AI News Digest 2026-10-17
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- Anthropic gives METR inside access to audit its AI models and safety practices
- Muse Spark Open is Meta's answer to Qwen, GLM, and Kimi in the open-weight race
- NVIDIA Nemotron 3.5 Super VL Powers Specialized Agents with Multimodal Reasoning
- Black Forest Labs' open-weights image model FLUX 3 Image Klein runs on consumer GPUs with just 8 GB of VRAM
- Meet Grok Voice 3.0: SpaceXAI Voice Agent Model Ranks #1 on Artificial Analysis
- Elon Musk is promising to “make you whole” if Grok messes up a purchase or leaks your credit card. - The Verge
- Elon Musk uses Grok to buy Lego, then a YouTuber says Lego's AI bot let him cancel it - The Cool Down
- DeepSeek suffers another major outage as company offers user refunds - South China Morning Post
- China plans to tighten export controls on open-weight models and 23 key AI technologies
- Accenture restricts monthly employee spending on Claude to $29/month
- AI containment bingo, oct 2026 edition. this week alone already crossed off 7 squares. how many do you have?
- Having trouble with specific nonperformance and deception
- tencent’s AI agents tried 2,818 times to find a zoo entrance
- OpenAI's new Rosalind Academic Plan gives research labs up to 30 free seats for a year
- An Nvidia insider-turned-VC on why robotics hasn’t hit its ChatGPT moment, yet
- Welcome Beam: a 501B open model you can own, customize, and scale
- Microsoft MAI-Base-2: 2.8T Params, 12x DeepSeek Gain [2026] - https://tech-insider.org/
- 90% of US working hours are spent on tasks not covered well by AI benchmarks
- US Rep Announces Congressional Legislation to Protect Video Game Ownership
- Postgres 19 delayed after AI reviewers find more bugs than humans can fix
- Big Fish: Exploiting a 37-Year-Old Kernel Bug in OpenBSD
- Show HN: Gemini 4 Argon plays StarCraft
- Apple ML Research: Muse Spark Open with MLX on Mac Studio
- I Love Software Rendering
- v2.1.301
- v1.19.3
- v1.19.2
- pr-56106-video (pre-release)
- v1.19.1
- Teaching students to think and learn through questions
- Sullivan & Cromwell brings legal expertise into agreement review
- Grounding AI agents in biological reality: Building blocks for autonomous wet labs
- Proof-based general-purpose computing with Magnetar
- Scaling Indic Pretraining: 2.8 Trillion Tokens and an Open Data Generation Pipeline
- Granite Switch 4.1: Chat, Decisions, and Speech from One Endpoint
- The next developer interface is ambient intelligence
- Staying Evergreen: How we automated secure access and repo hygiene in a shared org
- Continuous accountability for Verified bots
- A fully programmable secure web gateway
- Deploy with Void
- Cloudflare and OpenAI: Making AI discovery better for everyone
- How Meta Built Forum With AI-Native Engineering
- 2026 World Cup: Breaking Records, Spiky Charts and Reliability at Scale
- Sapienz Receives ISSTA 2026 Impact Paper Award
- Junie Local Comes to the NVIDIA RTX Spark
- Google Summer of Code 2026 With the Kotlin Foundation: Recap
- IntelliJ IDEA’s Java and Kotlin for Cursor and VS Code Hits 1.0
- How Netflix Made AI Coding Agents More Efficient with JetBrains IDE Intelligence
- MPS 2026.2 Release Candidate Available
- What Makes a Great KotlinConf Proposal?
- From Containers to Sandboxes: Developer Trust in the Agentic Era
- Code, Test, and Deploy on One Machine with NVIDIA RTX Spark
- Scale Agentic Coding Workflows with Meta’s Muse Spark Open on NVIDIA GB300 NVL72
- Optimizing Agent Reliability and Tool Calling Efficiency for Chip Design Using NVIDIA NeMo Gym
- How to Rewrite Apache Spark UDFs for GPU Acceleration with AI Agents
- NVIDIA Run:ai Is Now Open Source as Part of NVIDIA DSX AI Factory Platform
- ReplaySSM: Rethinking State Storage for Faster Hybrid-Model Decoding
- 5 Steps to Create SimReady Assets for Robotics with Frontier AI Models
- Building Reliable Data Analytics Agents: Lessons from the KDD Cup
- The Machines that Make the Machines
- Validate AI Factory Changes with Digital Twins and AI Agents
- Scaling Decision Optimization to 100 Million Variables and Beyond with mPDLP in NVIDIA cuOpt
- Faster Scientific Image Analysis with NVIDIA cuPhoton
- Scale Bitwise-Deterministic Pretraining with NVIDIA Megatron Core
- How DOCA GPUNetIO Unifies GPU-Initiated Networking Across the NVIDIA Software Stack
- AICR v1.0: Open, stable, and verifiable GPU cluster configuration
- Control How Your GPU Shares Work with Green Contexts
- Build Applications on NVIDIA BlueField Faster with NVIDIA DOCA Agent Skills
- Build Local AI Apps with C++ and NVIDIA TensorRT RTX Samples
- Fine-Tuning NVIDIA Nemotron for Saudi Arabic Dialects, with a Path to Other Languages
- Deploying an HSTU Generative Recommender with NVIDIA Dynamo-Triton
- Expanding AI Storage Access with NVIDIA cuObject and the NVIDIA SCADA Server SDK
- Tracing Agent Harness Behavior with NVIDIA NeMo Relay
- AI Native by Design: Lessons Learned from Building NVIDIA TensorRT Model Connect
- Lower the Cost of Building and Running Visual AI Agents with NVIDIA VSS Blueprint 3.3
- NVIDIA Open Agent Safety Platform: A Reference for Continuous In-Silicon Agent Monitoring
- Add Runtime Controls to AI Agents with NVIDIA OpenShell
- How NVIDIA DSX MaxLPS Maximizes AI Factory Throughput and Efficiency
- Efficient MoE Training for Biological Foundation Models
- Introducing NV-Reason-CT Open 3D CT VLM for Radiologist Chain-of-Thought Reasoning
- Validate GPU Cluster Readiness Before AI Workloads Land
- Manage Kubernetes Node Fleets with NodeWright
- Meta may use sweeping new commercial TOS to avoid millions in AI licensing fees
- Super Scam Me documentary shows what it takes to catch a romance scammer
- Report: FTC probes Anthropic, OpenAI after Trump dismissed AI fears as “hoax”
- Singer or clanker? YouTube Music will tell you with new gen AI labeling.
- India becomes the latest country to report rogue AI agent activity
- Elorian’s first AI model wants to reason with images, not just about them
- Jev is Vercel’s fastest-adopted AI model ever
- Mark Wahlberg on using AI in film ‘the right way’ and being open to an AI clone carrying on his legacy
- Veritas expands its anti-counterfeit chip to jewelry, trophies, and fragrance bottles
- Replit’s CEO says the future of work is the ‘self-driving company’
- When it came to Cal AI’s viral success, a small army of influencers paid off
- Amazon devices chief Panos Panay sees a future where AI devices replace the need to use apps
- Bluesky expands its AI-powered Attie app to let anyone build websites, games, and more
- Last chance to save up to $200 on your TechCrunch Founder Summit pass: Early booking ends October 16
- AI agents are coming to Rivian’s cars
- Google’s Universal Cart shopping tool launches in the US
- TechCrunch Disrupt 2026: Last day
- Amazon’s Bee launches two new personal AI devices, starting at $75
- Figma announces new features to define how agents work on its platform
- Ricursive Intelligence is betting on AI-designed chips to help solve the compute crisis
- A week with RTX Spark: everything we’ve learned using Nvidia’s new laptops
- Meta’s new terms may allow it to train AI on news sites for free
- ChatGPT can peek at your Chrome tabs now
- Sega pulls Total War: Shogun 2 remaster from sale following disastrous launch
- The tech backlash is now in theaters
- Trump posts AI-edited photo to brag about White House restoration work
- Bluesky’s AI tool now lets you make games and apps to share on social
- Friends don’t let friends feed their data to AI agents
- How Windows is being optimized for Nvidia’s RTX Spark laptops
- Google EnvHarness Enables Self-Evolving Agents to Learn in Dynamics Environments
- AI in Production: Panellists Highlight Silent Failures, Harness Engineering, and Agent Governance
- Grafana Applies SLOs and Error Budgets to AI Agent Behaviour
- Mini book: Evolutionary Architecture in Practice
- Presentation: Exploding GPUs
- AWS Introduces Strands Decider 2B and Strands Box for AI Agent Development
- Microsoft Commits Maia to Multi-Gigawatt Inference, and Its Efficiency Metric Draws Questions
- Presentation: What 25 Trillion Tokens Reveal About How Developers Actually Adopt AI Agents
- ChatGPT becomes a full Chrome browser assistant that reads and acts on your open tabs
- Google's Gemini 4 Argon is closer to the AI frontier than any Google model in months
- Is AI interpretability close to a breakthrough? A new essay has researchers divided
- Google wants Gemini 4 Argon to be the only AI model robots need
- GitHub、コードスキャン修正のエージェントを一般提供 CodeQLで再検証
- GitHub、プルリクエストのAI Scanを一般提供 CodeQL対象外も検査
- Vercel、Python実行を一般提供 FastAPIやDjangoを自動で載せる
- VS Code 1.142、エージェントと共有するCanvasをプレビュー公開
- Claude Code Desktop、大きなHTMLの自動プレビューでファイルを読めた
- Google、文書検証エージェントDeep Reviewを一般公開
- Thesys、生成UI言語OpenUI Lang 1.0を公開 独自関数・独自アクションとlibrary.extendを追加
- Figma、Config Indiaでcode layersをオープンベータに コード裏付けのプロトタイプをキャンバス上で作成、Markdownの新機能Specsも
- Vercel Sandboxの100万ドル脱出チャレンジ、LinuxカーネルにKVM脱出の重大欠陥 CVE-2026-99999は安定版で修正
- Cloudflare、VoidZeroのVoidをオープンソース化 Viteアプリをフルスタック化してWorkersへ1コマンドでデプロイ
- AnitaB.org、今年のGrace Hopper Celebrationを資金不足で中止
- 米ソフトウェア開発の求人は増加、伸びはシニアとAI職に偏る
- Intel、推論向けGPU Dシリーズのメモリと性能をOCPで提示
- Cloudflare、エージェントのブラウザセッションをターン間で維持
- Linux vhostの欠陥Vghost、ローカルrootとVM脱出の詳細が公開
- GitLab、CI設定の正規表現経由で未認証RCEとなる欠陥を修正
- Shopify、Hydrogenをフレームワーク非依存のライブラリとして一般提供
- Mozilla、自社インフラで管理するFirefox Enterpriseを公開
- Next.js、未認証RCE2件とServer ActionsのDoSを修正
- Liquid AI Releases d1-ultra: A Multimodal Decision Model That Scores 65 on the AA Decision Index
- CopilotKit Releases CLiF: A Continual Learning Platform That Turns Agent Traces and User Actions into Skills, Evals, and Fine-Tuning Data
- openKylin Outlines Its Vision for Reimagining Linux in the AI Era at Open Source Summit Europe 2026
- TypeSafe AI Releases Jev 1.14 With Images, Box Type and 262k Context
- The World Won't Wait: Evaluating and Teaching Agents Under a Live Clock
- Evaluating Model Capabilities After Benchmark Saturation
- Value-Informed Schedule Trimming for Accelerated Sequential Monte Carlo Guidance in Discrete Diffusion
- AlphaDiana: A Measurement System for Agents in Verifiable Reasoning Tasks
- When Correctness Feedback Erases Evidence: Phase-Separated Completeness Auditing in Verus
- Counterfactual Neighborhood Risk Fields: Evidence-Grounded Selective Safety for Vision-Language Models
- IneqAgent: Agentic Inequality Proving in Lean with Symbolic Computation
- L2G-SR: Learning to Guide LLM-based Symbolic Regression
- When Reality Outpaces Cognition: A New Scaling Principle for Reliable Intelligence
- ARIA: Runtime Inspection and Amendment for Multi-Agent Systems
- Open-world AI: a Tale of Three Requirements
- EvolvingBrain: An Adaptive Skill System for Multi-modal Agents Self-Evolution in Open Worlds
- When Reasoning Traces Conflict with Evidence: How Answer Configuration Shapes Evidence Following
- A Self-Improving Agent that Grows its Own DSL: Oracle-Free Operator Induction for Exact Question Answering
- Temporal Specification Guidance for Text-to-Video Generation
- Confidence-Calibrated Inference Expansion for Evaluator-Guided Test-Time Reasoning
- Evolving Together, Failing Apart: The Skill-Policy Co-evolution Trap in Self-Improving Agents
- Anticipatory Commonsense with Moving Objects: An ASP-Based Framework for Predictive Reasoning with Interacting Trajectories
- A Multi-Tiered AI Accessibility Model (MAIAM): Proportionate Access and Capability Limits for Comprehensive Frontier AI Safety
- Defining and Generating Compositional Structure
- SkillNEO: Non-Elitist Evolutionary Optimization of Agent Skills
- RAC: A Relational Agent Contract for Constraint-Governed Engineering Tasks
- MAI-Gym: An Open All-in-One Platform for GUI Agent Evaluation and RL Training across Mobile and Computer Environments
- LEV: Thinking Fast and Deep with Looped Decision Models
- StepSafe: Learning Timely Intervention with Context-Aware Safety Reasoning
- MSP: Modality Self-Play for Training Multimodal LLMs Without Paired Cross-Modal Data
- Deep Reinforcement Learning for HPC Job Scheduling: A Statistical Evaluation
- Failure Is the Mother of Success: Recovering Supervision with Grounding Hindsight
- Recursive Reward Improvement via Adversarial Meta-Prompt Evolution
- Learning When to Withdraw: Curriculum Coverage and Rule-Specific Failures in Fine-Tuned Language Agents
- Athanor: An Agent-Native System for Autonomous Post-Training Research
- OmicsBench: a long-horizon multi-turn benchmark of AI agents on research-study-scale bioinformatics
- Sci$\Pi$vot: Benchmarking Principal-Investigator Judgment at Pivotal Moments of Scientific AutoResearch Agents
- Probe-and-Resume: When and How to Evaluate Agent Execution
- MemComposer: Learning to Assemble Memories for LLM Agents via Reinforcement Learning
- Planning Commitment of LLM under Partial Observability
- Kolab: Benchmarking Human-Agent Collaboration in Long-Horizon Workflows
- CleanRM: Reward Modeling from Noisy Feedback with a Few Clean Feedback for RLHF
- All-in-One Memory: Process-Rewarded Reinforcement Learning for Memory Agents
- GRADS: Graph-Regulated Agentic Data Synthesis with Controllable Difficulty
- MemScope: Evolving Agent Memory Architectures through Localized Code Repair
- AgentEval: Evidence-Bounded Assessment of Stateful Agents
- Does Latent Chain-of-Thought Actually Reason? A Single, Unifying Taxonomy for Latent Reasoning
- Mine, Sample, Render: Test-Time Diversity Alignment Of Generative Models
- Condition-Contrastive Extrapolation for On-Policy Distillation of Language Models
- Who May Release an Agent's Promise? Standing over Commitments in Multi-Party Chat
- Entertain, then Cancel: How Thinking Makes Reasoning Models Read Some and Or Literally
- Rubric Judgments Lack Uncertainty: Conformal Weighting for LLM Evaluation
- AutoOnboarder: Autonomously Onboarding LLM Agents
- Auditing Escalation Reliability in Healthcare LLM Agents: A Perturbation-Controlled Benchmark of Workflow-State Failures
- Diviner: Agentic RCA with Human-Governed Adaptation for Large-Scale Infrastructure
- Mallea: Building, Steering, and Memorizing Worlds with Coding Agent
- The Density of Thought: Predicting and Steering Reasoning in Large Language Models
- Bias Control and Injection for Multi-Agent Aggregation
- Money-Mule Detection as a Relational Learning Problem: A Study on the RBIH NFPC Dataset
- Constrained Multi-Agent Reinforcement Learning in Imagination
- DocPilot: Interactive Agent Orchestration and Training for Long Visual Document Understanding
- Quantum Versus Classical Machine Learning for Neuropsychiatric Disorders: A Feature-Matched Multi-Cohort Evaluation
- ARGUS: An Agenda-Driven Framework for Reliable User Simulation
- FedSkillGit: Federated Skill Evolution via Version Control
- Hierarchical Graph Convolutional Network Approach for Detecting Low-Quality Documents
- Learning to Reason with Selective Internal Feedback
- Self-Guided LLM Reasoning for Error Diagnosis in Vehicle Routing Problems
- Watts If? A Benchmark for Counterfactual Reasoning About the AI Data Center Buildout
- MemCut: Every Secret Leaves a Trail in the Long-Term Memory of LLM Agents
- Jev-LiteMAS: Separating Decisions from Generation in Multi-Agent Workflows
- JevAgentHarness: Benchmarking, Deploying and Training Decision Models That Share Control with LLMs
- Do Agents Need a New Kind of Paper? SPRA: Structured Paper Representation for Agents
- Learning from Interaction Experience via Localized Context Distillation
- Incentivizing Tool-Use Reinforcement Learning for Post-Arrival Emergency Care Prediction
- Ontology Refinement with Embeddings and LLMs: A Case Study on CASTON
- Tool-Augmented Large Language Models for Reliable Medical Calculation from Patient Notes
- AI-Driven Disaster Response and Displacement Monitoring
- FlashAttention with Statistics: Low-Overhead Attention Features for Compact Hallucination Detectors
- MetaExp: Learning to Self-Improve through Experience via Verifiable Cross-Task Environment Scaling
- ISW-Agent: Integrating LLM-Driven Dialogue with n8n Workflow for Internal Solitary Wave Remote Sensing Image Processing
- Decomposing Brain-LLM Alignment with Interpretable Semantic Representations
- QREF: Improving DeepSearch Agents by Aligning Search with Reasoning via Query Refinement and Evidence Filtering
- SCRIBE: Scalable Contextual Representations of Interpretable Brain-Grounded Semantics
- CriticaLLM: Using LLMs as Autonomous Game Master for Tabletop Role-Playing Games
- Functional Subnetwork Localization for Efficient Continual Learning in Large Language Models
- Agent Status Protocol (ASP): A Lightweight Specification for State Reporting in Multi-Agent Systems
- Reinforcement Learning-driven Diffusion Models: Language, Vision, and Beyond
- ClaimScope: Label-Blind Witness Verification for Mathematical Claim Auditing
- LOADBench: A Large Open Analog Dataset and Benchmark for Machine Learning in IC Design
- LoopAhead: Speculating Ahead for Faster Decoding in Looped Language Models
- Evaluating Inquiry Learning in LLM-Based Agents: Hypothesizing, Reasoning, and Exploration
- Learning Intrinsic Dynamics in Latent World Models
- AgentPerturb: Evaluating LLM Agent Robustness under Controlled Interaction Perturbations
- The Self-Improvement Problem
- Data World: Scaling Data Environments from Scratch
- In-Context Preference-Conditioned Pareto Set Learning from Limited Offline Data
- DeciCAD: Harness-Grounded Learning of Action Policies for CAD Agents
- From Research Goals to Scientific Closure: Evaluating Agents Through Evidence-Supported Physics Research
- RSIFlow: Adaptive Self-Improvement Workflows with an Evolving Meta-Agent
- Co2In: a Bi-level Memory Incremental Learning Framework with Knowledge Encoding, Consolidation, and Integration
- CIM-Embed: Learning Instruction-Conditioned Multimodal Embeddings for Clustering
- RoleQ: Role-Aligned Scales for Converting Language Models to Ternary
- CoWorld Reasoner: Agentic Multimodal Reasoning with the Evolving Video World Model-Driven Harness
- OntoAct: Hypothesis-Based Neuro-Symbolic Agents through Ontological Abstraction
- CARA: Causally Guided Retrieval Agent for Question Answering
- GraphACM: Graph-based Action Consistency Measurement for Uncertainty Quantification in LLM Agents
- Progress Reward Model for Reinforcement Learning via Large Language Models
- FAOPs: Normal Forms and an Algebra for AI Agent Workflows
- Prism-1: Position- and Rival-Independent Scoring for System One Models
- When Reasoning Is Not Enough: Proactive Inquiry for Cross-Modal Safety in Multimodal Large Language Models
- Learning from Unverified Peers via Shared Residual Distillation
- PROBE: Learning to Audit Policy Compliance in Tool-Using LLM Agents
- DropKV: Decoupling Residual-Output Perturbation for Near-Optimal KV-Cache Eviction
- CART: Compatible Routing for Multimodal Continual Instruction Tuning
- Believed but Not Said: Measuring Hidden Belief Collapse in Multi-Agent LLM Discussions
- Are You Sure Your LLM Is Sure? Repairing and Auditing Confidence
- RAG-RST: Retrieved Exemplars as In-Context Discourse Schema for RST Parsing
- Realtime-Bench: Can Frontier Models Solve Real-time Interactive Problems?
- Multi-sourced AI Tutor for Non-Native English Speaker Students
- Terminal-RSI: Recursive Self-Improving Terminal Agents via Recursive Self-Rewrite and Policy-Refine
- AutoSFT: An Agentic System for Automated Data Research in Supervised Fine-Tuning
- HTN-Orchestrate: A Hierarchical Task Network Framework for Multi-Agent Orchestration
- GNN-Guided Local Refinement for Efficient Layout Decomposition with DSA-MP
- Shortcut Sensitivity in Agent-Safety Evaluations
- Disagreement-Guided Weak-to-Strong Routing
- X-RIC: An Agentic RAN-Intelligent Controller Benchmark for Enhancing Reinforcement Learning
- LEASH: Uncertainty-Aware Weak-to-Strong Escalation and Oversight for Computer-Use Agents
- Improving Environment-Agnostic Coding Agents: The Role of Scaffolding
- EliteReplay: Preserving Diverse Solutions in RL Post-Training via Quality-Diversity Search
- Private Retrieval Augmented Generation via Random Projection
- A team of Gemini 4 Argon agents beats Minecraft
- Designing Transformers for Continuous Diffusion Language Models
- KnowGPO: Knowledge-Grouped Policy Optimization for Search Agents
- Evaluation Awareness Beyond English: Do LLMs Act Differently When Tested in Indic Languages?
- MLExpert: Towards a Generalist Agentic Model for Autonomous Machine Learning Engineering
- FDE-Gym: The Last Mile of AI Delivery
- KULTURE Bench: A Benchmark for Assessing Language Model in Korean Cultural Context
- Active Learning of Fractional-Order Viscoelastic Model Parameters for Realistic Haptic Rendering
- One Is Not Enough: How People Use Multiple AI Models in Everyday Life
- Bridging the Gap: Converting Read Text to Conversational Dialogue
- Truth for Believable AI: Expressed Doubt, Provenance, and Belief Revision as an Engineerable Stance
- RICE-Alpha: Reliability-Informed Correction with Event Graphs for LLM-Agent Stock Forecasting
- Real-time Chatbot Romance Scam Detection in Stage Classification
- Exploring the Design Space of Permutation Diffusion LLMs
- CoTS: Competitive Token Selection for Latent Reasoning in Large Language Models
- Open Benchmark of AI Impact on Humans (ImpactBench): an expert-guided, open platform for the holistic evaluation of AI impact on humans
- WorldCast: Exploring Intelligent Visual Generation in World State Prediction
- Interpreting Language Model Parameters
- Optimal Hydra: Model Heterogeneous Federated Learning for LLMs using Data-Informed Hydra-Nets
- Reference-Guided Turn-Taking Style Transfer for Full-Duplex Spoken Language Models
- INFUSE: A Unified Surface Benchmark for Indirect Prompt Injection in Agentic Systems
- Verdict: Encode Once, Decide Many
- ReasonUni: Reasoning-Augmented Reconstruction Advances Unified Multimodal Models
- Wolof-Adapted Industry-Ready Open-Weight Language Models
- CoTranslator: Reverse to Forward Chain-of-Thought Translator for Reasoning Distillation
- Amortizing Sequential Experimental Design in Reasoning LLMs
- Probing Negation Understanding in Vision-Language Models With Object Attention
- SHRED: Self-Play for Heterogeneous Road-Users without Expert Demonstrations
- Wrong Votes, Right Gradients: Why Majority-Vote Rewards Track Verifiable RL
- TGrasp6D: Task-Informed Vision-Language Priors and Pose Refinement enable Zero-Shot Task-Oriented 6DoF Grasping
- Replicable Dueling Bandits
- Forecast lead time and the timing of crew deployment for weather-driven power outages using AI weather models
- Screwtape: Adversarial Transcript Editing for Monitor Red-Teaming
- Same Context, Different Agents: A Behavioral Study of Semantic Layers, Orchestration and Compaction in Data Agents
- SOMA: Stack-of-Objects Manipulation using a Quadruped Robot
- How to Train Your Little Dragon: Teaching a Small Language Model to Construct and Refine GPU Optimization Scripts
- EigDiff: Eigensample Diffusion - or how to significantly reduce training dataset size with marginal performance variation?
- Learning to Read Out: Unembedding Dynamics in Language Model Pretraining
- SCARCE: Emergent Institutions in Long-Horizon Multi-Agent Coding Systems
- ReviewPilot: A Multi-Agent System for Screening and Data Extraction in Systematic Reviews
- PremiseCheck: Efficient Fact-Checking of Human and AI Peer Reviews
- Bellman-Consistent Trajectory RL for LLM Arithmetic Reasoning
- Approve What, Exactly? Effect Binding and Trusted Rendering for Agent Step-Up Authorization
- A Jury, Not an Electorate: Label-Free Reliability Estimation for Ensembles of Language Models
- SIEVE: Overcoming Topological Obstruction in Equivariant Self-Supervised Learning
- ToolBottleneckBench: Measuring Tool-Agent Performance under Controlled Pressures and Fixed Harness Budgets
- SSR: Structural Signal Retriever for Scalable Agent Discovery in LLM-Orchestrated Multi-Agent Systems
- DST-Net: Decomposed Spatio-Temporal Network for Time Series Forecasting
- When Judges Agree and Are Wrong: Consistency-Accuracy Dissociation as a Blind Spot for Label-Free Evaluation
- Stronger Judges Do Not See More: Deployment-Integrity Blindness in LLM Evaluation
- OnBodyAI - Why the Next AI Needs a Body
- When is a better LLM worth paying for? Stochastic Optimization with Switching Mixed-Fidelity Oracles
- CoSTA: Compressed Speech Token Adaptation for Efficient Spoken Dialogue Models
- CARE-SD: Explainable Reasoning Architecture for Local SLM Self-Disclosure Analysis in Textual Data
- Language Models Share a Readout Bottleneck in Working Memory
- Judging the Judges: Confidence and Disagreement in Rubrics as Rewards
- FedSumUp: User-Auditable Privacy-Aware Representation Sharing for Resource-Constrained Federated Intelligence
- RecSoup: Efficient Model Merging Approach for Controllable Multi-Objective Recommendation
- Representation Redistribution in Sparse Autoencoders
- A Responsibility-Centered Coordination Mechanism for Decentralized Multi-Agent Systems
- System1-Arena: Which Decisions Can Be Left to System 1?
- What do AI chatbots do after users decline therapeutic redirection for suicide thoughts?
- Fractional Power-of-Two Quantization for Efficient and Effective Multiplier-Free LLM Inference
- Behavioral Compositionality of Sparse Autoencoder Representations
- TRACER: A Multimodal Harness for Patient Care in Hospitals
- TRACER: Trajectory-Aware Tool Retrieval for LLM Agents
- Loud and Clear: Making Visual Evidence Count in Multimodal Document RAG
- Does On-Policy Distillation Need to Complete Every Rollout?
- LTM: Latent Transition Based In-Context Memory for Vision-Language-Action Models
- ESG-Kor: A Korean Dataset for ESG-related Information Extraction and Practical Use Cases
- Memorilla: Latent Semantic Memory for LLMs
- PriorityFEC: Deadline-Aware Streaming FEC for KV-Cache Handoff in Edge Multi-Agent Systems
- Matoi: Selective Revalidation of Consequence Evidence for Agent Authorization
- When do quantum views help? Complementary classical-quantum representations in multi-view fusion
- Multi-Reward Hacking: From Aggregation-Induced Drift to Trust-Anchored Defense
- Where, How, and When: Query-Guided Grounding for Video Understanding
- V-SHARE: Provable Convergence Guarantees for Advantage-based Algorithms
- X-Fly: Learning to Reach and Stop in Full-Chunk Aerial Vision-Language Navigation
- Full-Duplex Interaction with Speech, Expressions and Gestures
- Can Visual Generation Expand What Unified Multimodal Models Know?
- Trajectory-Level Speculation with Semantic Verification for Tool-Using Agents
- Can LLMs Tell Stories Out of Order? A Corpus and Benchmark for Nonlinear Narrative Generation
- Poison Valleys: Diagnosing Path-Dependent Failure in LLM Code Repair
- Hierarchical Interpretable Multitask Audio Representation Learning: An Analysis of Event-Scene Relationships through the Information Bottleneck
- When Is Muon Optimal? Radial Fragility and Minimax Geometry
- Uncertainty Quantification in Pairwise Difference Learning for Classification
- When Does Muon Actually Win? A Paired Data-, Time-, and Tuning-Budget Benchmark
- DialFork: Going Beyond Factuality to Evaluate Procedural Hallucination in Conversational Agents
- BiShield-TEE: On the (In-)Security of Unilateral Weight Obfuscation in On-Device TEE-Shielded LLM Partition
- Independent Data-Integrity Verification for LLM-Driven Functional Coverage Closure in Hardware Design
- Rethinking the Role of Tool Graph Memory in Multi-Turn Tool Use
- Learning to Search for Executable Patternmaking from Certified Programs
- AVALON: Zero-Shot Indoor Navigation with Human-Seeded Topological Memory
- Decoding What iOS Location Services Send to Apple: An LLM Is an Unreliable Analyst but a Useful Toolmaker
- Qwen-Audio-Jev: A Unified Interface for Audio Decisions
- Efficient Pairwise Difference Learning: A Comparative Study of Encoding Strategies and Training Pair Selection
- Router Drift Control: Mitigating Off-Policy Degradation in Mixture-of-Experts Reinforcement Learning
- Human Interventions as Labels: Localizing, Steering, and (Sometimes) Editing the Computations Behind LLM Agent Failures
- Encoded but Exposed: Language Embeddings can Reveal More Than They Should in Recommender Systems
- FIRM: Fisher-Informed Retention Merging for Federated LLM Unlearning
- Retrieved but Not Read: Understanding Why Search-Augmented LLMs Fail to Use Available Evidence
- Reliable Knowledge Acquisition for Continual Learning Agents
- The Delegation Dilemma: Economies of Scale, Accountability, and Polycentric Governance
- Harmful Partial Interventions and Benign Leakage in Concept-based Models
- CF-AVSS: A Coarse-to-Fine Audio-Visual Speech Separation Framework with Target-Speaker Refinement and Post-Fusion for Real-World AVSE Challenge
- DINO-FIL: Multi-Layer Transformer Fusion for Generative Inpainting Forgery Localization
- In the Guise of Correction: How Framing and Cultural Adaptation Erode LLM Safety on Real-World Criminal Cases
- Cross-Embodiment Causal Transfer from Human Videos to Robot Manipulation
- Provably Efficient Risk-Sensitive Offline Reinforcement Learning via Optimized Certainty Equivalents
- Anvil: Scaling Embodied Spatial Intelligence through Knowledge Recirculation
- In-Context Learning Before Specialisation: Theory of Learning in a Solvable Topic Model
- Learning Rewards in Strategic Games
- CodeHealth Predicts the Token Cost of Agentic Code Review: A Pre-Registered Study of 465 Agent-Authored Pull Requests
- BridgeAfford: Bridging Query-Target Gap for Generalizable 3D Affordance Grounding
- Agentic-Priors: Using Large Language Models to Address the Cold Start Problem in Preference Elicitation
- Following Delegation Traces to Study Human Oversight in Interaction with Multimodal AI
- Why Shallow Neural Networks Learn Sinusoidal Components First: An Orthogonal Polynomial Dynamics Framework
- Time to Fake It: Continual Machine Learning Intensifies Unfairness in Deepfake Detection
- GraphBEAT: Graph-based Bucketized Event Aggregation Over Time for Early Risk Stratification of Gastrointestinal Cancers
- Priming Base Models for Agentic Post-Training: An Open Midtraining Recipe
- DemoStream: Batched Task-and-Motion-Plan Optimization for Automated Learning from Demonstration
- Selection Is Not Learning: Choosing Model Futures
- Momentum, Commentary Tone, and Earnings Surprise in LLM Financial Forecasts
- Decoding Naturalistic Speech from fMRI with Temporal Modeling and Multimodal Alignment
- Memory as Weights: Internalizing Long-Term History for Streaming Videos
- Multi-SFT: Permissively-Licensed Multilingual Instruction-Following
- TIPS: A Tiny Inference-time Policy for Scaling in Diffusion Language Models
- Causal Integrated Gradients: Scalable Feature Attribution Along Causal Paths
- Explaining the Roles of Experts in Mixture-of-Experts LLMs for Personalization
- Specification Gaming and a Constrained Reinforcement Learning Mitigation in a Cleaning Gridworld
- EMO: A Closed-Loop Test-Time Computation Framework via Alternating Context Optimization and Logits Steering
- Mosaic: Multi-Session Agentic Reinforcement Learning
- Motion- and Gravity-Aware Feedforward 3D Reconstruction
- Whole-Body Dexterity
- Change the Number, Change the Answer: Assessing Rating Scale Sensitivity in LLM-Based Text Scoring
- Decentralized LLM Workflows via Sequential Auctions
- Beyond Downstream QA: Rethinking How We Evaluate Agent Memory
- TRACE: Topology-Aware Reconnection via Prediction-Adaptive Connectivity Enforcement for Thin-Structure Segmentation
- Skill-Decoupled On-Policy Expert Distillation for Unified Vision-Language Models
- OS-Helix: Unifying GUI Interaction and Code Execution in Native Computer-Using Agents
- Training-Free On-Policy Distillation
- Language Is a Security Surface for Agent Guards
- Librarian Agents: Training LLMs to Curate Long-Context Workspaces that Anticipate Future Queries
- Asking Smarter Questions: Targeted Active Preference Learning for Underspecified Rewards
- Towards Continual Learning: Mitigating Forgetting With Subspace Tuning
- AI Consilium: a Benchmark of LLM Clinical Multidisciplinary Second Opinions
- Knowledge That Is Linear Before Fine-Tuning Generalizes After It
- Learning to Steer LLM Agents and Multi-Agent Systems
- AVC-Reward: Event-Centric Audio-Video Consistency Evaluation
- Learning Self-Orchestration in Decentralized Agent Swarms
- Twice Upon a Time: Complementary Representations for Time-Series Reasoning
- ACEdit: Stable Multi-Turn Image Editing via Asymmetric Conditioning
- Dexterity from Supervised Play
- 3DCodeVerse: Exploring 3D Worlds as Code
- GeoState: Learning View-Decoupled Geometry States for 3D World Modeling
- Rethinking Routing Exploration in Modern Mixture-of-Experts
- CoDA: Co-Evolution of Data Engines and Action Policies
- T2-z: Test-Time Optimization of Environment Latents for Robotic World Models
- Discovering state-of-the-art quantum circuits with large language models
- LIBERO-PeRM: Benchmarking Personalized Robotic Manipulation
- Atomic Proximal Policy Optimization for Electric Robo-Taxi Dispatch and Charger Allocation
- Generalising from Self-Produced Data: Model Training Beyond Human Constraints
- GraphCompliance: Structure-Aware Regulatory Compliance through Policy-Context Graph Alignment
- ChaosBench-Logic: A Benchmark for Logical and Symbolic Reasoning on Chaotic Dynamical Systems
- Agent Skill Framework: Perspectives on the Potential of Small to Medium Language Models in Industrial Environments
- JEPA-DNA: Grounding Genomic Foundation Models through Joint-Embedding Predictive Architectures
- WorkflowPerturb: Calibrated Stress Tests for Evaluating Multi-Agent Workflow Metrics
- BenchPreS: A Benchmark for Context-Aware Personalized Preference Selectivity of Persistent-Memory LLMs
- Towards Better Aligned LLM Judges for Radiology Report Evaluation across Modalities and Anatomies
- Language models recognize dropout and Gaussian noise applied to their activations
- Self-Programmed Execution for Language-Model Agents
- PREPING: Zero-Task Agent Memory Construction via Self-Practice
- Prospective multi-pathogen disease forecasting using autonomous LLM-guided tree search
- Generative Recursive Reasoning
- Adapting the Interface, Not the Model: Runtime Harness Adaptation for Deterministic LLM Agents
- PathCal: State-Aware Reflection-Marker Calibration for Efficient Reasoning
- Harness-Bench: Evaluating Agent Harnesses across Models and Realistic Workflows
- KACE: Knowledge-Adaptive Context Engineering for Mathematical Reasoning
- SkillDAG: Self-Evolving Typed Skill Graphs for LLM Skill Selection at Scale
- EvoFlux: Inference-Time Evolution of Executable Tool Workflows for Compact Agents
- LLM-as-an-Investigator: Evidence-First Agentic Reasoning for Robust Interactive Problem Diagnosis
- Multi-Agent Transactive Memory
- AI Alignment From Social Choice Perspectives
- TOPS: First-Principles Visual Token Pruning via Constructing Token Optimal Preservation Sets for Efficient MLLM Inference
- Measuring Harness-Induced Belief Divergence in Multi-Step LLM Agents
- Mind the Delay: Latency-aware Query Routing for Heterogeneous LLM pools
- ContinualSkillBench: Can LLM Agents Truly Evolve Their Capabilities?
- AI and Consumer Rights in India Working Paper
- When Do LLMs Apply the Wrong Law? Diagnosing LLM Failures in Temporal Legal Reasoning
- Agent Gym: A Framework for Continuous Evaluation and Evolution of LLM Agents Through Human-in-the-Loop Feedback
- MegaMem: A Retrieval Solution for Ultra-Large Context Windows
- MEMONDEMAND: A Memory Management System for Large-Scale Enterprise Data
- Design the Feedback, Not Just the Reward: Environments for Open-Ended Reinforcement Learning
- BLOOM-WILT: Logit Tilting for Behaviour Elicitation in Automated LLM Auditing
- Task-Level Natural Language Priors as Learning Signals for Low-Resource LLM Training
- Constructing and Evaluating Clinical Reasoning Trajectories for Medical Agent
- CABAL: Multi-Agent Simulacra for Tracing the Effects of Collusive Bidding in Peer Review
- From Simulated Citizens to Simulated Deliberation: Challenges in Representation and Interaction
- T-GADE: Thermodynamical Generative-AI-Driven Evolution of LLM Artifacts
- Witness Overlap: Directional Provenance Inside Open-Weight Model Families
- From Migration to Calibration: Aligning Agents with Deployment Requirements
- CompMat-Bench: Benchmarking AI Agents for Computational Materials Science
- Global Coherence: When Every Agent Is Right and the Team Is Still Wrong - A Local-to-Global Semantic Foundation for Multi-Agent Collaboration
- KV$^2$: A Self-Refining KV Cache
- Video-Time Priors for EEG-fNIRS Emotion Regression on Familiar Videos
- Asynchrony Is Nearly Free for Evolution Strategies on Long-Horizon LLM Agentic Tasks
- OTel: Open Telco AI Datasets, Benchmarks, and Models
- SCOPE: Certified Theorem Proving with a Language Model as the Policy Planner
- ParanoiaEval: Benchmarking Unnecessary Defensive Work in Agentic Coding
- AlphaRLM: Aligning Language Models for Literature-Grounded Symbolic Factor Discovery
- RAP-WAM: Learning World-Action Models through Predictive Rehearsal and Action Perturbations
- LIBERO-Industry: Benchmarking Robotic Manipulation under Industrial Process Constraints
- ReTerm: Recovery Training for Self-Improving Terminal Agents
- What Coding Agents Leave Unsaid: Measuring Task-State Gaps Between Execution and Reports
- Co-Evolving Acting and Forecasting for Language Agents
- Distributionally Robust Regularization of Sparse Integer Programming Trained Learning Models
- InkSight: Offline-to-Online Handwriting Conversion by Teaching Vision-Language Models to Read and Write
- Pairwise Difference Learning for Classification
- LLMR: Knowledge Distillation with a Large Language Model-Induced Reward
- STAMP: Symmetric Temporal Averaging Message Passing for Domain Adaptation in Chronologically Split Graphs
- A self-learning framework for adaptive free-form pipe routing in aeroengines
- Towards Reliable Long-Context Reasoning: Detecting Unanswerable Questions via FactGuard
- PanoDiff-SR: Synthesizing Dental Panoramic Radiographs using Diffusion and Super-resolution
- Adaptive Duration Model for Text Speech Alignment
- AI Scientists for Building Virtual-Cell Models
- UniFGVC: Universal Training-Free Few-Shot Fine-Grained Vision Classification via Attribute-Aware Multimodal Retrieval
- Drive As You Like: Multi-Head Diffusion with Reinforcement Learning for Personalized Driving
- ZeST: A VLM-based Zero-Shot Traversability Navigation for Unknown Environments
- Chronoberg: A 250-Year Diachronic Corpus with Temporal Affective Lexicons for Language Model Analysis
- Uncovering Grounding IDs: How External Cues Shape Multi-Modal Binding
- Multi-task Neural Diffusion Processes
- RAG4Tickets: AI-Powered Ticket Resolution via Retrieval-Augmented Generation on JIRA and GitHub Data
- Scientific feedback reveals productive regimes beyond training conventions
- Benchmarking Code LLM-as-a-Judge via Constrained Perturbation and Calibration
- Imaging-anchored multiomics in cardiovascular disease: integrating cardiac imaging, bulk, single-cell, and spatial transcriptomics
- Contextual Probability and Operational Minimality in Tug-of-War Decision Making
- VDE Bench: Evaluating The Capability of Image Editing Models to Modify Visual Documents
- Product Interaction: An Algebraic Formalism for Deep Learning Architectures
- Language Models Struggle to Use Representations Learned In-Context
- ReText: Text Boosts Generalization in Image-Based Person Re-identification
- Orchestrating LLM Agents for Scientific Research: A Pilot Study of Multiple Choice Question (MCQ) Generation and Evaluation
- RMBench: Memory-Dependent Robotic Manipulation Benchmark with Insights into Policy Design
- Learning Not To Interfere: Adapting Experts For Model Merging
- From Documents to Spans: Span-Centric Learning for LLM-based Explainable Medical Coding
- What Tracks Hard-Negative Transfer? A Study of Lexical and Semantic Signals
- LLMON: An LLM-native Markup Language to Leverage Structure and Semantics at the LLM Interface
- InverFill: One-Step Inversion for Enhanced Few-Step Diffusion Inpainting
- TensorDex: A Compact, Tensor-Centric Storage System for Modern AI Models
- EmbodiedMidtrain: Bridging the Gap between Vision-Language Models and Vision-Language-Action Models via Mid-training
- On the Privacy of LLMs: An Ablation Study
- CRAFT: Forgetting-Aware Intervention-Based Adaptation for Continual Learning
- HIMMEL: Hierarchical Interleaved Multi-stream Motion Encoding for Long Video Understanding
- Plan Before You Trade: Inference-Time Optimization for RL Trading Agents
- Language-Based Agent Control
- Neural Visual Decoding via Cognitive guided Adaptive Blurring and Information Constrained Alignment
- ChaosBench-Logic v2: Evaluating LLM Logical Reasoning over Dynamical Systems at Scale
- LLMSurgeon: Diagnosing Data Mixture of Large Language Models
- Moment-Video: Diagnosing Temporal Fidelity of Video MLLMs on Momentary Visual Events
- Rethinking Calibration for High-Sparsity LLM Pruning: From Single Sources to Capability Coverage
- SecureClaw: Clawing Back Control of LLM Agents
- ANEForge: Python for direct computation on the Apple Neural Engine
- VOiLA: Vectorized Online Planning with Learned Diffusion Models for POMDP Agents
- MIRAGE: Stealthy Visual Prompt Injection for Vulnerability Detection in Web Agents
- Hitting a Moving Target: Test-Time Adaptation for AI Text Detection under Continual Distribution Shift
- Play2Perfect: What Matters in Dexterous Play Pretraining for Precise Assembly?
- From Signals to Transfer: A Factorised Study of Probe-Based Uncertainty Estimation in Large Language Models
- Symbolic Mechanistic Data Attribution: Tracing Training Influence to Learned Behavioral Policies
- Stabilizing Extrapolation in Looped Transformers via Learned Stochastic Stopping
- Words Speak Louder Than Code: Investigating Cognitive Heuristics in LLM-Based Code Vulnerability Detection
- MemSyco-Bench: Benchmarking Sycophancy in Agent Memory
- LCPNet: Latent Consistent Proximal Unfolding Network for Infrared Small Target Detection
- HarnessMDP: Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning
- AirPASS: Over-the-Air Federated Learning via Pinching Antenna Systems
- Right Answer, Wrong Tokens: Tail-Aware Credit Calibration for RLVR
- BeatEdit: Symbolic Music Generation as Explicit Editing
- Amplitude-Only FFN Intervention for Tool-Structured LLM Inference: Method, Gated Evaluation Protocol, and Cross-Model Empirical Results
- Volition Elicitation: Operational Semantics for People and Their Machines
- Circuit Claims Depend on What Is Extracted and How It Is Compared
- Visual Contrastive Self-Distillation
- Filling Before Advancing: Capability-Gap-Driven Post-Training for Scenario-Specialized Remote Sensing MLLMs
- Don't Regenerate, Debug: A Domain-Specific Agent for Repairing Near-Miss Accelerator Kernels
- ValueFormer: Stage-Aware Value Labels for Online Failure Detection and VLA Post-Training
- MasDrift: Benchmarking Authorization Preservation Across Multi-Agent Architectures
- DataKernelBench: Can LLMs Optimize Database Queries on GPUs?
- Spec-Driven Development as Prescribed and as Practiced
- ICON decomposition: Multivariate concept auditing reveals shortcuts that neural networks rely on
- INTERVenE: Temporal-Abstraction-Interval Based Transformers for Short-Horizon Medical Event Prediction
- Tail-Replay: Escaping the Curse of Linear Attention in Prefix Caching for Hybrid LLMs
- Evaluating Multimodal LLMs as Generalist Vision-Language-Action Agents for Drone Control: Commanding, Approaching, Tracking and Searching
- Efficiently Estimating Optimal Hyperparameter Scaling Laws through Power-Law Entropy Search
- Language Models Can Control Their Own Attention
- RefactorPlatform: An Open-Source Harness for Controlled Evaluation of Repository-Scale Refactoring Agents
- Training-Free Task Vectors for LLM Behavioral Control
- A primer on evaluation methods for large language models in healthcare
- SoK: Trading Agents or Market Crashers? Dissecting Robustness and Security Failures in Academic Financial LLM Trading Schemes
- Jev for Scientific Decisions: Evaluating Semantic Choices and Their Consequences
- KV-streams for Efficient Compaction in Agentic Reinforcement Learning
- Proofs Without Nominals: G\"odel's Ontological Argument, its Shallow Embedding, and the Open Questions of the Monatshefte Notes
- Interpretable but Fragile? Robustness of Concept Bottlenecks under Geometric-Semantic Perturbations
- LEAP: Learned Block-wise Evidence Retrieval for Long Audio-Video Perception
- ULTRADISCOVERY: Abductive Exploration in an Interconnected, Epistemically Open Universe
- D-DOIT: Training-free Adaptation of Discrete Diffusion via Doob's h-Transform
- E$^2$-OPSD: Taming Entropy Overshoot in On-Policy Self-Distillation
- Minimal Witness Reinforcement Learning
- LASER: Latent Space Adjoint Matching for Support-Constrained Entropy-Regularized Offline RL
- Telling FIBS: Probes Effectively Detect Sabotage and Catch Unverbalized Deception
- Predict Before You Modify: Learning Improvement Dynamics for Self-Evolving Agents
- EV-JEPA: Elastic V-JEPA for Any Device and Cross-Device Inference
- Limitations on Autoregressive Token Generation via Sequential Sampling
- Self-improving data synthesis enables scalable adaptation of embedding models
- Deep Learning-based Semantic Segmentation of Dental Radiographs: Comparative Evaluation of PSPNet, DeepLabv3, UNet, and UNet++
- World Modeling through Spectral Alignment
- SonicWorld: Source-Centric Latent Dynamics for Spatial Audio Reasoning
- MID: Mask-Image Distributional Divergence for Evaluating Medical Image Segmentation
- Morphology-aware deep learning predicts colorectal cancer survival from whole-slide images
- Agentic-MatriBO: Capability-Compiled Agentic Bayesian Optimization for Materials and Chemical Design
- RT-J: Large-Scale Pretraining of Relational Transformers for Context-Efficient Predictions
- When Do Learned Blocks Preserve Causal Meaning? Block Identifiability and Constructive Causal Abstractions
- Knowledge Graphs as Files: An Agent Harness Where Tool Creation and Tool Use Co-Evolve
- Where Do LLM Ensemble Gains Come From? Decomposing Candidate Value, Diversity, and Aggregation
- DexMimic: A Generalist Dexterous Hand-Object Tracking Policy via Value-Guided Reset Allocation
- Why Do Agent Teams Fail Across Boundaries? A Failure Taxonomy for Agent-to-Agent Systems with Private States
- Frame Evidence:A Benchmark for Reference Frames and Visual Evidence in Multi-Image Spatial Reasoning
- SWE-Nexus: Automated Composition of Software Engineering Tasks from Test Execution
- Retrieval Over Training: Similarity search-based Model Selection for Time Series Anomaly Detection
- Analyzing performance of Retrieval Augmented Generation models for Question Answering Tasks
- Hindsight-Privileged RLVR: Single-Rollout Token Credit Without Group Sampling
- FlowBudget: Training-Free Sampling-Budget Estimation for Flow Matching Models
- Expanding Attention: A Taylor-Series Route to Linear-Time Transformers with a Fixed Number of Recurrent States
- Feature Elicitation for SAE Steering of Deceptive Behaviour in Small LLMs
- Same Answer, New Box: How Much of RLVR's Out-of-Domain Gain Is Answer Format?
- KNOU-Flood: Advancing global streamflow forecasting with lead-aware probabilistic machine learning
- Spectral Indistinguishability and Learning-Curve Identifiability in Quadratic Networks
- Diminishing Returns of Data in Sparse Autoencoders: Functional Behavior does not Guarantee Feature Reproducibility
- TurboMamba: Faster Inference, Faster Training, and Better Prediction with Lexical Memory
- Causal Syntax Circuits in CodeLMs: Budget and Probe Decide What Looks Localised
- Learning Topology-Aware Representations for Mechanics-Relevant TPMS Metamaterials
- RoLaQ: Joint Rotation and Range Calibration for 2-Bit KV Caches in Multi-Head Latent Attention
- On-Policy Residual Learning for Diffusion Language Models
- Quantile-Guided Diffusion for Probabilistic Time-Series Forecasting
- Vertical Sliced Wasserstein Distances for Meta-Measures
- Semantic Alignment of EEG and Text: A Contrastive Learning Framework for Decoding Imagined Speech
- Selection-Safe Conformal Early Exit: Distribution-Free Coverage under Adaptive Depth
- Sliced Wasserstein Sketches with Error Certificates
- EEG-Based Prediction of Music Enjoyment Using Deep Learning with Explainable Temporal Analysis
- Optimal Explicit and Implicit Regularization Strengths in High-Dimensional Continual Linear Regression
- Gibbs-Gap Policy Optimization for Off-Policy RL with Verifiable Rewards
- O-RAN-Native Jamming Detection Under Network Heterogeneity
- Task-Phase-Conditioned Expert Routing Is Not a Reliable Proxy for Quantization Sensitivity in MoE FFN Tensors
- Denoising Score Matching in Diffusion Models: The Effect of Rank Constraints on Generalization
- Long-Context Drafting Does Not Require Long-Context Drafters
- Clinically Interpretable Biological Age Estimation Using CatBoost and SHAP with Continuous and Categorical Features from NHANES
- CogDrift-4D: Hierarchical Multimodal Modeling of Temporal Behavioral Decay for MCI Detection
- Do Emergent Misalignment Models Share a Circuit?
- Sign Betting for Misspecified Regression: Variance Adaptivity and Optimal Approximation
- Task-Centric Multimodal Learning for Cognitive Impairment Detection
- Recursive Offline Distillation via Entropy Gain Sampling and Answer Mixing
- Do As I Do, Not As I Say: On-Policy Distillation Inherits the Teacher in Vision-Language Models
- Halve-Then-Greedy: Adaptive Sampling for Posterior Success with Near-Optimal Instance Dependence
- Imperfect Is Perfect: Learned Column Prefilling for Branch-Price-and-Cut
- CausalEvo: Causal Skill Self-Evolution for Health LLM Agents
- INCONVENIENT: A Benchmark to Assess LLM Generalization Capabilities from Convenience Samples
- SALTO: Solver-Anchored Lifted Transfer Operators for Nonlinear Event Inference
- StochLOB: Heavy-Tailed Score Matching for Robust Limit Order Book Trend Prediction
- Spectral-Spatial Interpretation
- Noise-Space Reward Alignment for Few-Step Generative Models
- Predicting Live Birth After Fresh Embryo Transfer in IVF/ICSI: Differential ICM/Trophectoderm Morphology Encoding and a Hybrid Attention--Logistic Regression Ensemble
- Sensor Diagnosis for Fuel and Emissions Monitoring in Heavy-Duty Diesel Vehicles
- Resisting Harmful Instructions through Training-Free Weight Editing
- Poisoning the corpora of protein design systems during pre-training and retrieval
- Hard Way, The Only Way: Provable Merits of Training on Hardest Examples
- Learning and Forecasting Multiscale Spatiotemporal Epidemic Dynamics with Lagrangian-Eulerian Graph Neural ODEs
- Not All Change Is Damage: Update-Matched Unlearning for Large Language Models
- Compatibility Matters: A Framework for Token-Level Teacher Selection in On-Policy Distillation
- Isolating a Language Model's Judgment with a Label-Free Subspace
- Rethinking Learning from Label Proportions via Moment Matching
- Regret Lower Bound for Online Learning of Quantum States with Logarithmic Loss, with Applications to Quantum State Tomography and Confidence Sequences for Matrix Means
- TimeCap: A Scalable Open-Source Pipeline for Captioning Wearable Health Time-Series Data
- Can Capability Enhancement be Localized?
- Personalized Projected Ascent for Federated Stackelberg Optimization
- PocketTSLM: Deploying an On-Device Soft-Prompt Time-Series Language Model for Privacy-Preserving Smartphone Reasoning
- Spectrum Is Not Enough: A Random-Matrix Account of Data-Free Preconditioning for Differentially Private Learning
- Ranking and Partitioning of Attention Heads for Sparse and Continual Reinforcement Learning Fine-tuning
- Online Quantile Omniprediction for Proper Losses
- Honesty is the Best Policy ... or is it? Demand Management for Probabilistic Service Options
- Same Target, Different Origins: Aligning Latent Rollout for Consistent PDE Emulation
- Does Compression Imply Generalization? A Minimum Description Length Perspective
- RDL-Bench: A Benchmark for Task-Aware Question Answering over Relational Databases
- Fault Detection and Bit-Error Rate Diagnostics in Optical Wireless Links Using Edge-AI
- Learning to Forecast on Multiple Spatiotemporal Hierarchies
- What Does History Add? Calendar Controls and Information-Timing Audits for University Trajectory Forecasting
- Each Reward to Its Relevant Tokens: Reward-Specific Token-Level Credit Assignment for Multi-Reward RL
- Kolmogorov-Arnold Networks: Curse of Dimensionality and Structural Bias
- Phase Kernel Lifts Capacity of Dense Associative Memory
- Activation-Adjacent Layer Normalization: Effects on Approximation Power
- Federated Art Chase: Privacy Leakage and Data Poisoning in Federated Fine-Tuning
- Finite-Time Guarantees for Constrained Reinforcement Learning under Partial Observability
- A Quantum Machine Learning Approach to Content-Based Media Recommendation
- Sharp and Stable Label-Free Calibration Certificates from Logical Coherence
- From Perception to Prediction and Intervention: Benchmarking Proactive Video Assistants in Real-Life Scenarios
- Transfer Learning in Bandits from Unknown Adaptive Policies: Problem-Dependent Lower and Upper Bounds
- Waypoint-OPD: Transferring RL-Induced Policy Shifts via Gated On-Policy Distillation
- Market Incentives for AI Safety Investment
- Local Temporal Contrasts on Human Motion Data Induce a Latent Geometry
- ReFlow: Replay-Driven Decoupling for Efficient RL Post-Training
- Approaching Backpropagation Accuracy with Weight Perturbation on MNIST
- Diffusion Language Models as Open Quantum Systems
- Classical methods for modern applications: synthetic tabular data generation using lightweight discrete response continuous latent variable model
- ShiftQAT: Quantization-Aware Training for the Numerical Contract of a Fixed-Function Edge CNN Accelerator
- Sparse Federated Echo State Networks for Time-Series Classification via Smooth-L1 Regularization
- Pairwise AUC Optimization Needs Corrective Power: A Unified View
- Q($\gamma_H$): Entropy-Guided Horizon Mixing in Multi-Discount Q-Learning
- N-Gram Memories at Two Bits: Quantizing Lookup Tables in Large Language Models
- Measuring the local shape of learning-rate transfer curves
- A Closed Form Depth-Width Law for Neural Collapse in Deep Linear Networks
- Local Epochs as Optimal Stopping: Theory and Evidence in Federated Learning
- Physics-Aware Distillation of a Grid Foundation Model for Real-Time Edge Inference
- Lethe: Link Inference Attacks For Evaluation of Edge Unlearning Methods
- Learning Lean Feedback for Efficient Proof-Candidate Evaluation on GPUs
- Graph Dirichlet Energy for Fitting-Free Bivariate Causal Inference
- Self-Calibrated Subspace Robust PCA for Parameter-Free Removal of Mixed Noise and Line Stripes in Hyperspectral Images
- The Tilted Sampling Problem: Optimism, Posterior Sampling, and Logarithmic Regret
- The Lagrangian Structure of Cost-Penalized Active Feature Acquisition
- ChronoSheaf: Joint Spatio-Temporal Spectral Filtering on Cellular Sheaves
- Learn Only Where You Can't Compute: Structured Corrections to Gaussian Process Posteriors
- P2TPO: Structure-Aligned Page-to-Token Credit Assignment for Full-Page Document Parsing
- Interfaces and Modules: A Scalable Representation for Weight-Space Learning across Architectures
- Close Enough is Nowhere Near: Fidelity-Consumability Decoupling in KV Caches
- Not All Unlabeled Data Are Equal: Unlabeled Data Selection for Semi-Supervised QSAR Modeling with Large Chemical Repositories
- Augment the Cache, Replace the Activation: A 2x2 Study of Internal-State Sharing
- Effectiveness of Hidden-State Probes for Localizing Reasoning Failures
- ABNAT: Attention-Based Noise-Aware Training for Robust Transformers on Analog Compute-in-Memory Systems
- Can AI Forecast the Extremes? Evaluating Probabilistic Weather Models on Tropical Cyclones
- Scene Reconstruction Using Ubiquitous Wireless Signals via Diffusion Posterior Inference Over physics-Grounded Representations
- Beyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery
- The importance of tensor handling and implementation of physics-informed DeepONets
- LCT: Losslessly Compressed Tensors with GPU friendly execution for Training
- Generalization Guarantees of Randomized Block Coordinate Descent for Nonconvex Learning
- Query-Efficient Rejection Sampling for Parallel Masked Diffusion
- Explore Once, Evaluate Many: Multiple Policy Evaluation for Stochastic Linear Bandits
- BitSparse: Compact Activation Storage for ReLU Feed-Forward Networks
- Topology-Inspired Fine-Tuning for Wind-Field Super-Resolution
- Baselines and Score Centering in Policy Gradient Estimation
- Learning Rational Strategies for Temporal Objectives in Multi-Agent Systems
- CAT-alyzing Honesty: Continuous Adversarial Training for Transferable LLM Honesty
- Robust Reinforcement Learning for Dynamic Treatment Regimes under Model and Measurement Uncertainty
- Lean Graph Search for Formal Theorem Proving
- PathFM: Fast Generative Forecasting of Multivariate Trajectories
- Thermodynamically Consistent Machine Learning for Fracture Prediction in Heterogeneous Materials
- DeepUnfolding_Agent: A Classical_Quantum Adaptive Control API
- Iterative Neural Variational Solver of Committor Function in Under-damped Langevin Dynamics
- pcNN-SN: a physics-enhanced predictor-corrector neural network algorithm coupled with the discrete ordinates method for neutron transport equations
- BD-HazardVLM: Probing Vision-Language Models for Latent Defensive-Driving Hazards in Bangladesh Road Scenes
- A Large-Scale Dataset for Multi-Class Financial News Classification in Brazilian Portuguese
- AbridgeKV: Compressing Long Reasoning into the KV Cache of Learned Pause Tokens
- Global-in-time Spectral Duhamel-Picard Method for Post-Exposure Bake Simulation and Physics-Informed Neural Operators for EUV Lithography
- A polylogarithmic bound for list replicability
- Latent Annealed Posterior Sampling with a Variance-Preserving Bridge for Sparsely Observed Random Fields
- Graph Additive Models disentangling feature, topology, and interactions
- CascadeLedger: Counterfactual Auditing of Information and Resource Integrity in LLM Cascades
- On the Stability and Convergence of Flow Map Training
- Ergodic topology sampling toward the continuum with Stochastic Normalizing Flows
- Purify Before You Align: Improving Representation Alignment for Diffusion Models
- Privacy-Preserving Text Inference for Health-Misinformation Classification and Semantic Retrieval
- Feasibility Ceilings Before Learning: Sizing and Timing Bounds for Drone-Mesh Interception
- Linear Independence of Polynomial Compositions with Bounded Input Degree
- A Phenomenology of Neural Geometry in Vision-Language-Action Models
- Analog RF Computing for Integrated Data and AI Flows Over Wireless Networks
- Complete or Sparse: A Tale of Two Identifiabilities
- Does Morphological Correctness Matter for Tokenization? A Scrambled Control Study in Tagalog
- Time-partitioning Gaussian Process Mixture Model
- SNOAR: Self-training with Noise filtering, Observation adding, and Remixing for Speech Denoising Without Clean References
- Machine-learning-based neutrino-event generation constrained by experimental measurements
- Pixels to Tokens: Token Space Efficient Active Learning for Low-Budget Semantic Segmentation
- Learning Warm Starts for the Simplex Method from Measured Solver Cost
- Flexible Doubly Robust Proximal Causal Inference for Censored Outcomes
- Stochastic Gradient Descent: A Nonlinear Time Series Perspective
- Planning to Learn: Real-Time Robust Adaptive Control on the GPU with Guaranteed Future Learning
- Ranked Right, Sized Wrong: Ensemble Spread Fails Silently at Streamflow Extremes
- Cross-subject decoding of imagined speech from scalp EEG: a leakage-controlled evaluation on three public corpora
- MIDI-REPA: Improving Text-to-Music Generation with Symbolic Representation Alignment
- Two-Stage Score Estimation for Group-Specific Diffusion Models
- The Blume-Capel Model as a $\phi^6$ Field Theory: A Monte Carlo and Flow Model Study
- One Bias Score, Two Factors: How Mitigations Affect Option Bias in Multiple-Choice Evaluation
- Can LLMs Anticipate Their Cruxes?
- Audio-Visual Dog Identification and Tracking in Real-World Videos
- Acceleration and its Limits in Gaussian Variational Inference
- On the Last-Iterate Convergence of Clipped Gradient Methods
- Efficient Agnostic Learning of Univariate Densities Under Local Differential Privacy
- SHIP: Structured and Hierarchical Insight with Privacy
- Score Mismatch and Set-Constrained Sampling in Zero-Shot Conditional Discrete Diffusion
- Adaptive Randomized Neural Networks for PDEs: Structure-Aware Feature Redistribution and Residual-Driven Block Enrichment
- Pathwise Shrinkage and Probabilistic Calibration of the Multiplicative Half-Cauchy Process
- Coordination-Free Workload Regularization for Variable-Cost Distributed Training
- Clean Data Can Still Carry Backdoors: Support-Persistent Backdoors for Model Reuse
- What Should We Remove? Evaluating the Reliability and Costs of RLVR Data Decontamination
- Semantic Latent Alignment for Flow Matching with Invertible Bi-Lipschitz Adapters
- When Should a Low-Light Pipeline Generate? Auditable Risk Control for Selective Generative Enhancement
- Dimension-Free PAC-Bayes Generalization for Deep Neural Networks via Dirichlet Processes
- L2GSSL: Label-Efficient Local-to-Global Self-Supervised Learning for Volumetric Healthcare Data
- Two Sample Sizes in Test-Time LLM Ensembling: Buffered ERM and Minimax Theory
- Calibration Language Shapes Block-Influence Pruning in Multilingual Language Models
- Beyond Invariance: Factor-wise Selective Treatment of Shifts for Multimodal Learning
- ManiFusion: Unlocking the High-Throughput Generation via Superposition in Manifold Space
- Policy-Aligned Predictive Verification for Adaptive VLA Action-Chunk Execution
- HyCo: Hybrid Drafting for Cost-Efficient Mobile-Cloud Speculative Decoding
- DuET: Note-Frame Dual Encoding for Piano Performance-to-Score Transcription
- When the KV Cache Is Slower Than the GPU: Scaling Remote KV Tiers for Context-Parallel Prefill
- Rethinking Classifier-Free Guidance for TI2I Flow Matching
- Reducing the Cost of Qudit State Preparation by Learning a Sparse Structure for SNAP Gates
- ContextLift: Breaking the Spurious Correlation Behind Conditional Emergent Misalignment
- Conditional Mean Flows: Few-Step Densities for Simulation-Based Inference
- When Does "Post-Call" Begin? An Availability Contract for Earnings-Call NLP Benchmarks
- MARS: A Momentum-Aware Adaptive Rating System for Personalized Assessment
- Robust Covariance Estimation for Entry-wise Contaminated and Partially Observed Data via Expectation Maximization Algorithm
- International Multi-Centre Validation of Unsupervised Domain Adaptation for Precise Discrimination between Normal and Abnormal Retinal Development
- Same Spectrum, Harder First-Order Training: Phase-Locking in Single- versus Multi-Qubit Re-Uploading Circuits
- Single-stage joint diffusion of sky images and clear-sky index for ultra-short-term irradiance forecasting: what the frame-to-irradiance stage discards
- Compiling Multi-Threshold Operators for Quantized Non-Monotonic and Fine-Granular Activations in Custom-Tailored DNN Accelerators
- Temporal Periodic Image Registration with Implicit Neural Representations
- SelectPFN: Amortized Bayesian Variable Selection for Sparse Nonlinear Regression with Prior-Data Fitted Networks
- Uncertainty-Aware Federated Learning for Joint Communication and Computation in XR Systems
- Deep Learning of Topological Equivalence Classes
- Stateful Testing for Deep Learning Compilers
- Designing Experiments for External Decision Makers
- ETH: Data-Balanced Heterogeneous Pipeline Parallelism for Training Large Models
- Missed Detections and False Alarms in a CNN Technosignature Detector on Breakthrough Listen Data
- Rethinking Successive Rejects Algorithms
- The Right Byte First: How UTF-16 Helps Multilingual Boundary Prediction
- Learning Changes the World and Then What Was Learned has Changed: Training and Deploying Neural Networks in the Control Loop
- Beyond the Dominant Label: Recovering Coexisting Lesion Evidence with Multiple Instance Learning
- Patch where the text is new: a compression view of where byte-level models should spend compute
- Lexical Reference Frames: Interpreting LM Residual Streams in Native Semantics
- REKI: Registering Knowledge in VLAs
- Attention over noisy examples: generalization and memorization in the exponential Hopfield network
- FutureLift: Lifting Trajectory Proposals into Bidirectional Future Graphs for Motion Forecasting
- How Much Physics Can Vision Learn from Audio? Probing and Distilling Damping Structure
- Architecting for Hardware Diversity: Meta's End-to-End Co-Design for High-Performance AI Training on AMD GPUs
- SurvICL: a Foundation Model for in-context Survival Analysis
- Backward Compatibility in Zero-Bit Neural Audio Watermarking
- LOOP-MAC: Learning-Based Multi-Agent Coordination with Guaranteed Local Feasibility in a Virtual Power Plant
- BOLT: Universal Classifier Training via a Bayes-Error Upper Bound
- FANTF: Fuzzy attention network based transformers for time series analysis
- KnowEEG: Explainable Knowledge Driven EEG Classification
- Parallel Layer Normalization for Universal Approximation
- HERO: Preserving Structure and Semantics in Heterogeneous Continual Graph Learning
- Tourist arrival forecasting with game-theoretic social influence weighting and deep learning
- Stabilizing the Modality Gap: Null-Space Projected Continual Learning for Vision-Language Models
- Multimodal Remote Inference
- Thinking-Free Policy Initialization Makes Distilled Reasoning Models More Effective and Efficient Reasoners
- Graph Homomorphism Distortion: A structural (pseudo)-metric for attributed graphs
- SUPN: Shallow Universal Polynomial Networks for Efficient Function Approximation
- AlignSAE: Concept-Aligned Sparse Autoencoders
- CarBench: A Comprehensive Benchmark for Neural Surrogates on High-Fidelity 3D Car Aerodynamics
- DeFlow: Decoupling Behavior-Prior Modeling and Value Maximization for Offline Policy Extraction
- TabClustPFN: A Prior-data Fitted Network for Tabular Data Clustering
- CoCopula: Conformal Calibration and Copula Aggregation for Reliable Renewable Energy Forecasting
- Soft Sensor for Bottom-Hole Pressure Estimation in Petroleum Wells Using Long Short-Term Memory and Transfer Learning
- The impact of temporal resampling on the safety of clinical reinforcement learning: A simulated trial
- TASTE: Task-Aware Out-of-Distribution Detection via Stein Operators
- Mitigating Memorization Where It Happens
- Size-Transferability of Graph Transformers with Convolutional Positional Encodings
- Fractional Rotation, Full Potential? Investigating Performance and Convergence of Partial RoPE
- 3DTCR: Vortex-following generative reconstruction improves tropical cyclone intensity prediction from global AI weather forecasts
- A Model Ensemble-Based Post-Processing Framework for Fairness-Aware Prediction
- SEVerA: Verified Synthesis of Self-Evolving Agents
- Where to Steer: Input-Dependent Layer Selection for Steering Improves LLM Alignment
- Mind the Gap: Structure-Aware Consistency in Preference Learning
- Do LLMs have core beliefs?
- HAServe: Horizon-Aware Scheduling and Memory Co-Design for Efficient LLM Serving
- TabFORGE: A Tabular Foundation Model for Generative Modelling
- Locking Pretrained Weights via Deep Low-Rank Residual Distillation
- Neurodata Without Boredom: Benchmarking Agentic AI for Data Reuse
- Evolutionary Multi-Task Optimization for LLM-Guided Program Discovery
- Amortized Factor Inference Networks for Posterior Inference
- Supervised Learning Objectives for High-Dimensional Treatment Effects
- Detectability without Interference: Efficient Canary Design for Privacy Auditing in One Run
- Linear Strategic Classification with Endogenous Improvements
- Structure-Preserving Correction Learning for Sparse Bayesian Inference in Brain Source Imaging
- When to Align, When to Predict: A Phase Diagram for Multimodal Learning
- Let's Ask Gauss: Improved One-Run Privacy Auditing
- Replica Symmetry Breaking and Algorithmic Thresholds in Empirical Risk Minimization under Multi-Index Model
- UniWind: Day-Ahead Wind Power Forecasting via Physics-Informed State Routing
- ManifoldFlow: Spectrum-Learnable Stiefel Optimization via SPD Relaxation
- Flow Matching with Missing Data
- Multi-Modal, Multi-Temporal Geospatial Foundation Models Improve Global Above-Ground Biomass Estimation
- Towards Reliable Context Compression for Long-Horizon Agents: An Empirical Study of Execution Instability
- PureTD: Reinforcement Learning for Backgammon Money Games with No Evaluation-time Search
- Blockwise Stabilized Adaptive Cubic Regularization with Subsolvers via Recurrence
- Calibration-Preserving Pruning: Compression as a Reliability Contract
- Inherent Trade-offs when Enforcing Correct Data Symmetries in Multi-head Self-attention
- The Safety Relay in Roleplay Jailbreaks: A Component-Resolved Causal Analysis of Harm Recognition and Refusal
- PLSP (Pre-hoc Liminal Space Profiling): OOD Prediction over Detection -- An Anticipatory Approach for Machine Learning Model Reliability
- THEIA: A Multimodal Dataset and Benchmark for Vision-Language Analysis of Layout
- CNet: A Complex-Valued Deep Learning Framework with Wirtinger Autodifferentiation and FFT--Hadamard Convolution
- Identifiability of a dissipative knowledge-dynamics model: exact recovery under designed excitation, degeneration on observational data
- AdaptLSTM: Efficient Adaptive Online Learning for Cloud Workload Forecasting under Distribution Drift
- Spatial Context or Memory? Sizing the Inputs of Neural Surrogates for Partially Observed Fields
- PotentialEP: Backprop-Free Training of CIFAR-Scale Generative Models via Equilibrium Propagation
- TLA-Verus: Generating and Solving Temporal Proof Obligations with LLM Agents
- CIViC: Evidence Gates for Audio-Conditioned Visual Prediction on Proxy Tasks
- Follow the Perturbed Leader for Linear Bandits: $\sqrt{T}$ Regret over General Convex Sets
- TimeRSI: Towards Self-Improved Agentic Deployment for Time-Series Foundation Models
- Exhaustive Canonical Skeletons Generation: A Formal Dataset for Decomposable Symbolic Regression
- In-Context Batch Black-box Optimization via Flow Matching
- RM-OPD: On-Policy Distillation for Generative Reward Models
- Second Maximum of a Gaussian Random Field and Exact (t-)Spacing test
- A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language
- ZenFlow: Enabling Stall-Free Offloading for LLM Training
- Differentially Private Distribution Release of Gaussian Mixture Models via KL-Divergence Minimization
- PAC-Causal Learnability: From Identification to Finite-Sample Guarantees
- Formal Bayesian Transfer Learning via the Total Risk Prior
- Optimal Condition for Initialization Variance in Deep Neural Networks: An SGD Dynamics Perspective
- Quality control in sublinear time: a case study via random graphs
- A Greedy PDE Router for Blending Neural Operators and Classical Methods
- Arithmetic Circuits and Neural Networks for Regular Matroids
- Boltzmann generators for amorphous particle systems
- Diffusion Models in Simulation-Based Inference: A Tutorial Review
- Self-Refining Vision Language Model for Robotic Failure Detection and Reasoning
- Self-Scaled Broyden Family of Quasi-Newton Methods in JAX
- Computational and Statistical Hardness of Calibration Distance
- A Distribution-to-Distribution Neural Probabilistic Forecasting Framework for Dynamical Systems
- Sim-to-Real Transfer for Muscle-Actuated Robots via Generalized Actuator Networks
- Identifier-Free Code Embedding Models for Scalable Search
- A proximal gradient algorithm for composite log-concave sampling
- GRASP: Plan-Guided Graph Retrieval with Adaptive Fusion and Reranking on Semi-Structured Knowledge Bases
- Near-Exponential Convergence Rates for kNN Classification based on Boltzmann Margin
- Neuro-Relational Programs: Unifying Queries and Neural Computation over Structured Data
- Feature-preserving Latent-EnKF for Data Assimilation of Flows with Shocks
- Identification and Inference for Algorithmic Frontiers with Selective Labels
- Set Membership Estimation for Stochastic Linear Contextual Bandits
- Nonconvex Composite Functional Constraints via First-Order Augmented Lagrangian Methods under Local Regularity
- An End-to-End Hybrid Quantum-Classical Sampling Workflow for Discrete Markov Random Fields: A Reproducible Case Study
- Optimal Unambiguous DNFs and Alon-Saks-Seymour
- DYSANOS Generative Dynamic Smooth Arbitrage-free Non-parametric Option Surfaces
- Optimal Watermark Localization in Mixed-Source Large Language Model Texts
- LightMedSeg-ISLES: Stroke Lesion Segmentation with 81x Fewer Parameters than nnU-Net
- FAME: An FPGA-Based Platform for Approximate Multipliers Evaluation with Pattern-Guided DNN Retraining
- StabilityArc: Decoding Protein Sequence Embeddings into Generalizable Stability Landscapes
- Calibrated Evidence Inference With a Small, Permissively Licensed Open Model
- TTS-Q: Perception-Guided Post-Training Quantization of Text-to-Speech Diffusion Transformers
- PMB-NN: Physiological-Model-Based Neural Network for Glucose Forecasting in Type 1 Diabetes
- A Bethe-Ansatz Source of Early Token Correlations: A marginal-preserving construction for parallel proposals
- SPARCL: Spatially Adaptive Regional Coverage for Active Learning in Chest X-ray Analysis
- Scaling Multilingual Mixture-of-Experts: How Language Coverage Changes Capacity and Compute Allocation
- Harnessing MPI mutations for AI error detection
- Developer Experiences with Cursor AI-native IDE
- HPCAgent-Bench: A Framework for Sound Benchmarking of Code-Optimizing Agents, Harnesses, and Skills
- Robotic-supported Data Loss Detection in Android Applications
- Skip the Compressor: Coding Agents Fix More Issues When They Pick Whole Files
- Plausible Is Not Enough: Trust and Evidence in AI-Authored Pull Request Review
- Beyond Confidence: Rethinking Uncertainty Calibration in Deep Code Models
- When CONTRIBUTING Files Fall Short: Revising OSS Contribution Guidelines with Repository Evidence
- SWE-at-Scale: Scalable Issue Synthesis from Historical Bug Fixes
- Agentic Dependency Transformations: Lessons from an Exploratory Case Study of Flask
- The Role of Agentic Instruction Categories for Code Generation: A Study of Five Python Libraries
- Realization Divergence in Multi-Provider Quantum Computing: A Pre-Registered Study of What Survives Measurement
- Benchmarking and Enhancing Design-Aware Code Review in the Linux Kernel
- WEAVE: Weaving Real-World Code Evolution into Dependency-Structured Tasks for Benchmarking and Training Code Agents
- Are We Testing the Wrong Quantum Bugs? A Study of Fault Representation Gaps in Quantum Software Testing
- Where the SRAM Goes: Per-Symbol Attribution of Static Memory in FreeRTOS-C and Embassy-Rust IoT Firmware on a 64 KB RISC-V Microcontroller
- Combining LLM and Dynamic Analysis for Universal Testing of Static Application Security Testing Tools
- Evaluating and Improving Static Application Security Testing Tools for Rust
- Enhancing Knowledge Density via Hierarchical Context Pruning for Retrieval-Augmented Repository-Level Code Completion
- Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths
- Smart Hiring Redefined: An Intelligent Recruitment Management Platform
- Isolating Recurring Backend-Dependent Abnormal Patterns on NISQ Quantum Devices
- A Model-Centric DevOps Architecture for DEVS-Based Digital Twin Simulation Services
- SWE-PolyVision: Benchmarking Cross-Image Abductive Reasoning for Repository-Level Software Engineering
- Testing and Verification of Quantum Compilers through Assurance Contracts and Evidence
- The Code of Theseus: Can Agents Rebuild Software from Recovered Design Documents?
- GoLeash: Mitigating Golang Software Supply Chain Attacks with Runtime Policy Enforcement
- An Empirical Analysis of EOS Blockchain: Architecture, Contract, and Security
- ORACLE-SWE: Quantifying the Contribution of Critical Information Signals on SWE Agents
- Praxist: From Experimental Artifacts to Solution Lineages
- NosRacer: Dynamic Detection of Race Conditions in On-Device Network Operating Systems
- Linus Torvalds on AI-assisted kernel contributions
- The road to iroh 1.0
- Why are we even doing all this?
- Making a 88x31 button book using ImageMagick
- JPEG XL vs AVIF for web use-cases
- The Decoherence Trap: When AI slop drowns out the signal in an endless sea of noise
- Mull: note-taking with a language server / vscode extension
- My C23 Conventions
- Epic's EAC2 v2 seems fairly easily bypassable
- What are you doing this weekend?
- Sunsetting decomp.dev
- Announcing Rust 1.99.1
- My self-hosted infrastructure with Incus OS
- Forgejo v17.0 is available
- On the technical actions needed to ensure the continuity of UTC
- What agents mean for Rust (and vice versa)
- Folders Esoteric Language
- Where did WIN32_LEAN_AND_MEAN come from? (2009)
- We're sunsetting Codeberg Pages v2
- Gleam case exhaustiveness, as a fan
- Thirty Years of KDE
- coopiano: A physically modelled piano synthesizer in C++17
- Matt Mullenweg Orders Accessibility Revert
- Haxy on Haxy
- Best Places to Buy Verified Nextdoor Accounts Online (いいね相当スコア: 0)
- What are the risks of using a bought Gmail account? (いいね相当スコア: 0)
- Shipping an agent escrow on Arc mainnet: createJob submitProof release withdraw (いいね相当スコア: 0)
- Stop asking image models to spell: setting text over AI art with Canvas (いいね相当スコア: 0)
- I took down my own search 🔥 (いいね相当スコア: 0)
- No Publishable Article: Underlying AI Development Cannot Be Identified (いいね相当スコア: 0)
- Why My Prefix Cache Missed Identical Requests (いいね相当スコア: 0)
- How do you know your agent's memory layer is helping, not hurting? (いいね相当スコア: 0)
- Build log: turning one photo into a ~13-second racing meme video on Cloudflare Workers (いいね相当スコア: 0)
- A Public Key Is Not Permission (いいね相当スコア: 0)
- Deep Pocket Fitted Sheets Manufacturer Pakistan: Buyer’s Guide (いいね相当スコア: 0)
- I am competing in a Table Topics contest, so I built myself a coach that scores like a real judge (いいね相当スコア: 0)
- Tencent's Hy Memory Is Only as Good as the LLM That Writes It. I Measured It on LongMemEval (いいね相当スコア: 0)
- Run a Jev-style decision API locally: Docker, DGX Spark, and the measured tradeoffs (いいね相当スコア: 0)
- A Customer Asked Your Assistant for Its Instructions and It Read Them Out (いいね相当スコア: 0)
- Durable execution keeps the state. It doesn't keep the rules. (いいね相当スコア: 0)
- Harnessing the Nondeterministic Machine: Practical Lessons in Agentic AI Hardening (いいね相当スコア: 0)
- My multi-agent review panel was confidently wrong. I measured why. (いいね相当スコア: 0)
- Why We Treat the LLM as an Untrusted Planner: Building AI Agents That Ask Before They Act (いいね相当スコア: 0)
- RAG chunking — 5 strategies with runnable Python (いいね相当スコア: 1)
- Have you ever wondered how an AI knows what you told it in another chat?
How it picks up an old conversation a week later, exactly where you left off?
Or how it seems to get to know you a little better over time?
Maybe I can help you answer these questions (いいね相当スコア: 0)
- AI Memory in a Nutshell: The Model Forgets, the System Remembers (いいね相当スコア: 1)
- shopping agent post (いいね相当スコア: 0)
- Show me your rack
- tencent/Hy-Memory-30B-A3B · Hugging Face
- OpenMOSS releases MOSS-Image
- The debt-fueled AI boom is cracking
- Why do we have models under 15b so rarely anymore?
- The actual state of open-weight models vs. frontier models
- Tyger: open-weights streaming ASR + full-duplex turn-control in one model
- It really just needs some encouragement (Qwen3.8-27B-UD-IQ4_XS)
- New paper from Stanford, Together AI, UIUC, and Meta introduces Hybrid Reasoning Agents. These AI models think mostly in a hidden internal way (faster and cheaper), and only use normal text when they need tools or give the final answer.
- r/nvidia mods delete post about always on MCP server
- Qwen3.8-27B-antislop, RL’d against slop, top4 on eq bench4
- Qwen Flash Next potential SOTA Q2 nobody talks about
- ALoDLM 8b looped diffusion language model: ~3x inference speed vs its base model qwen3-8b with better benchmark results
- Understanding How Neural Networks Learn (with interactive visualizations)
- cpu : reduce AVX2 tiled accumulators together by trivalik · Pull Request #30296 · ggml-org/llama.cpp
- Nemotron 3.5 Bolt Evaluation using real-world tasks
- Qwen 27B - sacrificing context in order run better quants, pros and cons.
- Nemotron-3.5-Bolt-74-A9B and Nemotron-3.5-Super-VL Tests
- model: Granite switch decision by gabe-l-hart · Pull Request #30676 · ggml-org/llama.cpp
- BlenderWorld Benchmark from Alibaba
- Drama3 in audio.cpp: Up to 5× faster than real time at full speed, or 2× real-time speed with < 8 GB of VRAM on an RTX 5090!
- Getting agents to update CRM records after meetings
- Would you trust an AI-generated technical plan enough to spend $50,000 building it?
- How to stop overpaying for hotels and flights with AI agents
- I built a CLI agent that triages SAST findings using an adversarial LLM pass (Open Source)
- Are AI/Agent startups actually making money, or is most of the industry still burning VC money?
- Repeat with me: guardrails protect what my agent says. What my agent does needs a check outside the model.
- Why aren't mobile agents as good as coding agents yet?
- What is one thing you wish you knew before building your first AI agent?
- Four agent frameworks shipped the same fix in one week: context compaction vs. human approvals
- What's the hardest part of using AI in a real business that nobody talks about enough?
- What would your ideal AI agent actually do for you day to day?
- how are you guys handling database access for analytics/debugging agents?
- Agent-built internal apps keep stalling at SSO, access control and audit logs. Live build today on getting them to prod
- A better average RAG score can still hide a regression on a critical query.
- How are you handling AI agents that crash halfway through a long-running task?
- The rogue agent stories keep coming, and the fix is boring
- What is your stack?
- When did Docker stop being enough for your agents?
- What would stop you shipping an agent even if its final answers looked correct?
- A comment on our last post found a hole in our agent approval gate. Here's what we found
- Everyone on our team was already using Claude. That was the problem.
- What's one task you would never let an AI agent execute without human approval?
- Sign of the times
- Worst pitch ever
- AI beef: Jensen Huang claims Geoffrey Hinton is fearmongering. Hinton says Jensen wants to downplay the danger of AI so he can sell more chips
- Don't worry
- Got cooked so hard that they back to cooking. Can't be out of ideas with "Super" Intelligence that needed pacing.
- Cars unite men👍👊🥲
- Sol 6.1 burns 3x/4x more usage lately
- Something is off with token consumption this week
- I am truly speechless - 23 year old game playable.
- So it took us, what, a year and a half?
- Well that escalated quickly
- How good does AI build real LEGO models? GPT-6 Astra is winning!
- Como o dispositivo de escuta foi instalado em OpenAI kkk:
- Limited Context Window in ChatGPT
- WildSEO textgrain remover
- Orgtree 4.3: Argon, and Muse
- Multigen - Frontend for GPT-Image
- Frequent reloads and crashes of MacOS App
- For the first time, researchers discover models actively shaping their future selves
- How many of your paper (either paper you authored or reviewed) are desk rejected? [D]
- [P] my rust framework trains nanoGPT with the exact same bits as pytorch. worth continuing? [P]
- To reviewers: do you upload your review to an AI? (NOT the paper itself) [D]
- University GPU cluster is holding my research hostage. Can I use my internship company’s GPUs instead? 💀 [D]
- Resources for learning to write production grade python code [N]
- NeurIPS 2026 - waitlist [R]
- I made a Wordle-style word guessing game to teach students how vector embeddings work [P]
- Crashing out after ICLR desk rejection: "content exceeds the 9-page limit." [D]
- How artificial neural networks build their own learning machinery [R]
- Texas sued after glitch delays almost 600,000 voter registrations
- Jailbroken PS5s can now run local AI models at over 100+ tokens per second — fork of PS5LM goes native, hijacks the CPU, and accesses the GPU and more RAM
- does anyone else feel like we collectively stopped being surprised by AI way too fast
- Anthropic's Mythos found so many software flaws, Bank of America hired 1,000 contractors to fix them
- Unsupervised AI agent reportedly deletes TV show’s entire edit weeks before release, erasing months of work — TV show can't air, AI agent was given access to the production server and wiped the finished season
- I tested whether an AI companion stays the same when you swap its underlying model. The results surprised me.
- One of the favorite parts of parenting has always been reading to the kiddos. Why would anyone voluntarily give that up?
- I keep saying to check the system around the prompt first, and then I hit a case where the prompt was the problem
- Where to follow what people do w/ AI
- Is There a Free Monthly Limit Reset For Claude Until Oct 22?
- Scientists worry AI is stealing their ideas
- Quote:
- AI deepfakes are getting out of hand.
- Free online talk with Matthew Watkins, AI researcher, on 'AI gods / AI delusions'
- Has anyone found an image generator that does realistic skin without the plastic look?
- Which of Kissinger’s 6 AI scenarios do you think is most likely?
- Why I don't think AI will take our taste: we get bored of whatever is common and models make what's common
- How would you separate model improvements from agent infrastructure in an evaluation?
- Really shouldn't have ignored people actually qualified to secure your shit...
- Qdrant tests Perplexity’s PDF embeddings: 21× smaller compressed vectors, with originals still stored
- Chirp Pong
- Anthropic tells investors quarterly revenue up nearly 50% to $16.8bn ahead of IPO
- [AINews] Agents disprove Polysemanticity; greatly improve Interpretability & Alignment
- [AINews] Modal’s $1B ARR, $16B Series D makes it NYC’s newest AI Infra Decacorn, 3x usage and 3x valuation in 5 months, 15x in 1 yr
- Grablo Spot
- Harness by Autonomous
- Skisso
- Maybloc
- Sparrow
- Tetriz Harness
- Tesla Roadster
- NANI???
- Toad
- Dottr
- GBrain Tools
- DOYT
- Kalesh Judge
- Parallax
- BOSS Console
- Hackers Use Codex and DeepSeek AI Agents to Breach 440 PaperCut Servers Worldwide - CyberSecurityNews
- Full Fact Study: AI Chatbot Accuracy Tested [2026] - shattered.io
- China's DeepSeek hit by 5-hour AI service outage - Nikkei Asia
- Western open-weight models still can’t beat China - Rest of World
- Muse Spark vs DeepSeek V4.1 Pro: One Shipped, One Did Not - OrcaRouter
- China’s AI Chip Shortage Becomes Reality as DeepSeek Outage Exposes Compute Drought - bloomingbit
- Step 5 Preview vs DeepSeek V4.1 Flash: Price vs Licence - OrcaRouter
- OpenCode Makes DeepSeek V4.1 Flash Free to Use, With a 200K Context Window - Pandaily
- DeepSeek outages mount as Huawei shift stirs stability, IPO concerns - CHOSUNBIZ - Chosunbiz
- Muse Spark Open vs DeepSeek V4.1 Flash: Same Score, Triple the Cost - Intelligent Living
- Step 5 Preview vs DeepSeek V4.1 Pro: Which One Exists - OrcaRouter
- Nemotron 3.5 Bolt vs DeepSeek V4 Pro: 24GB vs 1.6T - OrcaRouter
- Nemotron 3.5 Bolt 74B vs DeepSeek V4 Pro: 24GB vs 1.6T - OrcaRouter
- Nemotron 3.5 Super vs DeepSeek V4 Pro: the missing column - OrcaRouter
- Liang Wenfeng’s Robot Focus: Will Large Models Replace Embodied AI Models? - 36Kr
- Nemotron 3.5 Super VL vs DeepSeek V4 Pro: pixel economics - OrcaRouter
- Nemotron 3.5 Super VL vs DeepSeek V4 Flash Vision Exp: Eight Index Points, and Only One of Them Is a Product - OrcaRouter
- Liquid AI d1-ultra vs d1: Twice the Price, Same Endpoint - OrcaRouter
- DeepSeek V4.1 Pro Leak: A 180 tok/s Unlabelled Endpoint - OrcaRouter
- Liquid AI d1-ultra vs d1-3B: Rent It or Own the 2.87 GB - OrcaRouter
- What is StepFun, Number Two on OpenRouter’s LLM Leaderboard? - AI Magazine
- Claude Opus 5.5 fast mode: out of preview, 2x the price - OrcaRouter
- Step 5 Preview vs GLM-5.2: A Track Record vs a Score - OrcaRouter
- Claude Opus 5.5 vs Qwen 4 Max: who publishes speed? - OrcaRouter
- Step 5 Preview vs Claude Fable 5: Price and Weights - OrcaRouter
- 'Just take a picture of your credit card': Musk's Grok Bot advice - The Next Web
- Grok Bot phishing email catch exposes AI agent risks - Cybernews
- SpaceX AI policy leader grilled by NYC Council on Grok safety, sexualized images - CNBC
- Calling up Starlink customer service? You'll be talking to Grok. - Business Insider
- Forget Gemini, ChatGPT, and Claude, I finally found my favorite AI tool on Android - Android Police
- Former worker alleges xAI released unsafe Grok models - Fox News
- What Is Grok Bot? xAI’s AI Agent Explained for Physicians - Passive Income MD
- AI Price Prediction: We Asked Grok AI Which Recovers First From the October Selloff: Bitcoin, Ethereum, XRP or Solana - Yahoo Finance
- Musk Talks Chipmaking Challenges, Nicki Minaj Praises Grok at Tesla Fan Event - Yahoo
- The G7’s AI Cyber Drills Need A Test For The Stop Command – OpEd - Eurasia Review
- Muse Spark vs Grok 4.7: Where the Index and the Arena Disagree - OrcaRouter
- SpaceX Has Created New Subscription Bundles That Combine Grok, Cursor, and More. What This Means for SPCX. - Yahoo Finance
- The Midterm Battle over Data Centers: Memphis House Candidate Justin Pearson Fights Elon Musk’s xAI - Democracy Now!
- Grok Voice 3.0 vs Realtime-Venus: Comprar vs autoalojar - OrcaRouter
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