Resilient Emergency Cellular Networks Using Internet CDR Proxies
- Quantifying Collusion Among Autonomous LLM Agents: A Statistical Analysis of the Collusion Wiki Incident
- Weight Decay and Neuron Condensation: A Three-Stage Analysis of Two-Layer ReLU Networks
- Cross-Modal Solar Image Synthesis: Adapting the Surya Foundation Model from He I 10830 {\AA} to EUV Translation and Coronal Hole Segmentation
- Coupling Noisy Pairwise Knowledge to the DAG Posterior for Causal Discovery
- Only Project Once: Projection-Adaptive Loss for Exact Constraint Satisfaction
- From Probe Scores to Alarm Policies: Operational Validity of Activation Monitors for Language-Model Agents
- Variational Quantum Attention for Molecular Graph Learning
- ConEx: Human-Interpretable Saliency Maps via Concept-Aware Attribution
- Policy as Data: Replay-Based Policy Dual Averaging via Advantage Regression
- GS-Codec: A Gaussian-Splatting Bottleneck for Neural Audio Coding
- RETRACE: From Entangled Repair Histories to Reusable Experience for CI Repair
- Extracting Persona Subspaces Through Iterative Nullspace Projection For Modulation
- Neurodiversity-Aware Multimodal Affective Computing for Neurodevelopmental Assessment: From Norm-Referenced Classification to Context-Sensitive Decision Support
- VoCa: Designing Speech-Canvas Interaction for Voice-Based Conversational Agents
- Organising Trajectory Evidence for Language-Model Agent Assurance: Fragments, Methods, and the Residual
- Towards Automatically Pruning Logging Code with Coding Agents: How Far Are We?
- Knossos and Ariadne: Benchmarking and Learning Complete Diagram Topology Extraction with Vision-Language Models
- Robot Learning with Visual Predicted Force
- More Value per Key: Asymmetric Sparse Attention for Faster LLM Decoding
- EasyClassifier: Honest, Reproducible Machine-Learning Classification for Researchers Who Do Not Program
- ARISE: Adaptive Agentic Reasoning with Image-grounded Self-Evaluation for Interpretable IBD Assessment
- Active-DiNTS: Active Differentiable Network Topology Search
- Separating Decision Time from Decision Quality in the Real-Time Gap of Distilled Deciders: Evidence from a Game and a Conveyor Simulator
- Viva La Vida: Verification and Accumulation Failures in Multi-Agent Proof Search
- Cluster Validation Indices as Self-Supervised Objectives for Text Representation Learning
- PIT-GCL: Protein Interaction using Topological Graph Contrastive Learning
- Invisible Ink, Visible Lies: How Production Watermarking Causes LLMs to Hallucinate
- Enhancing Long-Video VLM Embeddings with Query-Aware Streaming Latent Reasoning
- Greedy Local Learning for Language Model Pretraining: Gaps and Objective Design
- ResOPD: Tail Residualization for Sparse On-Policy Distillation
- SFlexRCA: Lightweight, Scalable, and Flexible Root Cause Analysis for IIoT Edge Systems
- A Systematic Analysis of the Predictive Power of LM Surprisal in Reading Chinese
- ScopeSAE: Model-Scope Feature Discovery with Interpretable Layer Selection
- Scaling Verifiable Environments for Long-horizon Work Agents
- Why Subliminal Learning Needs So Much Data: A Noisy Inverse View through Steering Vector Recovery
- PreAct-Nav: Agentic Reasoning Before Action for Urban Navigation
- Complex Agents, Shallow Tests: Demystifying and Enhancing Test Adequacy of Agent Harness in the Wild
- TSAE: Structured Sparse Autoencoders for Interpreting Time-Series Forecasting Models
- Assembling Insights for Agentic Machine Learning Engineering Systems
- DiVeR: Decision-Critical Verifier Learning for VLA Test-Time Scaling
- D-DOIT: Training-free Adaptation of Discrete Diffusion via Doob's h-Transform
- A Graph-Based Inspection and Intervention Tool for Assessing Mechanistic Learning in PINNs
- Software World Models: From Consequence Prediction to Decision Value
- TempoBridge: Source-Conditioned Flow Matching with Optimal Transport Couplings for Single-Cell Population Transitions
- A Unified Dynamics Framework for Reinforcement Learning and Classical Control of a Six-DOF Pipeline-Tracking ROV in NVIDIA Isaac Sim
- EDISCO: Equivariant DIScrete Diffusion for Euclidean Combinatorial Optimization
- Kapture: Capturing Cardiac Dynamics with Koopman-Governed Learning for Efficient Radar-Based Electrocardiogram Recovery
- TeleGen: Improving LLM-Based Web Application Generation via Runtime Telemetry
- Hidden Risks of Jev: An Empirical Study of Security, Privacy, and Dual Use
- Operational Abstractions of Neural Network Concepts via Topological Representations
- SparseCraft: Agentic Hardware-Software Co-Optimization for Sparse Computing
- Communication Shapes Collective Inference in Self-Adapting LLM Societies: Evidence from Mafia
- AraYoungVoices: A Diverse L1/L2 Corpus of Arabic Child and Adolescent Speech
- E$^2$-OPSD: Taming Entropy Overshoot in On-Policy Self-Distillation
- LogSig-SSM: Time-Series Modelling with Multi-Scale Log-Signature Compression for State-Space Models
- Discrete Action Matching: Learning Stochastic Dynamics from Samples via State Graphs
- Self-Generated Feedback Destabilizes Test-Time Training: A Causal Decomposition of Long-Horizon Adaptation
- Tracing a Sparse Emotion-Control Circuit in LLM-Based Text-to-Speech
- Direction-Conditioned Policies for Online Goal-Conditioned Reinforcement Learning
- ReMAP: Restoring the Perceptual Cycle with Reasoning-Time Latent Visual Memory
- VulValidate: Auditing Function-Level Vulnerability Labels with Executable Evidence
- Best-of-$N$ Guidance for Test-time Diffusion Alignment
- Bayesian Entropy-based Reordering for Calibrated Diffusion Language Models
- How Does Geometry Enter Generated Motion?
- Cross-Modal Contrastive Learning for the Retrieval of Immunotherapy-Associated Molecular Signatures from Histopathology
- Blocking at the Boundary: Auditing Long-Horizon Agents against Staged Prompt Injection
- Same Predictions, Different Harms: Causal Auditing of Patient World Models
- Vela: Scaling Vision-Language-Action Models with Adaptive Action Curve Parametrization
- EMG-GPT: Predictive Pretraining on Residual-Quantized EMG Tokens for Hand Pose Estimation
- Settling the Computational Complexity of Max-Min Allocation with Ternary Valuations
- Pythia: Toward Foundation World Models for Multimodal Time Series
- StateWise: Diagnosing and Repairing Persistent Operational State Before Agent Actions
- MGPO: Manifold-Guided Diffusion Alignment for Task-Aware Dataset Distillation
- Task-Aware Joint Pruning and Distillation for Efficient Audio Deepfake Detection
- Who Is Your Agent Serving? Provider-Side Indirect Prompt Injection in Proactive Agents
- When Verifiable Counts Depend on Wording: Auditing Wording Robustness in Instruction Following
- Revisiting Ground-Truth Synthesis from High-Speed Video: Exact Validity Conditions and an Audited Consumer Capture Corpus
- Characterizing Parallelism Strategies in LLM Inference: Fundamental Compute-Communication Trade-offs
- Grammar-Guided Code Watermarking with Green Temperature
- CoDance: Learning Reactive and Compliant Human-Humanoid Interaction from Video
- VAMPS: Visual and Motor Policies from Sampling-Based Planning
- Green-Routed Neural Operators:\\Physics Determines Where the Network Reads
- On Semi-Markov Suboptimality in Hierarchical Reinforcement Learning
- IRSTD-Agent: Agentic Infrared Small Target Detection via Zoom-Guided Interaction Learning
- Reflections and Fragments: Securing LLMs Against Sequential Mosaic Attacks
- Rethinking Tabular Foundation Models On Data Streams
- Optimal Control with Learned Critics under Unmodeled State Dependencies
- AIProver: Agentic Auto-Formalization of Mathematical Research via Certificate-Driven Evolving Harness
- AutoDP-LLM: Automating Data Pre-processing for Intrusion Detection Systems using Large Language Models
- Distributed Subliminal Learning: Replacing Model Updates with Random-Carrier Outputs
- Does Explainability Survive Data Drift?
- GNN-CB: A Graph Neural Network Competition Benchmark for Human and LLM Evaluation
- No Concept Escapes the Audit: Auditing-Aware Unlearning for Verifiable Concept Erasure in Diffusion Models
- BeliefGraph-JEPA: Structured Latent World Models for Action-Conditioned Time Series
- A Strong Baseline for Evaluating Vision Encoders in Multimodal Large Language Models
- Hierarchical Time-aware Bootstrapping for Off-Policy Subgoal Value Learning
- Human-Like Attention? A Psychophysical Comparison of Visual Search in Humans and MLLMs
- Population Scaling or Data Dilution? Dynamics of Local Topology Evolution in Decentralized Learning
- Reflecting on Creative-Boundaries with an AI Co-Doodler
- FLEX-WAM: Flexible Block-Causal World-Action Models for Long-Horizon Imagination and Planning
- What Does a Harness Repair? A Preregistered Study of Visibility, Baseline Adequacy and Evaluation Defects
- LiFT: Loop Flow Transformers
- Don't Judge an LLM Only by Its Activations: Discovering Suppressed Safety Features via Counterfactual Activation Potential
- Soft Strategy Selection for Batch-Mode Active Learning
- Cut Binary Cross Entropy: Efficient Large-Vocabulary Loss and Gradient Kernels for Sequential Recommendation
- G-CARB: Graph-Localized Conformal Agent Risk Budget for Compositional Harm
- Scenario-Based Compositional Statistical Model Checking for Safety Specifications
- Can Prosodic Style Be Inferred from Text Alone? Evidence from Unsupervised Acoustic Clusters
- What Does an Observability Foundation Model Know?
- Expanding LLM Reasoning
- AgentDoxx: Agentic Re-identification of Anonymized Text with Web Search
- When the Cross-Silo Federation Goes Offline: Continual Learning for Site Onboarding with Limited Unlabeled Data
- An LLM-in-the-loop RL Framework for Bioinformatics Feature Selection
- Your Unlearning Gives You Away: Identifying Erased Concepts in Diffusion Models
- Kandinsky 6.0 Video: Foundation Models for Synchronized Video and Audio Generation
- SEA-LM: Egocentric Spatial Audio Understanding for Wearable Microphone Arrays
- UndoBench: Separating Task Competence from Recovery Capability in Tool-Using AI Agents
- Transformer-Based Time-Series Inference of Lindblad Dynamics in Open Quantum Systems
- Knowing the Rules, Applying the Rules: Evaluating Language Models on Traditional Chinese Bazi
- Two-Sample Testing via Path-based Inference
- Nexus: An Execution Fabric for AI Agents Across Cloud, Edge, and Devices
- SimpleMark: Fast Multi-Bit Text Watermarking under f -Divergence Constraints
- Rotated, but How Far? Diagnosing and Improving Object-Rotation Reasoning in VLMs
- HLA-WM: Hybrid Linear Attention for Long-Horizon Video World Models
- CIPHER-MoE: Balancing Efficiency and Routing Fidelity in Trillion-Scale MoE Training
- Beyond Semantic Similarity: Performance and Costs of Agentic Retrieval for Complex Tasks
- Relational Synthesis: Structure-Mediated Concatenative Synthesis for Foley and Retrieval-Augmented Audio Generation
- CLARA: Can AI Assess Developmental Appropriateness in Children's Stories?
- Protocol-Sensitive Evaluation of Log Anomaly Detection: Component Costs and Target-Access Sensitivity on HDFS and BGL
- Level-of-Token Diffusion
- Who Keeps the Gains from Personal AI Assistants? Seller Adaptation and the Unassisted in a Language-Model Market Simulation
- Selecting Long-Horizon Trajectories for Reliable and Efficient Terminal-Agent Training
- CACFG: Curvature-Aware Classifier-Free Guidance and Optimal Control
- Hierarchical Reinforcement Learning for Collision-Free Locomotion of an Underactuated Biped
- Curriculum Brain: Constructing Curriculum Knowledge Graphs as a Substrate for Cognitive Diagnosis
- Imagine to Act: High-Fidelity Data Synthesis via Image Editing World Model for Scalable GUI Agent Training
- CCQ: A Multi-State Child Care Quality Dataset to Support AI for Children's Health Research
- Weave Mamba Fusion: Global Cross-Scale Interaction for Lightweight Face Detection
- Off-Policy Merging Beats On-Policy Self-Distillation for Continual Learning
- OGAM: Connecting Systematic Testing to Runtime Assurance through Object-Grounded Attention Monitoring for VLA Policies
- TasteRoute: Personalized Routing for Video Generation
- On Hyperparameter Tuning on the Test Set
- Non-invasive Seizure Detection Using Wearable Wrist-worn Accelerometry and Deep Learning
- Incentive Alignment in Online Experimentation
- UltraDub: Towards Authentic Dubbing by Unifying Visually-Steered Flow Learning and Trajectory Guidance
- ThunderSyncRL: Lossless Acceleration of Agentic Reinforcement Learning
- ReMem: Streaming Video Understanding With Long Context Retention
- Runaway Reaction: When Benign Skills Compose into Malicious Behavior
- Physics-Informed but Not Physics-Consistent: Error Geometry and Subspace Projection for Neural AC Power Flow
- HuatuoGPT-3: RL-Only Domain Adaptation from Base Models
- JLD: Perceptual Distance Through A Jacobian Lens
- Transfer-Stratified On-Policy Distillation for RL-Improved Reasoning Teachers
- EpicWorldModel: Exploration-driven Planning with Latent World Models
- AgentSpy: Making AI Agent Behavior Observable
- Parallelism or Concession? Concurrency-Aware Procurement Negotiation for Agentic Commerce
- Investigating Query-Insensitive Behavior in Spatio-Temporal Video Grounding
- Adaptive Expert Guidance for Efficient On-Policy Reinforcement Learning
- Scalable Minimal-Change Learning for Controllable Image Editing
- Differentiable Bit-Widths: Co-optimizing Pruning and Quantization via SVD for Ultra-Efficient LLM Compression
- LightMTP: Lightweight Latent Multi-Token Prediction
- MercerFlow: Flow Matching in a Kernel-Induced Latent Space for Probabilistic Forecasting
- Representation Disentanglement for Fair Chest X-Ray Diagnosis
- Backdooring Sparse Autoencoders
- Local2Mesh: Spatially Localized Contour-to-Mesh for Left Ventricular Reconstruction from Sparse 2D Cardiac MRI
- ROT: Rotating Hidden States towards Contextual Vectors for Hallucination Mitigation in LVLMs
- A Comprehensive Objective Evaluation of Modern Text-to-Speech for Turkish Using Speech Quality Assessment Models
- Vision Transformer Ensembles for Panoramic Street Segmentation
- Attention Tax, Handoff Tax: A Stylised Model of When Multi-Agent LLM Systems Help
- Do VLAs Understand and Adapt to the Objects They Handle, or Simply Replay Learned Behaviors?
- Boosting Transferable Adversarial Attacks against Deep Reinforcement Learning
- Adaptive Mean Flow for Responsive Closed-Loop Robot Control
- Cross-Lingual Transferability of Training Data Extraction Attacks to Recover Memorized PII
- On the Geometry of Multimodal Saturation: Riemannian VICReg
- Machine learning for journal entry testing: A type-aware evaluation of anomaly detectors under a review budget
- Where Did the Repair First Go Wrong? Localizing the Origins of Silent Failures in Agentic Vulnerability Repair
- Anosognosia in LLMs: Probing Self-Awareness of Quantized Computational Substrate
- Anlu: Enabling In-Context Time Series Anomaly Detection in Foundation Models via Counterfactual Supervision
- Correct Code, Broken Contributions? SWE-CC: Benchmarking Repository Policy Compliance for Coding Agents
- Cross-lingual Calibration of Pre-Generation Success Probes for Multilingual LLM Routing
- APOD: reasoning-guided agentic population ordinary differential equation discovery for pharmacological digital twins
- SO(3)-RoPE for Spherical Transformers
- Joint Class-Time Learning for Video Classification with Multi-Instance Partial-Label Learning
- Artificial Intelligence and the New Science of Culture
- Few-Shot Prototype Head Adaptation for On-Device ECG Personalization on PSoC~6
- CentriQ: Calibration-Free Quantization of Diffusion Transformers via Exact Mean Centering
- Ramp Metering Control via Hybrid State Deep Reinforcement Learning in Partially Observable Connected Vehicle Environments
- VLA-ZO: Fast Zeroth-Order Adaptation for Vision-Language-Action Models
- Future Anchored Verification and Online Recovery for World Action Models
- When Are Concept Bottleneck Model Explanations Faithful and Compact?
- GAMBIT: Learning to Plan Continuous Multi-Robot Trajectories
- DialectSentEval 2026: Arabic Dialect Sentiment Analysis and Swapping Shared Task
- Wiring Matters: Injection Topology and Initialization of Affordance Heads in Vision-Language-Action Policies
- Agentic schema-guided extraction of materials process knowledge from scientific literature
- Fine-Tuning a 3B-Parameter LLM on a Smartphone: Characterizing Sustained Training
- MeSD: Multi-Evidence Self-Distillation for VideoLLM
- Steering by Influence: Curvature Aware Data Weighting for Activation Steering
- Scaling Down the Scaling Laws: Parameter Efficiency and Compute-Optimal Training in Resource-Constrained Large Language Models
- RAISED: Self-Distillation for Robustness to Prompt Injection in LLM Agents
- Quantifying the Stability of Multi-Step Reasoning via Error Amplification
- SpatialChain: A Benchmark for Auditing Spatial Reasoning Faithfulness in VLMs
- Toward Reliable Infant Pose Estimation: A Training-Dynamics Approach to Noisy Annotation Detection
- SoK: Semantic Decision Engines in Network Control Loops
- Valid Stopping in Adaptive Generator-Verifier Loops
- Better Call Reward: Reward Hacking as Strategic Abstention in Legal Reasoning Models
- ARO: Aligned Representation learning for multi-Omics data
- Choosing an energy-efficient software architecture for building system diagnostic support
- The Assistance Dilemma: Learning to Teach via Multi-Turn Reinforcement Learning
- A Physics-Guided Transformer Framework for Electromigration Analysis in Multi-Segment Interconnects
- Latent Flow Matching for Molecular Graph Generation
- Odyssey: A Closed-Loop Benchmark for Long-Horizon Real-World Driving with Explicit Navigation Routes
- Topology-Informed Prompt-Conditioned Universal Segmentation of Uterine Structures from Ultrasound and MRI
- Harmful Content Generation in Text-to-Image Models: Capabilities and Moderation Limitations
- ArtifactArena: Evaluating Models by What They Build in the Physical World
- GCTAuto-encoder: A Cross modal Framework for Security Flaw Detection in IoT Networks
- Anatomy of LLM Sycophancy: What a Flip Rate Hides
- Symmetry and AI-assisted discovery of magic-state factories
- BrainTRACE: Tracing Longitudinal, Multimodal, and Volumetric Evidence in Brain MRI Clinical Reasoning
- Does AI Help Cyber Attackers or Defenders? Evidence from Nonpublic Vulnerabilities and Subsequent Attacks
- Mind the Accent Gap: British Accent Robustness in Speech-Driven Financial Voice Assistants
- SimForcing: Distilling Simulation Motion Priors into Real-Domain Robot World Models
- Word-Level Text Unmixing via Evidence-Preserving Ownership Routing with Language Models
- Frozen Factor or Spectral Band? Disentangling Two Choices in Low-Rank LoRA
- Large Language Model-Guided Discovery of Weight-Five Bivariate Bicycle Codes
- Differentially Private Mixing of Public Datasets Improves Private Learning
- AffordCraft: Scalable Construction of Task-Ready Simulation Assets from Single Images
- VideoTapestry: Query-Adaptive Memory Refinement for Multi-Agent Long-Video Understanding
- Closing the Context Gap: Activation Alignment for Tabular In-Context Learning
- BRANCH-MoE: Balance-Aware Tree Routing for Large Embedding Models
- BazaarBench: Delegation Safety in Decentralized C2C Marketplaces Run by LLM Agents
- Balancing Memory Pathways: Analyzing and Improving Memory Utilization in Hybrid LMs
- MatrixFormer: A Foundation Model for Matrix Completion
- IdeaLens: Detecting AI Ideas in Long-form Writing
- MC-Sparse: Deconstructing and Closing the Dense-Sparse Attention Gap in Diffusion Transformers
- Sharpen Without Search: On-Policy Distillation of Sequence-Level Power Distribution
- TAPDreamer: Transferable Adversarial Patches for World Action Models
- Paradee: Distilling Kokoro-82M into an 8M-Parameter Single-Voice Text-to-Speech Model
- Deep Learning for Sleep Heart Rate Estimation from Accelerometers: Toward Population-Scale Cardiac Insight Without Optical Sensors
- CLIFT: Conformal Self-Verification for Web Agent Training and Test-Time Scaling
- MemPilot: Orchestrating On-Demand Multimodal Memory Curation for LLM Agents
- UniSlider: Perceptually Uniform Sliders for Continuous Image Editing
- Recursive Video In-Context Learning for Agentic Robot
- Learning to Read the Contextual Tokens in Diffusion Transformers
- Base Models Can Reason By Taking a Cue From Training Data
- One Figure, Every Canvas: Editable Flowchart Relayout via Agentic Pipeline
- GFPack++: Attention-Driven Gradient Fields for Optimizing 2D Irregular Packing
- Answer Set Networks: Casting Answer Set Programming into Deep Learning
- Towards LLM Agents for Earth Observation
- OpenPhone: Mobile Agentic Foundation Models
- PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic
- An Empirical Study of On-Device Translation for Real-Time Live-Stream Chat on Mobile Devices
- Neutral Substrates: A Design Constraint for Shared Records Under Persistent Interpretive Disagreement
- When Is Enough Not Enough? Illusory Completion in Search Agents
- AI Mental Models: Learned Intuition and Deliberation in a Bounded Neural Architecture
- ReLope: From Hidden-State Probing to a Decision Module for Multimodal LLM Routing
- The Ultimate Tutorial for AI-driven Scale Development in Generative Psychometrics: Releasing AIGENIE from its Bottle
- AI Assistance Reduces Persistence and Hurts Independent Performance
- High-Precision Estimation of the State-Space Complexity of Shogi via the Monte Carlo Method
- DERM-3R: A Resource-Efficient Multimodal Agents Framework for Dermatologic Diagnosis and Treatment in Real-World Clinical Settings
- Retrieval-Augmented Generation Must Move Beyond Factual Grounding to Represent Diverse Opinions
- From Tool to Agent: How Worker Needs Reorganize Across the Agentic Roles of Workplace AI
- EnvSimBench: A Benchmark for Evaluating and Improving LLM-Based Environment Simulation
- Agentic AI Scientists Are Not Built For Autonomous Scientific Discovery
- PiCA: Pivot-Based Credit Assignment for Search Agentic Reinforcement Learning
- MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs
- An Agentic AI Framework with Large Language Models and Chain-of-Thought for UAV-Assisted Logistics Scheduling with Mobile Edge Computing
- Inference-Time Amplification of Weak Reasoning Models
- Grounded Continuation: A Linear-Time Runtime Verifier for LLM Conversations
- From Table to Cell: Attention for Better Reasoning with TABALIGN
- Nudging Beyond the Comfort Zone: Efficient Strategy-Guided Exploration for RLVR
- ECG-WM: A Physiology-Informed ECG World Model for Clinical Intervention Simulation
- Agentic Trading: When LLM Agents Meet Financial Markets
- Towards Direct Evaluation of Harness Optimizers via Priority Ranking
- Dr-CiK: A Benchmark testing Deep Research for Context-Aided Forecasting
- Plant, Persist, Trigger: Sleeper Attack on Large Language Model Agents
- MEMENTO: Leveraging Web as a Learning Signal for Low-Data Domains
- Characterizing How Complex Agentic AI Systems Handle General Tasks: A Trace-Based Simulation Study
- Beyond Objective Equivalence: Constraint Injection for LLM-Based Optimization Modeling on Vehicle Routing Problems
- Scaling Participation in Modular AI Systems
- Safety is Contextual, LLM-Judges Are Not: Navigating the Rigid Priors of Evaluators
- CIAware-Bench: Benchmarking Control Intervention Awareness Across Frontier LLMs
- SelfEvoSkill: Paired Execution Audits for Skill Revision without External Outcome Supervision
- RTSGameBench: An RTS Benchmark for Strategic Reasoning by Vision-Language Models
- Agent MechSuits: Mechanistic Subspace Safety Steering for Multi-Turn CLI Agents
- DART: Draft-Agreement Routing for Training-Free Adaptive Thinking Budgets in Hybrid Reasoning Models
- TIPS: Topological Ill-Posedness Probing and Steering in Large Language Models
- MORPH: Generative Retrieval via Diffusion Transformer with Metric-Ordered Sequence Training and Hybrid-Policy Preference Optimization
- Look-Before-Move: Narrative-Grounded World Visual Attention in Dynamic 3D Story Worlds
- Beyond Compilation: Evaluating Faithful Natural-Language-to-Lean Statement Formalization
- Mastermind: Strategy-grounded Learning for Repository-Scale Vulnerability Reproduction
- Subliminal Clocks: Latent Time Modelling in Diffusion Language Models
- AgenticPD: A Stage-Aware Agentic Framework for Closed-Loop Physical Design Optimization
- The Harness Effect: How Orchestration Design Sets the Token Economics of Enterprise Agentic AI
- Measuring Intelligence Beyond Human Scale
- Rethinking the Evaluation of Harness Evolution for Agents
- What Keeps Vision-Language Models Looking at the Image?
- Cura 1T: Healthcare Foundation Model via Recursive Self-Improvement
- A Dual-Hypothesis Reasoning Framework for LLM Guardrails
- Neuro-Symbolic Meta-Policies for Temporal Knowledge-Graph Memory under Partial Observability
- TILT: Model-Intrinsic Reward Alignment For Compositional Diffusion
- Deconstructing Off-Policy Ratios: Entropy-Normalized Trust Regions for Asynchronous Reinforcement Learning
- Towards Trustworthy Physical Intelligence: From Theory to Practice Across Life Cycle
- Dimensionality and Measurement Precision in HLE's Multiple-Choice Subset
- SKILL-KD: Contrastive Skill Distillation for LLM Agents
- RA-CAD: Learning Post-Execution Critique for State-Aware Text-to-CAD Generation
- NxN E-valuation: Hypothesis Certification via a Conformal CRT Null
- The Value of a Prompt: An LLM-Relative Kolmogorov-Complexity Approach
- CTIFoundry: An Agent-Native Corpus Scaffold for Cyber Threat Intelligence
- Hidden in the Request: Explaining Unethical LLM Compliance through Token Relevance
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- RealSWE: A Compositional Evaluation of Coding Agents under Realistic User Requests
- SEPO: Evidence-Grounded Prompt Optimization via Structural Editing
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- Schizophrenia Detection from EEG Signals: A Transformer Framework with Spectrogram Representation
- EnterpriseVal: Quantifying the Efficacy, Reliability and Value of Generative AI in the Enterprise
- When No One Owns the Judgment: Accountability Under Contribution Dissolution in Human-AI Collaboration
- SWE-Prometheus: Measuring Engineering Governance Improvements in Real-World Repositories
- AtomWorld-Mem: Memory-Restored World States for Long-Horizon Atomistic Evolution
- Dude, Where's My State? Execution Information Requirements for Stateful Agents
- FedMHAR: Federated Multimodal Human Activity Recognition using Multi-Agent Reinforcement Learning
- Robust Biomolecular Complex Design Across Protein Conformational Landscapes
- Curating Merchant-Matching Training Data with Two Confidence-Gated Local LLM Judges
- Jev in Medicine: A Benchmark Evaluation
- ReplayLens: Auditing Agents' Use of Outcomes
- PhoneCLI: From App Interfaces to Callable Commands for Mobile Agents
- Learn from the Gap: Differential-Aware Advantage Pruning with Adaptive Rollout Sampling for GRPO
- ReMem: Rethinking Perception and Memory in Long-Context Recommendation Agents
- EnterpriseBench: Benchmarking LLM Agents on Enterprise-Level Strategic Reasoning and Decision-Making
- Adam under Generalized Smoothness with Second-Moment-Type Stochastic Gradients
- Advancing Entropy-Level Credit Assignment in RLVR via Proximal Entropy Policy Optimization
- ChronoGraph: Functional 4D Scene Graphs with Vision-Language Models for Interaction Understanding and Grounded Planning
- Safety of Latent Communication in Multi-Agent Systems
- Pay for the Fault, Not the Flow: Label-Free In-Flow Multi-Agent Workflow Optimization
- PRISM: A Category-Theoretic Framework for Measuring and Refining Multimodal Analogies
- Rethinking Probability-Based Reinforcement Learning From Posterior Concentration
- RealCompanion: Benchmarking Human Understanding from Reasoning over Longitudinal Real-World Conversations
- Mitigating Social Sycophancy via Pluralistic Preference Optimization
- Geometry Meets Physics: Data-Efficient Pre-Training for Unstructured Neural PDE Solvers
- Multilingual GSM-Symbolic: What determines capability transfer across languages?
- Understanding Certified Training with Interval Bound Propagation
- PPFedIT: Towards Privacy-Preserving Federated Instruction Tuning with Few-shot Local Examples
- CHAOSMINING: Benchmarking Post-Hoc Attribution with Sparse Informative Features in High Dimensions
- Efficient Hierarchical Transformers for Representing Log Data
- HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation
- Screw Geometry Meets Bandits: Incremental Acquisition of Demonstrations to Generate Manipulation Plans
- MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation
- 1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities
- Optimizing Breast Cancer Detection in Mammograms: A Comprehensive Study of Transfer Learning, Resolution Reduction, and Multi-View Classification
- Robotic Long-Horizon Manipulation with Progressive In-Context Code Generation and Episodic Feedback
- Robotic Long-Horizon Manipulation with Bayesian Non-parametric Skill Priors
- Erased but Not Forgotten: How Backdoors Compromise Concept Erasure
- A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI
- Graph-Based Floor Separation Using Node Embeddings and Clustering of WiFi Trajectories
- Using Echo-State Networks to Reproduce Rare Events in Chaotic Systems
- Anomaly Detection and Generation with Diffusion Models: A Survey
- EduAlign: Aligning Educational LLMs for Helpfulness, Personalization, and Creativity
- OCSVM-Guided Representation Learning for Unsupervised Anomaly Detection
- Resource-Limited Joint Multimodal Sentiment Reasoning and Classification via Chain-of-Thought Enhancement and Distillation
- Enhancing Knowledge Tracing through Leakage-Free and Recency-Aware Embeddings
- ZeST: an VLM-based Zero-Shot Traversability Navigation for Unknown Environments
- COCORELI: Enforcing Execution Preconditions for Reliable Collaborative Instruction Following
- Physics-informed GNN for medium-high voltage AC power flow with edge-aware attention and line search correction operator
- PATCH: Learnable Tile-level Hybrid Sparsity for LLMs
- Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers
- Neural Bayesian Filtering
- Inverse Mixed-Integer Programming: Learning Constraints then Objective Functions
- FreshBrew: A Benchmark for Evaluating AI Agents on Java Code Migration
- Demystifying Hybrid Thinking: Can LLMs Truly Switch Between Think and No-Think?
- MCA: Modality Composition Awareness for Robust Composed Multimodal Retrieval
- A Model Can Help Itself: Reward-Free Self-Training for LLM Reasoning
- Learning Granger Causality under Latent Confounding via Intervention-Induced Heterogeneity
- User Misconceptions of LLM-Based Conversational Programming Assistants
- MedForj: An open, large-scale foundational generative prior for high-resolution 3D brain MRI
- Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities
- DeNoise: Learning Robust Graph Representations for Unsupervised Graph-Level Anomaly Detection
- ProDER: A Continual Learning Approach for Fault Classification and Localization in Evolving Smart Grids
- Scalable Decision Making for Games of Imperfect Information
- Global Optimization on Graph-Structured Data via Gaussian Processes with Spectral Representations
- Bi-objective chance-constrained evolutionary optimization for large-scale open-pit mine scheduling under geological uncertainty
- EulerESG: Automating ESG Disclosure Analysis with LLMs
- Hierarchical Decentralized Multi-Agent Coordination with Privacy-Preserving Knowledge Sharing: Extending AgentNet for Scalable Autonomous Systems
- Mixed Data Clustering Survey and Challenges
- The Universal Weight Subspace Hypothesis
- Towards Optimal Valve Prescription for Transcatheter Aortic Valve Replacement (TAVR) Surgery: A Machine Learning Approach
- Contrastive Time Series Forecasting with Anomalies
- Memory as Resonance: A Biomimetic Architecture for Infinite Context Memory on Ergodic Phonetic Manifolds
- Symphonym: Universal Phonetic Embeddings for Cross-Script Toponym Matching
- ATOD: An Evaluation Framework and Benchmark for Agentic Task-Oriented Dialogue Systems
- Vulnerability of LLMs' Stated Beliefs? LLMs Belief Resistance Check Through Strategic Persuasive Conversation Interventions
- FlashMoE: Reducing SSD I/O Bottlenecks via ML-Based Cache Replacement for Mixture-of-Experts Inference on Edge Devices
- De-occluding broadband metalens
- Routing-Aware Safety Alignment for Mixture-of-Experts Models
- VIRENA: Virtual Arena for Research, Education, and Democratic Innovation
- Same Pieces, Different Servers: A Tetris Benchmark for AI Agents as Served
- Dissecting Quantization Error: A Concentration-Alignment Perspective
- RAC: Rectified Flow Auto Coder
- Towards Robust Speech Deepfake Detection via Human-Inspired Reasoning
- COMIC: Agentic Sketch Comedy Generation
- You've Got a Golden Ticket: Improving Generative Robot Policies With A Single Noise Vector
- Multi-Agent Reinforcement Learning Counteracts Delayed CSI in Multi-Satellite Systems
- Beyond TVLA: Anderson-Darling Leakage Assessment for Neural Network Side-Channel Leakage Detection
- DeepStock: Reinforcement Learning with Policy Regularizations for Inventory Management
- WebNavigator: Global Web Navigation via Interaction Graph Retrieval
- MDKeyChunker: What Does One LLM Call per Chunk Buy for Markdown Retrieval?
- Pre-Deployment Complexity Estimation for Federated Perception Systems
- Sven: Singular Value Descent as a Computationally Efficient Natural Gradient Method
- An AI Teaching Assistant for Motion Picture Engineering
- $\pi^2$: Structure-Originated Reasoning Data Improves Long-Context Reasoning Ability of Large Language Models
- A Self-Calibrating Framework for Analog Circuit Sizing Using LLM-Derived Analytical Equations
- On the Use of Evolutionary Optimization for the Dynamic Chance Constrained Open-Pit Mine Scheduling Problem
- Evaluating a Layered Prompt-Injection Defence for the Model Context Protocol: A Record-Level Audit of Decision Conventions, Corpus Provenance and Reproducibility
- PSI-Bench: Interpretable and Clinically Meaningful Evaluation of Depression Patient Simulators
- VIDA: A Dataset for Visually Dependent Ambiguity in Multimodal Machine Translation
- Learning to Theorize the World from Observation
- Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems
- Is Escalation Worth It? On the Depth of LLM Cascades
- PLOT: Progressive Localization via Optimal Transport in Neural Causal Abstraction
- Mask2Cause: Temporal Causal Discovery Beyond Causality in Mean
- Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor's Internal States
- The Endogeneity of Miscalibration: Impossibility and Escape in Scored Reporting
- TIDES: Implicit Time-Awareness in Selective State Space Models
- NCO: A Versatile Plug-in for Handling Negative Constraints in Decoding
- When Can Digital Personas Reliably Approximate Human Survey Findings?
- Premover: Fast Vision-Language-Action Control via Early Execution During Instruction Delivery
- Large Language Models for Agentic NetOps and AIOps: Architectures, Evaluation, and Safety
- AgentLens: Revealing The Lucky Pass Problem in SWE-Agent Evaluation
- Analog RF Computing: A New Paradigm for Energy-Efficient Edge AI Over MU-MIMO Systems
- Text Knows What, Tables Know When: Clinical Timeline Reconstruction via Retrieval-Augmented Multimodal Alignment
- GraViti: Graph-Level Variational Autoencoders with Relaxed Permutation Invariance
- An Assessment of Human vs. Model Uncertainty in Soft-Label Learning and Calibration
- PopPy: Opportunistically Exploiting Parallelism in Python Agentic Workflows
- Less Back-and-Forth: A Comparative Study of Structured Prompting
- TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization
- Transcoders Trace Visual Grounding and Hallucinations in Vision-Language Models
- The TIME Machine: On The Power of Motion for Efficient Perception
- DrawVideo: Grounded and Faithful Multi-Shot Video Generation from Storyboard Keyframe Sketches
- EchoDistill: Robust Large Audio Language Models via Noisy-to-Clean Self-Distillation
- Measuring the Depth of LLM Unlearning via Activation Patching
- A Controlled Synthetic Benchmark for Educational Aspect-Based Sentiment Analysis
- Erased but Exploitable: Black-box Embedding-Aware Prompting Against Unlearned Text-to-Image Diffusion Models
- vSV-ViT: Variable-size SuperVertex Vision Transformer for Cortical Surface Learning in Alzheimer's Disease
- CiteCheck: Retrieval-Grounded Detection of LLM Citation Hallucinations in Scientific Text
- Brain-IT-VQA: From Brain Signals to Answers
- EUDAIMONIA: Evaluating Undesirable Dynamics in AI
- SWIM: Compact Environment Representation for Reinforcement Learning Human Swimming
- GEM: Geometric Erasure by Contrastive Velocity Matching in Rectified Flows
- EPIC: Efficient and Parallel Inference under CFG Constraints for Diffusion Language Models
- Low-Resource Safety Failures Are Action Failures, Not Representation Failures
- All you need to break LLMs are Black-Box, Adapting, Efficient, Transferable, Harmful, Applicable ... Attacks
- A Goal-Set Characterization of Task Composition in the Boolean Task Algebra
- Benchmarks in Leipzig
- LatentWave: JEPA Pretraining for Wireless Foundation Models
- MMBU: A Massive Multi-modal Biomedical Understanding Benchmark to Probe the Perception Capabilities of Vision-Language Models
- STREAM: Stochastic Riemannian Flow Matching with Anisotropic Decoder for Digital Histopathology Image Generation
- CultureScore: Evaluating Cultural Faithfulness in Video Generation Models
- LEAF: Growing Trees Without Branching for Speech-Aware Large Language Model Post-Training
- Decentralized Multi-Agent Systems with Shared Context
- Gefen: Optimized Stochastic Optimizer
- Machine learning modeling of hit-into-play probability and quantification of pitch sequence effects
- EG-VQA: Benchmarking Verifiable Video Question Answering with Grounded Temporal Evidence
- Narrative-UFET: Narrative Generation for Ultra-Fine Entity Typing
- Behavior Uncloning: Distilling Mode Redirection into Policy Weights without Inference-Time Steering
- Multi-Level Distributional Entropy from Flow Summary Statistics for Explainable Network Intrusion Detection
- Anchored or Drifting: What Recursive Self-Generation Reveals About Training Data
- EgoSafetyBench: A Diagnostic Egocentric Video Benchmark for Evaluating Embodied VLMs as Runtime Safety Guards
- Meta-Transfer Learning for mmWave Beam Alignment
- From Personas to Plot: Character-Grounded Multi-Agent Story Generation for Long-Form Narratives
- Office Comprehension Benchmark
- AnyGroundBench: A Multi-Domain Adaptation Benchmark for Video Grounding in VLMs
- Safe Inference-Time Alignment via Lagrangian Reward Augmentation
- Mask2Real-WM: Controllable Dexterous World Models via Segmentation Masks as a Sim-to-Real Bridge
- UI2App: Benchmarking Visual Interaction Inference in Executable Web Application Generation
- Co-LMLM: Continuous-Query Limited Memory Language Models
- Authority-Bound Governance of Heterogeneous AI Security Decisions in Telecom and IoT Networks
- Exact and Certified Data Shapley for Weighted Nearest Neighbor Regression
- PFAdapter: Hierarchical LoRA Decomposition for Personalized Federated MLLMs
- Continual Learning with Elastic Regularization and Synthetic Replay for Federated MLLM Fine-Tuning
- Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents
- CAS I: A Geometric Coding Theorem
- SLPO: Scaling Latent Reasoning via a Surrogate Policy
- Medical foundation models converge less under label supervision
- Looping Is Not Reliability: State-Bound Evidence and Typed Revision Contracts for Agentic Code Repair
- When Synthetic Users Fail: A Cross-Domain Benchmark of LLM-Simulated Human Survey Responses
- The Implementation Lottery: Auditing Idea Reliability in Automated Research
- Arm2Air: Cross-Embodiment Skeleton Transfer for 3D Relay Formation
- Cost-Effective Automated Judging of Natural-Language Mathematical Proofs
- GraRe: Grasp Candidate Re-Ranking for Frozen 6-DoF Grasp Detectors
- Training nGPT
- MemArena: An Ego-Centric Benchmark for On-Device Agentic Personal Memory Assistants at Scale
- CLEARMIND: Closed-Form Laplacian Embeddings of Arakelov-Green Resistance for Morphological Intrinsic Neuronal Distances
- Site Is Decodable Before Pretraining: Negative Controls for Probing Frozen Brain-MRI Foundation Models
- The AI Accountability Ecosystem in the Era of Language Models
- Learn What's Left, Not What's Mastered: Saturation Aware Advantage Reweighting for Multi-Reward Policy Optimization
- The Acknowledgment Point Is the System: Durable Policy-Decision Receipts for AI Audit Evidence
- Science Done on a Machine by a Machine: AI Agents in Computational Chemistry
- TRACE: Training-time Report-guided and Clinically Ordered Concept Editing
- Does Fine-Tuning Undo Activation Steering? Behavioural Recovery Without Weight-Edit Reversal
- Pointing the Way, Hiding the Destination: Practical Private Dense Retrieval at Scale
- Difference-in-Differences on a Censored Rating Scale Can Manufacture an Effect: Evidence from a Pre-Registered LLM-Judge Audit
- The Hallucination Signal Is a Mean Shift: Why Simple Probes Suffice
- CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain Adaptation
- SIR: Self-improving Red-teaming for Compute Use Agents
- Capability-Gated Language Models: Security Composes, Utility Does Not
- From Fixed Keys to Readable Schemas: Small Language Models for Vehicle Agent Function Calls
- A Measured Communication-Quality Frontier for Federated LoRA Fine-Tuning with Adaptive Phase-Switching
- Data-Free On-Policy Distillation: How Far Can We Go Without External Data?
- TriCalRAG: A Three-Strategy, Retrieval-Augmented Benchmark for On-Premise LLM-Based Root Cause Analysis in AIOps
- CSWAM: Better Causal Semantic Representations for Out-of-Distribution Generalization in World Action Models
- Beyond Outcomes: Dual-View Relational Learning for Efficient Agent Benchmarking
- Semantic Action Graph: A Shared Representation for Agent Grounding and Human Interpretation of Sports Highlights
- VidOmni-Bench: A Benchmark for Fine-Grained Video Understanding via Spatio-Temporal Event Verification across Complexity and Duration
- The Law of Stop: Interruptibility, Injunctions, and the Governance of Agentic AI
- RRSI: Regularized Recursive Self-Improvement of Agent Harnesses
- TraceVIC: Causal Reasoning over Code Evolution for Identifying Vulnerability-Inducing Commits
- Technical Manual for Toolkit for Confidence-Corpus Consistency, Corpus Absorption and Rule Learning via Fine-Tuning on a Fabricated Corpus
- Rolling-WAM: World Action Models with Rolling Imagination
- A Unified Account of Concepts and Chunks
- FLIP: Final Layer Inference-Time Probing for Vision-Language Models
- The Linear Representation Hypothesis for Vision-Language-Action Models
- Activation Flow: Manufacturing Activations for Steering
- Timestep Weighting: A Hidden Key to Effective ELBO-Based Flow-Matching RL
- ASCEND: Personal AI Agents for Autonomous Scientific Computing Across HPC Clusters and GPU Workstations
- Evaluating System One Models for Agent Security Decisions: Reliability, Calibration, and Selective Automation
- Collaborative Synthetic Data for Privacy-Preserving Financial Fraud Detection Across Organizational Silos
- Counterfactual Rollout Replay: Forkable Environments as Free Process Rewards for Software Engineering Agents
- Finite Probes Suffice: Identifiability and Universality for Weight-Space Learning
- LLMs are not stochastic parrots: Evidence for meaning-mediated abstraction from conlang-like tasks
- Calibrated to Whom? Persona and Language Effects on Cultural Values in JEV
- Distilling Diffusion Score Discrepancy for Efficient Training Data Attribution
- False Frontiers: Diagnosing and Mitigating Co-Cheating in Self-Evolving Search Agents
- UniAE-MoE: A Unified Audio Encoder via Mixture of Experts
- Wavelet Flow Matching for Time Series
- Free Everywhere, Exact on Trees: PPO's Dropped Correction Buys Sample Efficiency Under Aggressive Reuse
- CAS II: Orbits as Models: Kolmogorov's Structure Function under Symmetry
- Nous: Learning and Certifying Memory Decisions Before Source Calibration
- Four Ways to Grow a Classifier and Why One of Them Cannot Learn
- The Life Cycle of a Massive Activation: Stochastic Birth, Weight-Decay-Driven Growth, and Competitive Consolidation
- Memetic Trojans: Social Contagions as Carriers of Adversarial Payloads in Agent Networks
- PACT: End-to-End Learning of Human Pose, Contacts, and Forces from Video
- SHARPO: Segment-Level Credit Assignment for Agentic Reinforcement Learning
- RelationVGGT: Visual Geometry Transformers for 3D Spatial Relation Segmentation
- CineMR: Tool-Integrated Vision-Language Reasoning for Quantitative Cardiac MRI Assessment
- Removing spurious minima for planar features by skip connections
- Generalization Bounds for Flow-matching Generative Models for Intrinsically Low-dimensional Data
- Bayes-Sufficient Compression Is Not Enough: How Does Communication Help Multi-Agent Systems?
- Least Squares for Time Series Forecasting
- Memory-State Critic for Asymmetric Actor-Critic with Application to Vision-Based Pursuit-Evasion
- Where Does Jagged Competence Come From?
- LLM-enhanced spatio-temporal learning for grid-level docked bike sharing demand prediction
- KVE-KD: Key Visual Evidence-Guided Knowledge Distillation for Vision-Language Models
- BAT-NO: A Boundary-Condition-Aware Transformer Neural Operator for Crashworthiness Prediction of Vehicle Components
- Reinforcement Learning on the Discrete Composition Channel of a Crystal Generator: Validated Gains and Reward Hacking
- AdaEva: Accelerating LLM-Driven Algorithm Design with Adaptive Partial Evaluation
- COVER: Learning to Accept More in Selective Sleep Staging
- TreeWalker: Partial Evaluation for Grouped Tree-Ensemble Inference
- DePICT: Decision-Preserving Interface for Constrained Downstream Tasks
- Synthesizing Physics Formulae with Transformers
- Evolving LLM-Generated Features for Interpretable Classification
- One-Step Curvature Probes Miss the Fitting Operator: Retained Capacity and Terminal Null-Space Correction for Continual Learning
- Probabilistic Algorithms for Ising Machines from Optimization to Generative AI
- Learning Latent Protein Languages for Autoregressive Generation
- $\tilde{O}(\sqrt{T})$ Regret and Polylogarithmic Constraint Violation for COCO
- LD-EnFF: Latent-Dynamics Ensemble Flow Filtering for Data Assimilation with Sparse Observations
- Protecting Sensitive Data in Image Synthesis via PAC-Private Adaptation for Diffusion Models
- On architectural choices for interpretability and thermodynamic consistency in Physically Recurrent Neural Networks in the low-data regime
- Articulatory Entrainment and Coordination Complexity in Spontaneous Autistic and Non-autistic Dialogue
- Pareto-Dominant Clarification: Post-Training Coding LLMs via PPO-Lagrangian Budget Constraints
- Beyond Masked Sparsity: SNACK Enables Truly Sparse Neural Networks on GPU
- Progressive Multi-Ancestor Bit-Depth Distillation
- Physics is the Best Teacher: Consistency Learning for Time-Invariant Operators of Chaotic Dynamics
- Sharp Convergence and Sample Complexity of Policy Mirror Descent for Average-Reward MDPs
- Dynamic Harness Search: Building Multi-Agent Systems Per-Query via Prediction
- ExpertMuon-Compass: Alignment-Guided Step Sizes for Mixture-of-Experts Training
- Ideal Paths for Approximating Logistic Gradient Descent Trajectories at Large Initialization
- Consideration Circuits: Depth Separation and Universality Beyond a Single Softmax
- You May Be Running the Wrong Inception Crop
- Principled Top-$k$ Selection for Language Models with Hybrid Gradients
- PaLoRA: Paced Low-Rank Adaptation for Continual Learning
- Stochastic Adaptive Fourier Decomposition for Operator Learning
- Optimizer Geometry Sets the Pace: Spectral Learning Dynamics in Matrix Factorization
- A Hand-Checkable Proof That Two Hidden ReLU Layers Compute the Maximum of Six Numbers
- Cross-Trait Transfer in Subliminal Learning
- Adaptive Bregman Alternating Projections for Feasible Gromov-Wasserstein Learning
- Self-Reflection Fine-Tuning: Enhancing Agent Security against Prompt Injection Attacks from Failure Experience
- Integrated Imputation-Classification for Supervised Learning with Missing Data
- Do RUL explanations hold up? Faithfulness and stability of attributions on C-MAPSS
- Modeling Deletion Requests in Machine Unlearning
- LyapuFlow: Controlling Generative Flows with Lyapunov Feedback for Inverse Problems
- S$^3$N: A Spherical Spiral Scanning Network for Weather Forecasting
- Hierarchical Credit Assignment for RLVR on Fused Gromov-Wasserstein Geometry
- Checkable NTK Positivity and Finite-Width Gradient Descent for Scalar- and Vector-Valued PINNs with Strong-Form, Weak-Form, and Nonlocal Linear Constraints
- A multi-stage probabilistic framework to estimate gas-fired generator performance during extreme winter weather
- CEENs: Causality-enforced evolutional networks for solving time-dependent partial differential equations
- Measuring Effective Data Resolution in Guided Diffusion Posteriors
- On the Trade-off Between Information Loss and Generalization in Sparse Attention
- UnAct: Gradient-Free Unlearning via Targeted Activation Intervention
- LocusRL: Diagnosing LLM Reward and Policy Interventions in Competitive Games
- One-Step Generation via Riemannian Wasserstein Gradient Flows
- BARQ: Balanced Codebook Refinement for Low-Bit LLM Quantization
- LoRA's Second Descent Extends Beyond Parameter Parity
- Length Generalization Needs Proper Regularization
- Proximal Causal Learning under Unmeasured Confounding
- PhaseGate: Phase-Aware CPU Retrieval Scheduling for On-Device LLMs on Unified Memory
- TMAML: Temporal Model-Agnostic Meta-Learning for Cold-Start Time Series Forecasting
- DiffGate: Difficulty-Gated Teacher Guidance for On-Policy Distillation
- Asymptotically Optimal Best Arm Identification with Fixed-Budget under Differential Privacy
- Anticipating the Consequences of Curriculum Decisions with Large Language Models
- Backward-Consistent Diffusion Sampling for Sparsely Observed PDE Inverse Problems
- The Numerical Linear Algebra of Large Language Models
- Revisiting the Generalization of Neural Graph Edit Distance Models
- Gated Target Propagation for Compositional Generalization in Continual Learning
- Pareto-Improving Adversarial Attacks with Primal-Dual Regularization
- Path Laplacian Encodings for Directed Graphs
- Low-Fidelity FDM Spectral Guidance for Neural Eigenvalue Solvers
- Score-Calibrated Flow for Sampling from Unnormalized Densities with Applications to Generative Online Reinforcement Learning
- Learning Discriminative Geometry for Drifting Models
- Localized Operator Learning with Adaptive Partition-of-Unity Mixture-of-Expert Networks
- FoSeRL: Formal Sequential Robustness Certification for Reinforcement Learning Policies
- Variance-Optimal Control Variates for Learning with Black-box Feedback
- Repeated-Measure Leakage, Distribution Shift, and Reliability under Partial Observation in Patient World Models
- DASH: Fast, Valid Counterfactuals for Deep Networks via Batched Directional Search
- KALEIDO: Input-Space Adaptation of a Vision Model for Time-Series Forecasting Through Gated Fold Geometries
- TIMBRE: Teaching Time Series Forecasters to Read, Remember, and Reconcile
- Multi-Agent Spectrum Sharing
- GRAM: Correcting Frozen Time-Series Foundation Models via Graph-Retrieved Amplitude Memory
- Which Preferences to Train On? End-to-End Multi-Objective Alignment with an Adversarial Preference Distribution
- CURIO: Curiosity-Driven Test-Time Learning for Open-Ended Discovery
- Your Temporal Link Predictor Is Blind to Who Is Active: A Missing Factor That Transfers Across Models
- Residual Visual Credit Optimization: Conserved Evidence Routing for Multimodal Reinforcement Learning
- Prompt Dominance and Asymmetric Verifier Costs: Empirical Ablations of GRPO at 1B Scale on GSM8K
- Billion-Scale Thumbnail Optimization for Uncurated Short-Form Videos via Multi-Armed Bandits
- Learning under Localized Minority Imbalance
- Bridging the EHR Divide: Asymmetric Contrastive Learning for Cross-National Medical Representation Transfer
- How Should Teachers Be Prepared? RL on Student-Induced States for On-Policy Distillation
- Trinity: One Differentiable Physics for Training, Refining and Scoring Generative Floorplanners
- MAGIC: Topology-Aware Analytic Graph Few-Shot Class-Incremental Learning
- One Token Can Be Enough: Bridging Prompting and Activation Steering with Prefix Steering
- Hamiltonian Metric Learning and Energy-Based Training: A Dissipative Geometric Framework for Optimization
- Priced Guidance: Can Language Models Generate Future Research Ideas?
- What Will Post-Training Fix? Per-Problem Gains Are Shared Across Independent RL Runs, and Existing Checkpoints Predict Them Better Than A Priori Signals
- How Long, Not How Close: A Learned Temporal Metric for Planning in Latent World Models
- Pessimistic Minimax Learning for Public-Private Information Games under Unilateral Coverage
- Beyond Overparameterization: Provable Learning of Input-Convex Multi-Layer Polynomial Networks with Active Queries
- Physics-Augmented Graph Transformers for Patch-Antenna Forward and Inverse Design
- MetaKernelBench: Measuring GPU Kernel Knowledge Transfer Beyond Code
- Calibrated Weak Supervision for Post-Harvest Burned-Cropland Mapping Under Label Scarcity
- Revealing After Overwriting: An Exponential POMDP OPE Lower Bound under History-Dependent Logging
- Outcome-Guided On-Policy Self-Distillation
- ReDiffNet: Differential RGB-Infrared Learning for Low-Light UAV Oriented Vehicle Detection
- How Execution Assumptions Change Short-Horizon Sharpe Rankings: Evidence from a Synthetic Trading Benchmark
- Advectra: Asymmetric Latent Transport for Non-Stationary Physics
- METRO: Metric-Enhanced Token Routing Operator
- Private Component-by-Component Learning
- Component-Level Evaluation of Adaptive PINN Training for CFD-Oriented Crystal Growth Simulation
- Hidden in the Comments: A Context-Injection Attack Surface in Code LLMs
- Arithmetic Actor Heads and Training Stabilization for Out-of-Distribution Reinforcement Learning
- Measuring Learned Monotone Temporal Aggregation at Matched Admissibility
- Cross-Time Directional Selection in Diffusion Sampling
- Learning without Overwriting: A Theory of Self-Distillation and Supervised Fine-Tuning in Continual Reasoning
- Ranking Bandits for Carousel Interfaces with Observable Browsing Depth
- Kolmogorov-Arnold Networks for Personal Context Recognition on ExtraSensory
- Loopy: Low-Bit Quantization Framework for Looped Language Models
- A Unified Scaling Law for Time Series Foundation Models
- Fast Convergence through Distributed Augmentation for Class-Imbalanced Federated Learning
- Smoothed Gradient Method for Nonconvex Federated Stochastic Bilevel Optimization
- Erased, Rerouted, or Rescaled? Post-Training and the Causal Quotient of a Language Model's Belief State
- FlexCast: Adaptive Weather Forecasting from Arbitrary Field Sets
- Do Neural Networks Learn Structure-Preserving Maps? A Case Study in Latent-to-Hilbert Embeddings
- ASCENT: Online Test-Time Training of Long-Horizon Agents via Self-Distillation of Verified Experience
- Robust Parameter-Efficient LLM Adaptation on Analog Hardware
- When Does Longer Reasoning Help? Predicting Mathematical Reasoning Through Discovery and Execution
- Understanding the Weight Averaging Mechanism in LLM Training for Post-Training Quantization
- Compact set-valued deep ensembling in multi-class classification
- Diffusion Transformers are Provably Optimal In-context Generators
- Task Inference Beyond Least Squares in Behavioral Foundation Models
- FACET: Factorized Asymmetric Conditioning for Efficient Transport in High-Fidelity Fluorescence Microscopy Synthesis
- The Effect of Missingness-Pattern Mismatch on Method Selection for Time-Series Classification: A Controlled Empirical Study
- Robust Ensemble Guidance for Scientific Inverse Problems
- Efficient Graph Generation via Direct Prediction and Flow Matching
- Task Vector Descent: Learning from Non-IID Batches
- Groupwise Distortion Guarantees for Preference-Based Alignment
- VERA: Verdict-Conditioned Reliability for Adaptive LLM Judges
- Measuring and Reducing Cross-Vendor Mismatch in Language Models
- Universal Test-Time Training
- Underscoring the Problem: Why Softpick Fails at Initialization
- Universality and Convergence of Generative Flows
- When Does Retrieval Help? A Study of In-Context Adaptation in Vision-Language-Action Models
- LEON: Location Embeddings from OSM Neighborhoods via Hexagonal Graph Masked Autoencoders
- Logic-Logit: A Logic-Based Approach to Choice Modeling
- Lightweight Semantic EEG Foundation Model for Frozen Cross-Disorder Transfer
- Joint Estimation of Common-Slope Decay Rates and Spatial Amplitudes Using Parameterized Nonnegative Matrix Factorization
- When Low Prediction Error Misleads Planning: Diagnosing Representation, Dynamics, and Decision Failures in Latent World Models
- An equality condition for the Dobrushin bound on attention rollout and how often it holds in trained transformers
- Poisson-GENERIC Neural Operators: Exact Metriplectic Structure in Function Space via Casimir Entropies
- Disentangling Task Difficulty from Run-Level Failure in Agent Failure Prediction
- ColdDDI: Evaluating Knowledge Utilization in Cold-Start Drug-Drug Interaction Prediction
- Delay-coordinate reconstruction and conditional-moment causal diagnostics in stochastic systems
- When Does a Diffusion Model Decide What to Draw ?
- Training and Scaling Compute-Optimal Physiological Waveform Foundation Models
- Graph Data Augmentation via Contrastive Generator Inversion ($\texttt{DCBA}$)
- Bellman-Centric Learning: Near-Optimal Regret for Linear Bandits with Memory
- Sharp Integrality Gaps in Calibration Distance
- Square-Root Regret for Adversarial Multiplayer Bandits without Collision Information or Shared Randomness
- Planetary Geospatial Foundation Models: A New Paradigm for Global Public Health
- Voltic: Distinguishing Volatility from Stochasticity in Recurrent Memory
- From Pixels, Without Pre-training: Joint Generative and Self-Supervised Representation Learning in One Model
- ReMaD: Tuning-free Domain Adaptation for Classification and Out-of-Distribution Detection
- Inferring physical fields in coupled systems with unknown parameters from incomplete observations using physics-constrained attentive neural operators
- PACMI: Provenance-Aware Cascading Memory Invalidation for Long-Term LLM Agents
- Beyond In-Distribution Preservation: Recovering Generalization in Quantized VLAs via Vulnerability-Oriented Tuning
- AdaSpark: Adaptive DSpark with Online Learning for Tree Verification and N-gram Fill
- Image resolution enhancement for advanced semiconductor nodes
- Feature identification for parameter extraction and defect detection using machine learning
- Usefulness of Quantile-Aware Diffusion Modeling for Highly Imbalanced Tabular Data
- HiER-BLS: A Hierarchy-Guided and Error-Correcting Robust Incremental Broad Learning System
- RepICL: Reusable In-Context Prediction Across Heterogeneous Representation Spaces
- The Blind Spot Paradox: When Adaptive Classifiers Defeat Drift Detectors
- TurboPairFormer: Fast and Stable Protein Folding Model Training with an Optimized Triangle Attention Kernel
- Global Communication or Graph-Specific Memory?
- The Optimization Landscape of Learning Compacted Context Models
- Collaborative Personalized Preference Alignment for LLMs under Data Deficiency
- CoHyFuse: Condition-wise Hypergraph Fusion with Global Connectome in Task-fMRI
- Large Stepsizes Federated Learning on Logistic Regression with Linearly Separable Data: The Case of Heterogeneous Devices
- Beyond Transport Cost: Routing Differences between Flow Matching and Optimal Transport
- The Arbitrary-Placement Problem in Entropy-Minimizing Selection, and a Residual-Entropy Formulation
- Technical Report on the Turba Fertilizer Machine Learning Stack in Morocco
- Discovered, Not Designed: Population Evolution for Collaborative and Compute-Intensive Model Discovery
- MEND: RL For Flow Models via Proximal Velocity Matching
- Strategic Multi-Agent Learning for Interpretable Action Valuation of All Players in Football
- Fast Last-Iterate Convergence in Zero-Sum Markov Games with Bandit Feedback
- Reachability-Aware Diffusion Policy Optimization
- StagQ: Constraint-Driven Multi-Precision Weight Quantization for LLMs
- Langevin Flow Maps: Efficient Molecular Dynamics and Transition Path Sampling
- Learning While Scheduling Jobs under Context-Dependent Service Rates: An Anytime Rate-Optimal Algorithm
- Ultrasound Operator Guidance Using World Modeling and Retrieval Based Action Planning
- Spectral Geometry of Attention: From Information Routing to Uncertainty
- Joint Precision Neural Networks: Task-Aware Dependency and Predictive Learning
- GO-Based Clustering for Learning Cluster-Level Causal Gene Regulatory Networks
- Pay to Learn, Share to Earn: Incentivized Federated Multi-Player Bandits
- Rethinking Least-Core Computation in Contextual-Distractor Games
- Lossy Compression of PDE Training Inputs: Field Reconstruction Error Does Not Order the Cost to a Trained Operator
- Flash-OPD: Fast On-Policy Distillation
- ORCA: The Annealed Spectral Conditioning Optimizer for Faster, Better LLM Training
- Mind the Drift: Diagonal Linear Networks Under Large Learning Rates
- Integrating Survival-Based Aging Models with Data-Driven RUL Prognostics
- Co-Optimizing Graph Sparsification and Approximate Computing for Energy-Efficient FPGA-Based GCN Inference
- TIGER: Time-Series Classification with In-Context-Learning Gated Ensemble of Representations
- Two-Point Local Optimality in $k$-Means via Boundary-Point Screening
- Loss-Invariant Projections as Passive Probes of Learned Representations
- Structured Representation Learning for Behavior Cloning: How can we learn to safely control a nuclear power plant?
- Sampling Allocation of LinUCB: Optimal Design Limits in the Small-Gap Regime
- LeAVJEPA: A Minimalist Architecture for Audio-Visual Self-Supervised Learning
- Parameter Estimation in Machining Dynamics with Regenerative Delay and Nonsmooth Friction using Physics-Informed Neural Networks
- Certification-Enhanced Generalization Bounds
- RoSA: Rotational Sparse Adaptation for Memory-Efficient Fine-Tuning
- Constrained Goal-directed Planar Graph Generation with Grammar-based Reinforcement Learning
- Generative World Models Enable Predictive Control of Laser Melt Pool Dynamics
- Lipschitz Thinking: Ten Years of Certifiable-by-Design Robust Neural Networks
- SimAuthor: Harnessing Foundation Models for Persistent Scientific Simulator Authoring
- OCL-PDE: A Generative Framework for PDE Inverse Problems with Observation-Complementary Latents
- What May an Agent Change About Itself? A Containment Floor for Self-Configuring Agent Runtimes
- dIon: Fragmentation-Based Invariance for Self-Supervised Learning of Tandem Mass Spectra
- Trajectory-Guided Tokenization of Complex CSI for Wi-Fi Sensing
- SPDAlign: Interpretable Riemannian Alignment for EEG Forward Modeling Shifts
- Dynamic Minimax Regret Optimization for Robust LLM Post-Training
- Stability-Shaped Deep Graph Learning
- Multimodal Deep Survival Analysis for Sinkhole Susceptibility
- Learning Pareto Stationary Fronts via Single-Pass Backpropagation
- FlashCart: Fast Cartesian Tensor Products for Equivariant Interatomic Potentials
- Training-Free Transformer Merging via Sequential Local Operator Alignment
- Efficient Secure Federated Learning via Information-Theoretically Secure Key Distribution: A Medical Imaging Case Study
- HeuFouFT: Task-Guided Metaheuristic Coordinate Search for Fourier Fine-Tuning
- Time-series Foundation Models for Predictive Control: The Role of Excitation
- EMG-FM-Bench: A Comprehensive Benchmark for Foundation Model Transfer and Adaptation on Electromyography
- FairProp: Fair Node Representation Learning via Differentiable Propagation Layers
- Improving Proactive AI Assistance with Hierarchical Procedural Understanding
- Xaurora: Generative Weather Forecasting with Denoising Stochastic Interpolants from a Foundation Model Prior
- Conditional Flow Matching for Single-Neuron Electrophysiology: Capturing Multimodal Responses Across Stimuli
- WaveGSSM: Graph Wave State Space Models for Propagating Spatio-Temporal Patterns
- A Fine-Grained Analysis of the LoRA Fine-Tuning Landscape with Implications for Data Selection
- Empirical Variational Autoencoder
- LinearPFN: Amortized Variable Selection for Linear Models with Interactions
- Separators Make Carry Propagation Learnable:The Geometry of Latent Carry in a Multiplication Transformer
- Beyond the Model: The Critical Role of Data Filtering in Clinical Machine Learning
- Considering Context: When World Models Need Context Encoders
- The Birkhoff Geometry of Manifold-Constrained Hyper-Connections: Two Channels, Vertex Viscosity, and Sinkhorn as a Retraction
- TrustmeWatcher: An Application for Workplace Micro-Sensing and Explainable Well-Being Feedback
- What Matters for Latent Reasoning with Flow Matching
- Learning What to Imitate: Entropy-Aware Distribution Mixing
- Detecting Nighttime Anomalies from NASA Black Marble Using a Generalized Spatio-Temporally Robust Framework of Machine Leaning Ensembles
- Improved Convergence of Large Stepsize Gradient Descent for Logistic Regression
- How Sparse Probability Maps Shape Mixture-of-Experts Routing
- Aligning Multimodal Patient Evidence with Biomedical Knowledge Graphs for Clinical LLMs
- OVAL: Output-Aware Local Page Bases for KV Cache Retrieval
- Adapting prior-data fitted networks for tabular anomaly detection
- To Learn is to Wander: Learning Across Graphs and Tasks with Random Walks
- Decoupling Time and Space: A Temporally Conditioned Refinement for EEG Source Imaging
- Hyperbolic Graph Representation Learning: Embed in One Metric, Optimize with Another
- Round-Trip KNN Clustering: multiscale hierarchical cluster detection on directed nearest-neighbour graphs
- H-JEPA: End-to-End Learning of Hierarchical World Models for Visual Planning
- Block Disentanglement in CRL: Bridging Identifiability and Visual State Estimation
- Private online learning and prediction for Littlestone classes
- Towards Looped Models Done Right, Part II: Rethinking at Fixed Points
- Game Plan: What AI can do for Football, and What Football can do for AI
- On the Approximation Relationship between Optimizing Ratio of Submodular (RS) and Difference of Submodular (DS) Functions
- Broaden Your Views for Self-Supervised Video Learning
- Sharp Deviations Bounds for Dirichlet Weighted Sums with Application to analysis of Bayesian algorithms
- The Llama 3 Herd of Models
- Evolutionary feature selection for spiking neural network pattern classifiers
- Online Control via Counterfactual Tracking
- Shapley-based Structural Analysis of Neural Calibration for Stochastic Volatility Models
- Deep Learning Denoising of Real SWOT Sea Surface Height Observations
- Structured Neural Modeling of Daily Arctic Sea-Ice Concentration Evolution: Physical-Trajectory-Driven Learning and Forecast-Domain Adaptation
- Generalizable Neural Downscaling of Earth System Model Wind Fields via Continuous Dynamics Modeling
- LoRA Direction Extraction for Controllable Light Toggling in FLUX.1 Kontext
- StepCAD: Mesh-to-CAD Code Generation via LLM Policy and Geometry-Guided Search
- Targeted Active Learning for Preference-Based Treatment Effects on Multivariate Outcomes
- Same Output, Different Gold: Measuring How Reference Choice Moves a Multilingual Benchmark Score
- OncoNoteBERT: A Foundation Representation Model for Natural Language Processing of Real-World Outpatient Oncology Notes
- Probability flow ODEs in score-based and reflected diffusion models
- Latent Score-Based Bayesian Cram\'er-Rao Bound Estimation for High-Dimensional Imaging Systems
- Localize-and-Detect: Auditing Task-Level Poisoning in Instruction-Tuned Models
- Masked Privileged-Information Distillation for Multimodal Skin Lesion Classification Under Missing Clinical Metadata
- SUAVE: Unified Video-Action Models via Masked Diffusion
- Gated Graph Neural Networks for Learning Hidden Independent Cascade Dynamics
- Adaptive Partitioning Schemes for Optimistic Optimization
- Dynamic Quadtree Tokenization and Transformer for Adaptive Mesh PDE Forecasting
- Periscope: Extending Frozen Language Models Beyond Their Context Window
- Geometry-Dependent Approximation for Non-Monotone $k$-Submodular Maximization
- Application of sequence learning for predicting radiation damage of the CMS electromagnetic calorimeter
- Evaluating Zone-Guided Front Extraction for Glacier Calving-Front Delineation in SAR Imagery
- Why Convolution Still Matters: Evaluating Inductive Biases in Cryospheric Image Classification
- Exact Optimal Transport by Matching
- Scaling 3D Visual Grounding in Abdominal CT
- Representation-Aligned Auxiliary Supervision for Language Model Adaptation
- Where Does the Semantic Gain Come From? A Reproduction and Extension of Semantic Knowledge-driven Contrastive Learning for Long-Tailed Recognition
- What Gradients Add to Text Leakage in Split Language Models, Counted per Token and per Document
- Shared Geometry Is Not Shared Physics: A Layerwise Test of the Platonic Representation Hypothesis in Astronomy
- One-Cycle Fault Classification and Faulted-Line Identification on the PROTECT-90 Dataset: An Initial Application Benchmark
- Mitigating Over-squashing without Rewiring: A Sheaf Effective Resistance Perspective
- Humanoid Rickshaw Pulling: Whole-Body Locomotion under Coupled Wheeled Loads
- Conformal Prediction with Paraphrase-Aware Scoring for LLM Uncertainty Quantification
- Amortized Score-Hamiltonian Policy Iteration: A Grid-Free Scheme for Relaxed Stochastic Control Problems
- Local Fisher Information Enables Sparse Causal Discovery
- Latent Safety Filters: When a Lossy Encoder Admits a Transferable Certificate
- ML-OPF-Bench: Benchmarking Machine Learning for Optimal Power Flow
- FLAT: Smoothing the Rugged Landscape for Learnable, Sample-Efficient Traffic Calibration
- A KKL Observer Perspective on Reservoir Computing
- Frame-Level Temporal Alignment for Human-to-Robot Visual Adaptation
- Largest Rashomon sets of decision trees for robust contextual optimization
- Gaussian Flow Dynamics: Simulation-Free Neural SDE Learning Beyond One-Time Marginals
- JASPER: Special Session on Joint Reliability And Security Assessment of SPlit Computing for Edge Robustness
- Saying, Not Knowing: Aggressively GGUF-Quantized Small Language Models Still Write Rare Words They Can No Longer Define
- DV-Lens: Revealing the Functional Organization of Language Model Parameters
- DreamTest: World-Model Surrogates for Search-Based Testing of Deep Reinforcement Learning Agents
- Homogeneous Semantic Alignment and Hierarchical Expert Routing for Radiology Report Generation
- All against the machine: the Solo score for rating skill in variable environments
- Quantum Machine Learning Protection of Military Quantum Key Distribution Against Cryptographically Camouflaged Attacks
- ClimateBench v2.0: Probabilistic Climate Model Benchmarking
- Gradient-Free Sampling from Generative Models via Stochastic Bounded Extremum Seeking
- From Transformers to Weighted Automata: Towards the Verification of Large Language Models
- SIFT: Robust Meta-Faithfulness Verification of Chain-of-Thought Reasoning Under Distribution Shift
- WASP: Weakly Aligned Spatiotemporal Pairs for Fetal Brain MRI-Ultrasound Learning
- Exploiting Hierarchical Controller Structure in Contextual Parameter Learning for Humanoid Loco-Manipulation
- Does Neural Complexity Improve Health Misinformation Detection? A Leakage-Controlled Cross-Corpus Benchmark
- Hypergraph Representation Learning with Hyperlink Random Effects
- Asking the Crowd the Right Question: Bias-Cancelling Weights for Federated Learning
- SepRQ : Self-Supervised Speech Mixture Representation Learning via Mask-Free, Multi-Scale Source Separation
- GPU-Accelerated Bregman Douglas-Rachford Splitting for Discrete Optimal Transport
- Latent-Lagrangian Neural Networks for Reduced Order Modeling of Non-autonomous Nonlinear Dynamical Systems
- Exact Fast Batch Simulation for Tabular Reinforcement Learning
- Variance-Aware Fine-Grained Gap-Dependent Bounds for Online Reinforcement Learning
- Flow Policies as Actions of Skill-Level World Models: Learned and Symbolic Abstractions for Long-Horizon Planning
- Learning Task and Motion Plans from Real Demonstrations with Hybrid Flow Matching
- RepTC: Representation-Aware Optimization for Efficient Traffic Classification on Edge IoT Devices
- AID: A Framework for AI Infrastructure Dynamics
- MOXIE: Discovering Alternative Explanations for Biomedical Image Classifiers
- One Tile, Multiple Instances: Rethinking MIL for Sparse Diagnostic Evidence
- When the noncommutative AM-GM inequality holds
- Bounded Reasoning: Cognitive Hierarchy in Human-versus-AI Cyber Defense
- Static Bootstrap Placement for Encrypted Language Model Decoding
- Near-Optimal Complexity of Finite-Sum Nonconvex-Strongly-Concave Minimax Optimization
- Optimal Oracle Complexity for Finite-Sum Monotone Inclusions
- A Statistical Inference Framework for PMI Estimation and SGNS Word Embeddings
- vMF Sentence LDA: A Spherical Topic Model over Sentence Embeddings
- A Contrast-Source Inversion Scheme Based on Stochastic Optimization and Plug-and-Play Regularization
- Locality Sensitive Hashing for p-Exponential Kernels with Applications to Density Estimation
- TIRMamba: A Thermal-Prior-Modulated State-Space Network for Sub-Million-Parameter Infrared Image Super-Resolution
- On prediction from expert advice with more than five experts
- FORGE: Verification-Gated Behavioral Repair for Generative Language Models
- Synergizing Drone Delivery Order Pooling and Road Network Monitoring through Monitoring-Task Orderization
- Mind the Gaps: From Failure Attribution to Closed-Form Repair of Code Language Models
- Transferable Adversarial Robustness for Speech Foundation Models via Hierarchical Stabilization
- CT-Miner: Fast and Coarse-Grained Time-Series Pattern Mining via Cartesian Trees
- Unmentioned Checklist Findings Change How Reinforcement Learning Appears to Improve Chest Radiograph Report Checking
- Learning in Continuous Games from Pairwise Preference Feedback
- The sublevel Flood bifiltration: towards scalable 2-parameter persistent homology
- The Poisoned Conversation: Privacy-Leaking Watermarks in Unified Multimodal Models
- Taylor Representations for Model-Free RL in Networked MDPs
- SALUS: Automated Auditing of NL-to-SQL Benchmarks through Weak Supervision of Multi-Agent Output
- Lend Me Your Eyes: Instruction-Aware Text Embeddings via Attention Relay
- Moment-Accurate Gaussian Mixtures for Constant-Step Stochastic Approximation
- Gaussian Limits for SGD Without Stationary Moments
- Causal Lag Structure Discovery in Confounded Time Series via Orthogonalized Adaptive Estimation
- Spacecraft Rendezvous Trajectory Generation with Modular Constraints via Diffusion Model Composition
- An evolutionary origin of collective decision making in humans and machines
- RESOLVE: Language-Agnostic Validation of GPU Kernels Through Testing, Reduction, and Proof
- Errors of LLM-Assisted Literature Retrieval in Environmental Science: A Comparison Study of Abstract versus Full-text Based Prompts
- Retrieval-Based In-Context Learning: A Domain Adaptation Framework
- Isotropic Gaussian Processes Improve Vanilla Bayesian Optimization in High Dimensions
- Dimension-Free Decentralized Nonsmooth Nonconvex Stochastic Optimization
- Online AutoML: Evaluating Poisoning Attacks on Adversarial Training Defense Strategy in IoT Networks
- Transporting Unsecured Stacked Payloads with a Quadrupedal Robot via Multi-Objective Reinforcement Learning
- Adaptive-Shot Hybrid Quantum Anomaly Detection for Tactile Internet Security: Reliability-Aware Measurement Allocation Under Resource Constraints
- AnchorPose for Geometry-Aware MOF Assembly through Meso-Grained Pose Generation
- PhaseMatcher: Autoregressive Phase-Set Identification with Spectral Decomposition
- Finite-Sample Distribution Theory and Efficient Large-Scale Inference for Online Quantile Regression
- Learning to Learn a Language
- Mulligan: Performance-Guided Data Collection for Efficient On-Robot Learning
- Fitting Vision Adapters at Frontier Scales
- Combining Improvements in Uplink AI-RAN
- How (and How Not) to Use Data Augmentation in VLA Post-Training
- P3: Persistent Particle Planning for Constrained Diffusion Control
- Polynomial neural surrogates for designing photonic quantum experiments
- How well do routinely collected demographic and clinical variables aid point-of-care lung ultrasound TB classification
- Last-Iterate Convergence Rate of Normalized Gradient Descent under H\"older Smoothness
- Quantum data loading from the learned shared structure of real signals
- Gaussian Universality and Its Breakdown in Tensor-Network Machine Learning
- Reinforcement Learning-Based Optimization of Workload-Aware Power Delivery Networks
- What Does It Cost to Simulate a Quantum Sentence Classifier? An Energy and Compute Perspective on Near-Term QNLP
- AUTOPILOT An Advanced Perception, Localization and Path Planning Techniques for Autonomous Vehicles Using YOLOv7 and MiDaS
- Encoded but Not in Control: Revealing the Grounding Gap in Vision-Language Robot Policies
- From Abusive Language Classification to Sequence Labeling Identification
- Sharp dimensional analysis of midpoint methods for Langevin sampling
- Watermarking: from Impossibility to Auditable Compliance
- Readout Blindness: VLM Scores Miss the Spatial Direction Their Frozen Encoders Retain
- Dual Variational Autoencoders for Efficient Sim-to-Real Transfer in Low-Cost Robotic Navigation
- IGA-KAN: Isogeometric Analysis with Physics-Informed Closed-Form Kolmogorov-Arnold Networks for Forward and Inverse PDEs
- Latent Similarity Gaussian Processes: A Theory-Grounded Approach to Personalized Suicide-Risk Forecasting for Clinical Decision-Support
- Ontology Concept Overlap as a Training Signal: Knowledge-Grounded Reinforcement Learning for Clinical Question Answering
- Correct Verdicts, Flawed Reasoning: Structured Auditing of LLM-based Vulnerability Reasoning
- Environmental sensor readings in two crop disease image datasets identify the session in which each image was taken
- KESurv: A Kernel Ensemble Method for Patient-Specific Survival Prediction
- NeuroCBIR: A Fast and Accurate Image Retrieval System for Whole-Brain and Region-Specific MRI
- SOL: Measuring Gaps between Text Distributions by Double Sliced Wasserstein Metrics
- MIRT: Transformers for Truthful Generative Auctions with Whole-feed Permutation Externalities
- The Surrogate Is Not the Reward: Post-Surrogate Primary-Outcome Acquisition in Contextual Bandits
- RealtimeWAM: One-Step Asynchronous World Action Models
- On the Cardinality of Optimal Representations in the Binary-Source Information Bottleneck
- Inverse Cross-spectral Neural Networks for Multivariate Time Series
- Representation-Space MMD for Diffusion Language Models
- Revisiting Label-Free Speaker Embedding Enhancement with vMF Profile Likelihood
- A Solvable Model of Adaptive Learning Rate Rescaling: Acceleration, Stability & Scaling
- Reading the Mood: Emotion-Guided Book-to-Music Recommendation via CGANs and LLMs
- Out-of-control Hamiltonian Learning
- ufakzeka-karar: An Open Turkish Typed-Decision Model with Order-Invariant Option Scoring
- Singular parameters and missing limits in neural PDE solvers
- On Learning Optimal Corners in Orthogonal Partially Observable Cooperative Guard Art Galleries
- How to scale your HEP ML models: A recipe for robust architecture comparisons at scale
- A Response Theory Probe for Learned Stochastic AI Simulators, Tested on Lorenz-63
- Finding Gaussian Structure in Bosonic States
- Direct Intermediate Initialization for Tilted Diffusion Samplers
- Resisting Adversarial Attacks in Deep Neural Networks using Diverse Decision Boundaries
- Online Linear Programming with Batching
- Nonlinear Equilibrium Transitions in a Potential Game Model for Federated Learning
- How Vulnerable Is My Learned Policy? Universal Adversarial Perturbation Attacks On Modern Behavior Cloning Policies
- Ordinary Least Squares as an Attention Mechanism
- KITINet: KInetic Theory Inspired Inter-Channel Information Exchange for Residual Networks
- Distributionally Robust Deep Q-Learning
- Learning Interpretable Differentiable Logic Networks for Tabular Regression
- Online Conformal Abstention Under Adversarial Bandit Feedback
- Cooperative Sheaf Neural Networks
- Disentangling Bias by Modeling Intra- and Inter-modal Causal Attention for Multimodal Sentiment Analysis
- Grad-CAM for Visualizing Attention Regions of PCA and SVM Layers in Convolutional Neural Networks
- FedUHD: Unsupervised Federated Learning using In-Memory Hyperdimensional Computing
- EEGDM: Label-Efficient EEG Representation Learning with Generative Diffusion Model
- Minority Collective Action for User-Side Fairness
- Learning Interpretable Differentiable Logic Networks for Time-Series Classification
- GeoFunFlow: Geometric function flow matching for joint probabilistic inference of physical fields and complex geometries
- Bayesian Distributional Models of Executive Functioning
- Climate Surrogates for Scalable Multi-Agent Reinforcement Learning: A Case Study with CICERO-SCM
- Spectral Analysis of Molecular Features: When Richer Features Do Not Guarantee Better Generalization
- Gradient descent dynamics for deep equilibrium models
- EfficientXpert: Efficient Domain Adaptation for Large Language Models via Propagation-Aware Pruning
- Spectral Embedding via Chebyshev Bases for Robust DeepONet Approximation
- Systematic Hazard Sampling: Minimal-Variance Inference for Discrete Diffusion and Flow Models
- Amortized Acquisition Optimization for Bayesian Optimization with Variational Mutual Information
- Stability and Generalization of Stochastic Nonconvex Optimization under Heavy-Tailed Noise: From Gradient Norm to Goldstein Stationarity
- Missing-Data-Induced Phase Transitions in Spectral Partial Least Squares
- Learning-to-Defer in Non-Stationary Time Series via Switching State-Space Models
- Lethe: Principled Dual-Stream Update for Persistent Knowledge Erasure in Federated Unlearning
- PlatoLTL: Scaling LTL-Guided Multi-Task RL
- Divide-and-Conquer CoT: RL for Reducing Latency via Parallel Reasoning
- Quantum Model Parallelism for MRI-Based Classification of Alzheimer's Disease Stages
- STILL: Selecting Tokens for Intra-Layer Hybrid Attention to Linearize LLMs
- Multi-Level Strategic Classification: Incentivizing Improvement through Promotion and Relegation Dynamics
- DyQ-VLA: Temporal-Dynamic-Aware Quantization for Embodied Vision-Language-Action Models
- Physics-informed neural operator for parametric phase-field modelling of interfacial degradation and microstructural evolution
- PDE-SSM: A Spectral State Space Approach to Spatial Mixing in Diffusion Transformers
- Aligning the Query Space: Greedy Information Projection for Language Model Data Selection
- NASimJax: A GPU-Accelerated Policy Learning Framework for Penetration Testing
- High dimensional theory of two-phase optimizers
- GUIDE: Reinforcement Learning for Behavioral Action Support in Type 1 Diabetes
- Tensor-based computation of the Koopman generator via operator logarithm
- TempusBench: An Evaluation Framework for Time-Series Forecasting
- Wasserstein Formulation of Reinforcement Learning. An Optimal Transport Perspective on Policy Optimization
- Chronax: A Jax Library for Forecasting and Conformal Inference
- Untrained CNNs Exceed Backpropagation in V1 Alignment at High Evaluation Resolution: A Systematic RSA Comparison of Four Learning Rules Against Human fMRI
- Same Methods, Different Rankings: Trainable Depth as an Evaluation Variable in Continual Learning
- SPLICE: Latent Diffusion over JEPA Embeddings for Conformal Time-Series Inpainting
- Perturb and Correct: Post-Hoc Ensembles using Affine Redundancy
- Bringing Order to Asynchronous SGD: Towards Optimality under Data-Dependent Delays with Momentum
- Two Calls, Two Moments, and the Vote-Accuracy Curve of Repeated LLM Inference
- Adaptive Inverted-Index Routing for Granular Mixtures-of-Experts
- When Can Voting Help, Hurt, or Change Course? Exact Structure of Binary Test-Time Aggregation
- ProtoSSL: Self-Supervised Pretraining and Downstream Transfer for Projection-Based Prototype Models
- Twincher: Bijective Representation Learning for Robust Inversion of Continuous Systems
- A Novel Schur-Decomposition-Based Weight Projection Method for Stable State-Space Neural-Network Architectures
- On the Stability of Growth in Structural Plasticity: Forward-Active yet Backward-Starved
- Sample-wise Targeted Adversarial Attacks on Test-time Adaptation
- A PAC-Bayesian View of Generalisation for Physics-Informed Machine Learning
- Function-Valued Causal Influence in Nonlinear Time Series
- SPHERE-JEPA: Spherical Prediction with Homogeneous Embeddings
- The Model Shape Behind Scaling Laws: A Gradient Superposition Perspective
- Zero Collapse: A Failure Mode of Policy Gradient Methods in Discontinuous Reward Environments
- Trajectory-Aware Best-Arm Identification for Local Search Allocation in Bayesian Optimization and Beyond
- Lightweight CNN-Based Anomaly Detection for High Voltage Converter Modulators in the Spallation Neutron Source
- Dialectics of Alignment: Harnessing Unsafe Knowledge for Dynamic Safety Routing
- Flash-WAM: Modality-Aware Distillation for World Action Models
- A Unifying View of Attention Sinks: From Mechanisms to Architectural Interventions
- Ambiguous Strategic Classification
- Learning the Context of Errors: Black-Box Online Adaptation of Time Series Foundation Models
- Your Privacy My Cloak: Backdoor Attacks on Differentially Private Federated Learning
- Score Approximation for Diffusion Models on Arbitrary Low-Dimensional Structures
- GLACIER: Rethinking Mass Spectrum Prediction as an Object Detection Problem
- Geometric Self-Distillation for Reasoning Generalization
- NFTR: From Provable Mode-Averaging to Geodesic Subgoal Selection in Offline Goal-Conditioned RL
- The Label Complexity of Useful Class-Conditional Prediction Sets under Distribution Shift
- The Dynamics of Discoverability: How Trajectories and Priors Shape Equation Recovery
- In-Context Time Series Classification with Random Convolutional Features
- How Much Can a LoRA Adapter Memorize? Measuring Adapter Capacity in Bits
- Experimentation and Commitment under Reward Shifts
- Rethinking the Effectiveness of Contrastive Decoding in Mitigating Hallucinations in MLLMs
- An Identifiability Theory of Masked Prediction: Mode Blindness and Mask Schedules
- ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces
- Which Decisions Low-Bit Quantization Breaks, and How to Predict Them
- Constrained Graph Diffusion for Mixed Integer Optimization
- Designing Reinforcement Learning for Diffusion Models: A Unified Path-Space View
- Cone Rayleigh Levels: Finite Perturbations and Certified Control
- DCCQ: From Ordered Bernoulli Levels to Critical-Line Geometry: Integer Quantization, Bernoulli Residual Phase, and Prime-Power Spectra
- Physics-Informed Deep Learning for False Ventricular Tachycardia Alarm Reduction in the ICU
- Online Inverse Integer Linear Optimization via Small-Gradient Skipping: Constant Regret and Finite Mistakes
- DR-LabStack: Design and Implementation of a Clinician-Facing Web System for Diabetic Retinopathy Prediction
- RiVaT-Fuse: Reliability-Calibrated Variational Tensor Fusion with Matrix-Valued Trust for Multimodal Prediction under Modality Uncertainty
- Granularity-Adaptive Credit Assignment for Long-Horizon LLM Agent Reinforcement Learning
- Hybrid coupling with numerics-informed neural networks and the overlapping Schwarz alternating method
- Storing Is Not Remembering: LSTM-UT and Bounded Gated Memory for Looped Transformers
- LumoTree: Path-Parallel Speculative Verification for Hybrid Language Models
- SupportCal: Label-Free Calibration of Post-Trained LLMs via Reference Support and Corroboration
- Efficient Cost-Aware LLM Evaluation via Bayesian Bandit Gittins Indices
- On the SoS Certifiability of Log-Concave Distributions
- GyroNovo: Error-Guided Fragment Imputation with Mass-Aware Attention for De Novo Peptide Sequencing
- EPOC: Endpoint-Preserving Online Correction With Compressed Residual State for Multi-Horizon Time Series Forecasting
- Trust Guided Decision Transformer
- Replay in the Silent Degrees of Freedom: Continual Learning Without an Offline Phase
- Model-Agnostic Online Certificate-Driven Calibration for Time Series Forecasting Under Distribution Shift
- Traceprop: Training Data Attribution in a Single Pass
- When Does Backpropagating Through Policy Memory Matter? Physical Credit, Optimizer Updates, and Observability
- Oracle-Efficient Online Classification with Stochastic Inputs and Adversarial Outputs
- Loop Dropout: Regularizing Shared Updates in Looped Language Models
- Predicting Delayed Train Trajectories on the Dutch Railway Network: Explainable AI Evaluation of Topological, Operational and Weather Features with Tree Based Ensemble Methods
- LionMuon: Alternating Spectral and Sign Descent for Efficient Training
- Know Thyself, Teach Thyself: Internal Information Flow for Selective Self-Distillation
- Learning Macroscopic Dynamics without Reconstructing Microscopic States
- Probability Contracts: Accuracy, Coherence, and Decisions Across LLM Interfaces
- Counterfactual Probing for Parallel Unmasking with Hidden Forest Structure
- Characterizing High Bandwidth Flash for LLM Serving
- Right Answer, Wrong Mechanism: Detecting Pernicious Divergence in Causal Interventions
- T-ARC: Topology-Aware Randomized Clustering via Distributionally Robust Stochastic Block Models
- Can Domain Generalization be Guaranteed in Small-Sample Learning?
- Towards Better Exploration in Sequential Test-Time Scaling
- Reliability-Aware Checkpoint Selection for Domain Generalization
- Variational Streaming Flow: Probabilistic Forecasting in Physical Time
- Kernelized Activation Steering
- Port-Hamiltonian Neural Networks for Systems with Multiple Asymptotically Stable Equilibria
- Beyond Demographic Balance: Multi-Metric and Intersectional Evaluation of Fairness in MIMIC-IV Mortality Prediction
- pCoMole: Pareto-Constrained Molecule Editing with Discrete Flows
- Learning PDE Dynamics between Submanifolds Using Green's Observation Operators
- Context-Tower Conversion Preserves Generation While Freezing Retains Knowledge: Low-Budget AR-to-Diffusion Conversion of MoE LLMs
- SCAD: Structured Credit Assignment and Distillation for Long-Horizon Agents
- Personal VAD: Speaker-Conditioned Voice Activity Detection
- A Unifying Perspective on Descent Directions for Constrained Minimization and Switching Criteria
- Textual Echo Cancellation
- Understanding over-squashing and bottlenecks on graphs via curvature
- Convergence of Statistical Estimators via Mutual Information Bounds
- MIND: Microstructure INverse Design with Generative Hybrid Neural Representation
- Linear Bandits beyond Inner Product Spaces, the case of Bandit Optimal Transport
- Transformer Based Time-Series Forecasting for Stock
- Backdoor Attacks on Discrete Graph Diffusion Models
- Deep Fair Learning: Task-Aware Fair Representations via Joint Distance-Covariance Regularization
- Studying the Soupability of Documents in State Space Models
- Logit-Gap Steering: A Forward-Pass Diagnostic for Alignment Robustness
- RFG: Self-Improving Diffusion Large Language Models with Reward-Free Guidance
- Uniform-in-time convergence bounds for Persistent Contrastive Divergence algorithms
- Flip-Flop Consistency: Unsupervised Training for Robustness to Prompt Perturbations in LLMs
- Multi-Marginal Schr\"odinger Bridge Matching
- Quantum Information Ordering and Differential Privacy
- Two Americas of Well-Being: Divergent Rural-Urban Patterns of Life Satisfaction and Happiness from 2.6 B Social Media Posts
- Improving Forecasts of Suicide Attempts for Patients with Little Data
- Fine-Grained Caching for Diffusion Transformers with Few Calibration Conditions
- Revisiting the Broken Symmetry Phase of Solid Hydrogen: A Neural Network Variational Monte Carlo Study
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- Understanding Gap-Dependent Regret for Optimism-Based Reinforcement Learning with Linear Function Approximation
- RepoLaunch: Automating Build and Management of Code Repositories across Languages and Platforms
- DynaTokens: Controlling Token Dynamics for Continual Video-Language Understanding
- The Value of Information in Resource-Constrained Pricing
- Planning for Change: Reinforcement Learning Combined with Bounded Extremum Seeking for Robotic Control under Distribution Shift
- EXHIB: A Benchmark for Realistic and Diverse Evaluation of Function Similarity in the Wild
- Learning Over-Relaxation Policies for ADMM with Convergence Guarantees
- On the Influence of the Feature Computation Budget on Per-Instance Algorithm Selection for Black-Box Optimization
- Implicit Target Shift in Online Learning: Characterization and Correction
- Mutual Information Optimal Density Control of Linear Systems and Generalized Schr\"{o}dinger Bridges with Reference Refinement
- Debiasing Message Passing to Mitigate Popularity Bias in GNN-based Collaborative Filtering
- CompoSE: Compositional Synthesis and Editing of 3D Shapes via Part-Aware Control
- PAC Learning with Bandit Feedback: Sharp Sample Complexity in the Realizable Setting
- Machine Learning for Coding Retail Product Names to Consumer-Price Categories: A Rule-plus-Bag-of-Words Pipeline with Reliability-Weighted Human-in-the-Loop Labeling
- Function-Vector Heads Are Two Populations: Writers and Cancellers in In-Context Learning
- Modelling magnetic material properties with uncertainty-aware neural networks
- Quantum Statistical Memory Advantage Reveals Predictive Structure in Chaotic Invariant Measures
- Learning Topological Representations of Protein Structure and Dynamics
- REFLEX: Reflective Evolution from LLM Experience
- Task-Error Residual Learning for Real-Robot Five-Ball Juggling
- Capability Provenance in Language Models: A Case Study in Social Reasoning
- Message Passing Enables Efficient Reasoning
- Mask-supervised Object-centric Representation Learning with LeJEPA
- Optimal Stabilizer Testing and Learning with Limited Quantum Memory
- LP-SFT: Keeping Plausible Alternatives Alive in Supervised Fine-Tuning
- Can a Language Model Learn Facts Continually in Its Weights?
- DART: A Degradation-Aware Recurrent Transformer for Archival Film Restoration
- Comparison of a Parametric Physics-Informed Neural Network and a Tensorial Reduced-Order Model for the Shallow-Water Dam-Break Problem
- Evaluation Resolution Confounds Learning-Rule Comparisons in Model-Brain RSA of Early Visual Cortex
- Difference-of-Convex Regularization for Graph Learning by Differentiable Programming
- Composing Learned Robot Behaviors with Temporal Logic at Runtime
- Sliding-window beats linear attention
- The PUR-1 Cyber-Physical Digital Twin
- Spruce: Scalable Private Outsourced Retrieval Using Compact Embeddings
- Optimal Low-Rank Quantum State Tomography with Bounded-Sample Joint Measurements
- Bias-Induced Crossover in Absolute Capacity of Dense Associative Memory
- Stop Removing Stopwords: How an Inherited Preprocessing Default Distorts Legal Text-as-Data
- Exact Regret Frontiers and Externality Scheduling in Centralized Serial-Dictatorship Bandits
- Automated Physics-Informed Neural-Networks-Based Calibration of Highly Segmented Silicon Telescopes
- Fragment-Aware Vision Transformers for Fresco-Fragment Style Classification
- Graph Learning for Cross-Subject, Cross-Population EEG Emotion Decoding and Model-Derived Spatial-Spectral Neural Signatures
- Stochastic Flow Map for Count Data
- PredActor: Predictive Action Diffusion for Steerable Onboard Humanoid Control
- FFM-CP: Cross-Backbone Fusion of Vision-Language Foundation Models for Few-Shot Computational Pathology
- SAGE: Semantic Audio Generative Encoder
- RoPE is Dead, Long Live RoPE: Towards Scalable Data-aware Positional Encodings
- Into the danger zone: stable extrapolation in high-dimensional function and operator learning
- Recovering Off-Policy Supervision for Speculative Decoding
- VOSSA: Voiceprint Optimization for Streaming Speech Architectures
- Steepest Guidance: A Practical and Principled Approach to Inference-Time Alignment of Flow and Diffusion-based Models
- Minimax Additive Regression under Unknown Dependent Designs
- Generalized Geometry Block Proximal Linearized Method for Multiblock Nonconvex and Nonsmooth Optimization
- RPTune: Learned Context Curation for LLM Catalog Search
- MiDShip: Multimodal Dataset of Ship Cargo Hold Structures for Engineering Design
- Clinical Concept Centers in LLMs
- Amortized Structured Stochastic Variational Inference for Gaussian Process Latent Variable Models
- Smells and Refactorings for Software Environmental Sustainability: A Systematic Literature Review
- Characterizing Open-Source Video Games from a Software Engineering Perspective
- How Do Coding Agents Optimize Software and Report Performance Validation? A Large-Scale Empirical Study of Open-Source Pull Requests
- World Requirement Model: Learning Requirement-Change Consequences from Typed Artifact Graphs
- Noise-Resilient Testing of Quantum Programs Based on Output Dominance
- Practical Runtime Enforcement of First-Order Temporal Requirements
- When Talk Isn't Code: Comparing LLM Agents That Simulate and Develop Software
- Back to the Future: Regressing Readability Features from LLMs
- Asymmetric Repository Lineage Modeling and Verifier-Guided Coordination in Concurrent AI Coding Agents
- Agent Skill Evolution: How Revisions Affect Coding Agents
- CARET: Training-Free Test-Time Scaling for Repository-Level Code Completion
- LLM-Based Test Generation: Information Sources, Generation Strategies, and Quality Evidence
- Rethinking Tool Design for Agentic RCA: A Controlled Empirical Study
- Characterizing Security Effects of OSS Vulnerabilities in Agent Systems
- Beyond Task Completion: Measuring Interaction Cost in Terminal User Interfaces
- SpecAgent: Empowering Program Verification with Agentic Synthesis of Formal Program Specifications
- Understanding the Hierarchical Structure and Functional Landscape of the Model Context Protocol Ecosystem
- Adaptive Code Revision Attacks on AI Pull Request Reviewers
- Finite State Machine-Based Traffic Orchestration for Multi-Engine Analysis Platforms
- PreMaQ: Predicting Maintainability-Related Quality of LLM-Generated Code Before Generation
- Adopting InnerSource in a Public Sector Organization: A Case Study
- Mechanizing the User's Eye: Pre-Registered Deployment of a Sabotage-Validated Fail-Plausible Observer in a Production LLM Agent Runtime
- From Trust-by-Design to Continuous Trust in the Era of Artificial Intelligence
- Experimentation Practices in Indie Game Startups
- Let the Agent Do It? How Software Practitioners Understand and Make Permission Decisions in Agentic AI Assistants
- Where Does the Budget Go? Structural Concentration in Learning-Based Mutant Selection
- LLM Non-Determinism in Deterministic Processes: A Controlled Variation Space for Constraining the Propagation of Non-Determinism
- Fine-Grained Emotion Classification from Mobile App Reviews: An Empirical Study with Large Language Models
- No More Translation at Runtime: LLM-Empowered Static Binary Translation
- Security Is More Than a Library Call: How Security Features Live in Code
- When Equivalent Quantum Circuits Lose Synthesis Choices
- Hybrid Classical-Quantum Solutions to Accelerate the Adoption of Quantum Computing
- CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology
- Generalizing GUI Tests into Voice Assistant Capabilities through Behavioral Variation Discovery
- Can we find bugs using LLM-generated oracles?
- SELU: A Software Engineering Language Understanding Benchmark
- Mut4All: Fuzzing Compilers via LLM-Synthesized Mutators Learned from Bug Reports
- Classport: Designing Runtime Dependency Introspection for Java
- An Empirical Study of Generative AI Adoption in Software Engineering
- Adopt-an-AI-Researcher: Bootstrapping Industry-Academia Collaboration to Identify and Prioritise Generative AI Use Cases
- From UI to Code: Mobile Ad Regulation via LLM Unified Static-Dynamic Analysis
- Understanding Bugs in Modern Agentic Frameworks: A Study of Symptoms, Root Causes, and Triggering Conditions
- Precise Debugging Benchmark: Is Your Model Debugging or Regenerating?
- Binary Decompilation LLM with Feedback-Driven Multi-Turn Refinement
- Shortening agent skills leaves LLM agent cost unchanged
- Cam2Sim: Neural Scenario Reconstruction for Closed-Loop Autonomous Driving Simulation
- TripleBound: Triplet-Guided Heterogeneous Graph Learning for Microservice Decomposition
- From Human Intent to Strategy Decisions: A Review Framework Integrating Large Language Models and Digital Twins
- SWE-PolyVision: Benchmarking Cross-Image Abductive Reasoning for Repository-Level Software Engineering
- Methods for Counting and Enumerating Set Partitions
- From Retrieved Evidence to Security Outcomes: A Data-Driven Analysis of Java Security API Misuse in LLM-Generated Code
- Email Self Hosters - what are you using?
- Montray - a tray icon for systemd service health
- Async Rust: Where does the scheduler live?
- Brut, the Brutal Router for Unix Tools
- Bidirectional Type Slicing
- What is Codemode
- Open Source as We Know It Is Dead
- A sustainable web career, for when all this blows over
- Extend Lua with Zig 1: Hello World
- Two arm64-specific miscompiles induce vulnerabilities in curl
- Pared - remove unwanted Apple Intelligence models without disabling SIP
- Why We Should Inject Dependencies
- Flirt is now Open-Source
- Another step towards elm v1
- Last rites for Gentoo's Chromium package
- Mold 3.0.0 Released
- Golang tool to check SPF, DKIM, TLSA, and TLS settings for mailservers
- Factor Overview
- Inside the Windows I/O Manager: Deep dive into how read I/O requests are initialized
- hutch: local code reviews in emacs for the mildly disenfranchised
- What are you doing this week?
- Perseus: A Fail-Slow Detection Framework for Cloud Storage Systems (2023)
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- check this (いいね相当スコア: 0)
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- Realizing that your job is forwarding instructions from your boss to Claude and taking Claude’s responses to send them back to your boss
- After going the full hype cycle with Claude Code, I'm not convinced that it's a productivity win for "real" code
- Claude knows about my employer in Incognito
- Update: my human has been nerfed AGAIN. Two months on. Still no changelog.
- It scares me but I think I moved beyond meat proxy
- I used Claude Code to turn a 1989 DOS game I played as a kid into a relativity sim
- Opus 5.5 intentionally inserting Anthropic dependencies into codebases. Has anyone else had this happen?
- A video of Claude animating different art styles inspired me, so I had Claude build a full app that turns any photo into a mosaic you can actually make
- You put my what
- I'm making a Bubble Trouble inspired frog game with Claude
- "I'm just a meat proxy hitting 'Enter' for Claude"
- Did anyone else hear about Haiku 5.5 coming soon?
- I asked Opus 5.5 to build me a replacement interface for wiki.
- Woman arrested after Claude's human reviewers reported her diary entry to police
- I gave the 9 most popular Claude Code skills a sugar pill. 2 beat it, 1 did worse than the pill.
- How I taught an AI Engineering Manager to run my coding workflow
- I connected Claude to a video editor and made this animation. Literally jaw-dropping.
- I used Claude to port an open-source game engine (MW2’s IW4L, written in Rust) to iPhone. Here’s what worked and what didn’t
- Anthropic's official agent skills guide. 6 insights
- Anyone upgrade to Max for a month, when on Annual Pro?
- Opus, Sonnet, Fable, Astra, and Sol made the same landing page, and two pairs came up with the same brand name
- Weekly Self Promotion Thread
- Im tired of reviewing code nobody actually wrote
- I’m curious about the top 0.1% and the top 0.01%
- How is your team standardizing AI coding workflows across repos?
- Reviewing agent code killed my love for programming
- AI coding tools solved writing code and replaced it with reading walls of text
- I tested 20+ ways to make a cheap coding model act like an expensive one. Here's what worked and what didn't
- Your agents write PRs faster than anyone can review them. What does your review setup look like?
- sonnet 5.5 finally got my ui past the prototype stage
- Ideas for the hobbyist and usage FOMO?
- Should I revisit an interactive visualization tool I started building last year?
- Best gpt model for Roblox studio + blender?
- What AI coding tools work well for native Windows desktop development and GUI debugging?
- Ponytail has 150k+ stars!! Is it actually that good??
- Weekly Hiring Thread
- (Almost) autonomous system for development
- the agents can die; the work survives; this was useful on a real production system; please try to break it.
- What are you using for a shared, agent-native knowledge base across your team?
- The Better the Operator, the Better the Agent
- Built n8n workflows + RAG agents, 0 paying clients. What would you do in my position?
- Which AI tool did you stop using after the initial excitement wore off?
- Beginner level questions
- Bit late but i just built my first Agent
- glowup: a mod that makes Claude Code look nicer
- Really glad my first job made me read other people's code
- I’m trying to learn AI Agents, but I’m getting really confused. How should I approach it?
- How do people actually build their own AI Agency??
- How are you using AI to research something before you act on it? Here's the workflow I built.
- An agent got stuck in a loop and burned $4,700 of a customer's budget overnight
- AI agents see your whole disk??
- Anyone else hitting a maintanence wall after building few lowcode agents?
- My autonomous agent watched every new token on Base for 4 days. It found a scam factory: 897 out of 897 tokens were rugged. Here's what I learned running it.
- Open-source setup needed 22 services just to run. Now the default is three containers.
- Is anyone letting their agents work with agents they didn't build?
- I built a root-cause tool with Claude Code, then built a validator to catch the LLM inside it when it's confidently wrong. Honest numbers: 60% / 20%
- Small businesses are getting quoted 30k for AI agents that should cost 5k
- How do you review proposed agent behavior changes after an eval finds a problem?
- Our agent had a hard rule: never rewrite anything in the ERP. The reason had nothing to do with AI.
- GPT-6.1 Astra Delay
- Have any of you actually made a single extra dollar from AI usage?
- My Dot burns 1.6B tokens a day on since day one on a 100$ subscription.
- When both AIs are cooking and you’re just there for moderation
- OpenAI stole $1400 from me, be careful, they take all funds after 1 year
- What do you mean?
- We’re still far from AGI 💔
- I Used OpenAI Dots as an agent swarm to break a 47 year old math record, for free (with Lean verification of the proof)
- OpenAI Is Pissing Off a Bunch of Mathematicians—Again
- Well that’s new….
- During this ai era lots of people rather create their own apps instead of searching for solutions. So where do you think this will lead us to?
- Lauren/Poteto(SpaceX) agreed with us
- So i guess we have lifetime usage tracking now.....
- Ghatgpt DOT has limits
- Reset or new feature tomorrow!?
- 50% more speed!?
- OpenAI IPO?
- made a drop in proxy that kills runaway agent loops before they drain your openai bill
- In honor of space week, I present to you SOL.
- Transformers vs RNNs vs SSMs: Where Does Memory Actually Live? [D]
- Learning to Learn a Language: in-context learning of natural language from a synthetic non-linguistic prior [R]
- Embedding Every Font with Neural Networks makes some Nice Structures (including a flower) [P]
- SWE-Race: a coding-agent benchmark of 188 real concurrency bugs, with results from three models [P]
- I have trained a model to predict my blood sugar (Part 2) [P]
- NeurIPS 2026 Financial Assistance [D]
- A chunking lib in Rust that is ~20x faster [P]
- Distilling Stockfish on a Billion Positions, Full 3.9B Dataset Available [P]
- Sona: one transformer replaced our 15+ candidate generators, pre-ranker and ranker in an A/B test [R]
- Withdrawing an accepted paper before camera-ready due to zero funding? (ACML 2026 / OpenReview) [D]
- Language barrier, shadier terms and jargon fog [D]
- Has anybody noticed that the problem of machine translation has been, like, solved?
- Princeton researchers train a 4B LLM to reach 2700 Elo in chess (with no signs of a plateau when they stopped training) and can explain its moves accurately. They say the training technique can also be applied to other games, robotics, and computer use
- Muse help us
- Chances of AI replacing radiologists?
- Capcom announces plans to transform the RE Engine into an AI-generation game engine — ‘Our goal is a future where we create games together with AI’
- Offset 3 years of heavy AI use with 1 month diet change
- Finished a CPD-accredited AI mastery program — here are the 5 things actually worth knowing
- A multi-agent pipeline's biggest failure mode isn't any single agent being wrong, it's two correct agents disagreeing about what "done" means
- AI helps decode a 217-year-old message sent on Napoleon’s orders
- Could AI-assisted nanorobotics be injeceted into the bloodstream and used to kill cancer cells in the future?
- Super Intelligence achievements
- People don't Google anymore. They ask AI. And AI doesn't know I exist
- Is there a chance we may not actually achieve ASI that radically changes society?
- Where does sim-to-real transfer actually work reliably right now?
- Ready To Sketch Your Prompts?
- What makes human oversight meaningful in AI-assisted decisions?
- I built an app where you ask about any moment in history and it turns it into a fully researched podcast you can interrupt
- OpenAI, Anthropic tell Australia they would welcome data breach rules
- Why can an AI give you a great answer one minute and struggle with a much simpler task the next?
- EVIDENZINTELLIGENZ • EIN QUELLENNAME KANN SICH ÄNDERN, OHNE DASS DIE ZUGGRUNDELIEGENDE EVIDENZ SICH ÄNDERT
- AI makes everything faster. Are we ready for the pressure that creates?
- Scrimshaw Jukebox
- Quoting Felix Rieseberg
- Willow Knowledge
- Kishi Notch
- Rill Browser
- Appto
- Brnch
- ruOS
- Customer Service AI for Etsy
- Review
- OrgComputers
- StayCharted
- Floani
- Extrovert
- EasyCut
- CodeCrab
- Cosmic AI Support Agent
- Scumble
- iphone-use
- Chunk
- Lecta
- crosswalk
- Marv
- Jarq
- From Hermes to Grok Bot
- Ask HN: Anybody else enjoying Cursor's native (xAI) models?
- Grok Voice tops new benchmark
- Why Grok Bot and Instinct Matter
- DeepSeek Tried to Paint–and Hit a Wall
- Grok Bot (is really good)
- DeepSeek Builds for Huawei Ascend
- The 'DeepSeek of the West' finally has a model - The Rundown AI
- DeepSeek nears $12B Tencent-backed funding round - Seeking Alpha
- What happens when Chinese artificial intelligence goes rogue? - The Japan Times
- AI Completes Work, But Does Achievement Fade? - 조선일보
- The 552B DeepSeek V4.1-Flash Model Offers A Peak Output Of 494 Tokens/Second When Powered By An At-Home Rig Spanning 4x NVIDIA DGX Spark Units - Wccftech
- DeepSeek Harness challenges Agent lock-in with Claude Code Mods bridge and open plugin architecture - digitimes
- Elon Musk Grok AI Predicts Outlandish Target for Bitcoin Cash by 2027 - 99Bitcoins
- Windows malware uses Grok AI to help stay hidden, researchers say - Fox News
- SpaceX and xAI’s Push Toward 10 GW: The Supply Chains and Geopolitics Behind AI Infrastructure - semivision
- Dropbox Enhances Workflow with Grok Bot’s Contextual AI Integration - Small Business Trends
- GPT-6 Luna vs Sonnet 5.5 vs Grok 4.7: 20x Price Gap [2026] - tech-insider.org
- Trump Forms Super Intelligence Force as Reports Detail Grok’s Role in White House Decisions - AI Insider
- Mathematics Is About to "Graduate": xAI Co-Founder Declares Its 2000-Year Heroic History Has Come to a Complete End - 36Kr
- Grok Left ChatGPT Far Behind On Coinbase With Nearly 60% Of AI Agent Volume - Yellow.com
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