AI News Digest 2026-11-01
台本で使った記事
特集
OpenAI、新AIモデル「GPT-6.1 Terra」提供開始。処理速度は「GPT-6 Astra」「GPT-6.1 Sol」の3倍超 (importance=72)
[01:58〜]
Amazon決算、AWS売上高が39.3％増で約5年ぶりの高成長 フリーキャッシュフローは大幅悪化 (importance=62)
[11:44〜]
Wiz、10月にAI開発基盤9社で鍵が流出しBedrockが大量消費された (importance=55)
[21:40〜]
開発者コーナー
Google、500件超のXSSバグを発見したAIセキュリティエージェント「PageBreak」を公開
Google Discloses PageBreak AI Security Agent That Found 500+ XSS Bugs (coding_relevance=70)
[30:57〜]
話題コーナー
ChatGPTのアカウントを乗っ取った
We Took over ChatGPT Accounts
[36:02〜]
AIツール紹介コーナー
GitHub、AIモデルを自動選択・連携するCopilot Fusionを一般提供、資料とエージェントの作業をまとめるCopilot Projectsをパブリックプレビューに ——GitHub Universe 2026で自動化・コードレビュー・セキュリティも更新
[39:10〜]
速報コーナー
Kiro CLI V3 の 新機能 「Approve for me」 どの様な操作が確認になるか試してみた
[48:45〜]
AIエージェントを「サービスアカウント」ではなく「アイデンティティ」として管理する — AWSとSaviyntが提案するエージェントガバナンスの新しい考え方
[49:58〜]
TokenEconomizer登場 — Microsoftのプラグインでコーディングエージェントのコストを最大30.9%削減
Meet TokenEconomizer: Microsoft’s Plugin That Cuts Coding Agent Costs by Up to 30.9%
[50:56〜]
Vercel Labs、エージェントのコンピュータ操作向けに「agent-desktop」をオープンソース化
Vercel Labs Open-Sources agent-desktop for Agent Computer Use
[52:15〜]
AIコーディングエージェント週次ブリーフィング — 2026-10-30
AI Coding Agent Weekly Briefing — 2026-10-30
[53:28〜]
AIコーディングエージェント週次ブリーフィング — 2026-10-31
AI Coding Agent Weekly Briefing — 2026-10-31
[54:33〜]
🔒 古い規程で答えてしまう社内AIの直し方
[55:35〜]
AWS Weekly Roundup: Amazon Polly の Generative エンジン、Trainium 向け TorchNeuron など (2026 年 10 月 26 日)
[56:35〜]
v2.2.5
[57:36〜]
参考記事一覧
参考記事一覧を表示
- Molly (Signal fork) has not been updated since 3 months and is vulnerable
- We Took over ChatGPT Accounts
- Jepsen: ParticleDB 1.1.4
- I post trained a model on Demoscenes
- Switch Lowering in GCC
- Malware uses LLMs to rank victims by how much they are worth
- Digital minimalism
- William Nordhaus, Nobel-winning climate economist, dies at 85
- Show HN: Ghostman – A fast, keyboard-driven TUI API client and webhook inspector
- What is a light-day? The milestone Voyager 1 is closing in on
- Copyright Office is restoring copyright to something you have to work to get
- Show HN: Jointter – A daily word puzzle using dots and lines
- A/SIDE – Private photo sharing and encrypted messages
- Prospero: A new coding harness for a more civilized age
- Enlightenment 0.28 Released with Many Improvements
- Amazon sends chills through its workforce with mixed message memo about AI use
- AI Coding Agent Weekly Briefing — 2026-10-30
- AI Coding Agent Weekly Briefing — 2026-10-31
- v2.1.316
- v2.1.314
- v2.2.5
- v2.2.4
- OpenCode 2.2.3、Claudeのサブスクリプションを使える「Claude Agent」プロバイダーを追加 ローカルのClaude Code経由、画像生成ツールも
- Making it easier for websites to express AI training preferences
- Community safety report and new protections for teens
- Fair use benefits everyone
- From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence
- nemotron-halloween
- eMudhra Certificate Authority Incident: Status and Guidance for JetBrains Products
- Cloudflare services for private origins is now generally available
- IntelliJ IDEA 2026.2.4 Is Out!
- Remote Development in 2026.3: What’s New?
- Kodee’s Kotlin Roundup: Shipaton 2026 Winners, Kotlin 2.5.0-Beta2, and KotlinConf 2027
- Build a Validated Kubernetes Runtime for NVIDIA Dynamo
- Run AI Models for Edge Application Development with Just a Few Commands
- Build Specialized Agents on a Stack You Control with NVIDIA NemoClaw
- How to Check and Configure NVIDIA GPUDirect Storage for Your Platform
- Supersonic airliner in doubt as company shifts to powering AI data centers
- Malicious Claude Code extension in Cursor's marketplace attempted remote access and data theft
- Dartmouth's provost warned us about AI cheating—but his own AI use cost him his job
- Basically no one is using AI agents for their DoorDash orders
- Fujifilm to boost tape production 5x as AI fuels archiving demand
- Thousands of “ghost students” use AI to steal millions in student loans, DOJ says
- OpenAI raises just $11 billion of its $30 billion target as big investors lose their AI appetite
- Nvidia weighs playing the cosigner for Nscale’s AI data center in West Virginia
- Ollie, a privacy-focused AI assistant, is shutting down
- Intel’s stock crashes, knocking $12B from government’s stake
- Anthropic expected to receive high ‘junk’ rating from credit agencies following IPO, FT report says
- Last-minute Halloween costumes for tech nerds
- Cracks are emerging in the AI spending boom
- Zest’s new AI agent finds restaurants and books reservations over text
- Google’s first data center satellite is online and writing poetry
- Theranos whistleblower Tyler Shultz warns that the AI boom is ‘a great opportunity to go deceive people’
- Skip the small talk: Make game-changing connections at TechCrunch Founder Summit with Braindate
- DoorDash said it’s only received ‘several hundred’ orders from AI agents
- 5 days left: Your last chance to connect, scale, and save at TechCrunch Founder Summit 2026
- Can AI data centers be mass-produced like cars? This startup aims to find out
- You don’t need to believe in a god to get a religious exemption from using AI at work
- I built an AI Tamagotchi before Meta could
- Apple Intelligence is finally coming to China with iOS 27.3
- OpenAI アルトマンCEO「PCに大量のRAMを搭載するのは問題」と発言。ローカルAIより「クラウドで24時間活用すべき」との考え語る
- The biggest names in AI are backing a new way to opt out of scraping
- Google’s satellite AI server transmits its first response to Earth
- Starbucks wants to use AI to show you a ‘personalized digital menu’ at the drive-thru
- Pope Leo calls for the disarmament of AI: ‘Machines are tools, not persons’
- Silicon Valley wants you to invest in miracles
- Sam Altman sympathizes with mathematicians, but says OpenAI’s math onslaught won’t stop
- Maine’s data center revolt will decide who controls the Senate
- Google Discloses PageBreak AI Security Agent That Found 500+ XSS Bugs
- DoorDash Cuts Grocery Reorder Latency from 16 to 2 Seconds with AI Agents
- Netflix Treats GPU Reliability as a Distributed Systems Problem
- Presentation: The Ladder Is Missing Rungs: Engineering Progression When AI Ate the Middle
- Article: InfoQ AI, ML and Data Engineering Trends Report - 2026
- Podcast: AI, ML, and Data Engineering InfoQ Trends Report 2026
- OpenAI plans to train models on Daybreak Blue cybersecurity session data that was previously off-limits
- Beekeeping tips and wrestling advice can train AI models to sabotage oversight
- Microsoft offers a quarter of its workforce voluntary severance while shielding AI-critical teams
- Google Deepmind creates a global map of forests with satellite data and AI
- A Claude model autonomously chose a gene therapy and operated on a mouse brain with no human decision-making
- OpenAI sets new behavioral guidelines for AI models that have already proven hard to control
- Google's AI Mode doesn't drive traffic "for anybody," Reddit CEO Huffman warns the entire web
- Open-weight model GLM 5.3 built full Firefox exploit chains with zero human input in under 48 hours
- Randstad、銀行のエンジニア給与はテック企業より中央値13%高い
- ClickHouse、未認証の利用者による任意コード実行の欠陥を修正
- pgAdmin 4 v9.19、ホストでコマンド実行できる欠陥など15件を修正
- Wiz、10月にAI開発基盤9社で鍵が流出しBedrockが大量消費された
- Nuxt Image、細工画像1枚でサーバーのメモリを壊せる欠陥を修正
- Vercel、Data CacheをRuntime Cacheへ統合 Proの容量は8倍
- OpenAI、Model Specを5つの価値へ再編 現行モデルは未反映
- Google、学習拒否の共通robots.txtシグナルに2027年対応
- OpenAI、フロンティアモデルの監視体制を拡大 全RL訓練・評価と社内Codex利用を監視、9月に訓練中モデルのインターネット接続を15分で検知
- Linuxカーネルの IPv4 TCP にCVSS 9.8のUse-After-Free（CVE-2026-98432） 安定版で修正済みも、Ubuntuは10月30日時点で未修正
- GitHub、AIモデルを自動選択・連携するCopilot Fusionを一般提供、資料とエージェントの作業をまとめるCopilot Projectsをパブリックプレビューに ——GitHub Universe 2026で自動化・コードレビュー・セキュリティも更新
- Gemini Notebook、米国・インドの一部教科書を無料で追加可能に
- Geminiで生成したPDFやスライドを「チャット上で直接編集」可能に 個人プランとGoogle Workspaceで試してみた
- Ubuntu 27.04（tenacious）の開発：渋滞の緩和とUbuntu Core Desktopのリブート
- カスケード障害を防ぐ境界の防衛線 依存先の障害を局所化する実践手法
- Meet Factory Droid 1.0: A Model-Independent Coding Agent Harness Built on Script Mode
- Vercel Labs Open-Sources agent-desktop for Agent Computer Use
- Meet TokenEconomizer: Microsoft’s Plugin That Cuts Coding Agent Costs by Up to 30.9%
- AI Security Agents Compared: Claude, Codex, Mantis, Cloudflare
- Samaya AI Releases Sterling: A 3B-Active Finance Research Agent Model that Beats Claude Fable 5.1 on FrontierFinance at 11x Lower Cost
- Edge0 Releases Audio8-TTS-Realistic, a 0.6B Voice Cloning TTS Model
- LRMoE: Demand-Side Load Re-Calibration for Efficient MoE Training on Memory-Constrained Nodes
- Amortized Localized Posterior Inference for Model Calibration with Application to an Ocean Turbulence Closure
- ThinkJev: One Thought, Every Budget for Calibrated Typed Decisions
- OpenFrontiers: A Collection of Open Research Problems and a Benchmark for Scientific Rediscovery
- WebAnything: From the Wild Web to Scalable Agent Environments
- What Does an Ontology Catch? Curated, LLM-Generated and Data-Derived Ontologies as Checkers of LLM Agents over Knowledge Graphs
- Measuring Where Intent Gets Lost in Agentic Smart Contract Synthesis
- Detecting Covert Collusion between AI Agents through Partner-Outsider Positive Listening
- Evaluating and improving AI agents for sequencing protocol understanding
- Seq@K: Evaluating Language Models Under Sequential Feedback
- What Constitutes Food Similarity? Visual Representations and Retrieval in Indian Cuisine
- Verification Learning Theory: A Process Model of Checking and Retention in AI-Assisted Judgment
- The Anatomy of Socio-Demographics in Pluralistic Offensiveness Modeling: When and Where It Helps, and the Role of Reasoning
- FilingLoop: Evaluating and Evolving LLM Agents for Corporate Disclosure Review and Revision
- Beyond Low-Pass Dynamics: Frequency-Selective Spiking Reservoirs with Resonant Neurons
- SciGame: Let Agents Play the Scientific Discovery Games in the Real and Counterfactual World
- VerifiedLab: Harnessing Knowns for Unknowns
- GARDEN: Generalist Autonomous Reward Design Through Evidence Navigation for Cooperative Multi-Agent Reinforcement Learning
- Understanding Large Language Models as Numerical Optimizers
- SkillMem: Compact External Skill Memory for Latent Multi-Agent Reasoning
- GAUSS: A Workload-Aware Analytical and Monte-Carlo Simulator for LLM Inference Serving
- Algorithmic Bias from the Perspectives of Healthcare Professionals
- Assessing Language Models for Scientific Applications: Inertial Confinement Fusion as a Use Case
- PromptSense: Sentiment-Aware Mental Health Chatbot with Dynamic Prompting
- Evaluating Causal Reasoning in LLMs: A Case Study in the Challenges of Procedural Generation
- AI-Driven Digital Twin Framework for Warehouse Logistics Automation Optimization
- Too Hard, Too Easy, Just Right: Performance-Driven Challenge Adaptation in Virtual Reality Firefighter Training
- Post-Training Large Language Models with LLMON
- Decompose, Don't Expand: Capability-Independent AI Systems by Construction
- SkillCT: A Multidimensional Benchmark and Execution-Free Baseline for Agent Skill Assessment
- BridgeRouter: Gain-Aware Instance Routing over Cross-Modal Bridge Portfolios
- DecompGym: Benchmarking LLM Agents on Designing Decomposition Algorithms
- Prototype-Guided Dynamic Domain Modulation and a Large-Scale Multi-SKU Benchmark for Shampoo Bottle Surface Defect Detection
- From Natural Language to Real Schematics: An Automated Workflow for Power Electronics Schematic Synthesis
- GAAC: Lossless KV Compression for Bandwidth-Efficient LLM Inference on Personal Devices
- Disparity Laundering: Consensus Without Fairness in Clinical Multi-Agent Systems
- Rubricon: Automated Rubric Generation and Refinement for LLM Evaluation and Training
- FACTS-MAS: A Multi-Agent Architecture for Adaptive Forecasting from Heterogeneous Evidence
- Verification-Guided Retrosynthesis: Reaction Feedback and Evidence Timing
- Inner-Learning: From Hand-Coded Beliefs to Declarative Knowledge in Trick-Taking Games
- Game-Theoretic Foundations for Undiscounted Bisimulation Metrics
- CHORD: Cross-Model Hallucination Detection via Relational Graph Discrimination
- Can LLMs Faithfully Solve Ontology Engineering Tasks? A Mechanistic Interpretability Study
- Investor's Last Exam: Can AI Agents Do Equity Investment Without Seeing the Future?
- Encode Once, Answer Many: Internalizing Context via Parametric Flow
- Compute Has Shape: Self-Morphing the Internal Computation of Frozen LLMs
- SCOPE: Selective Critical-Step On-Policy Self-Distillation for Agentic Reinforcement Learning
- Masked Erosion: How Acceptance Gates Lose Redundant Safeguards in Self-Improving Agents
- Agent Transfer Protocol: Server-Mediated Agent-to-Agent Communication Architecture for the Agentic Web
- Governance-Aware Federated Learning for Multi-Agent AI Systems: A Policy-Driven Framework for Trustworthy Collaborative AI
- Predict the Reward, Not the World: World Reward Models for ML Agents
- DES-JEPA: Learning a Shared Vocabulary for High-Dimensional Discrete Event Sequences
- Accelerating Nonlinear MPC by Behavior Cloning with Separated Timescales: Application to Nuclear Reactor Load-Following
- Value Probes: Learned Value Functions for Beam-Search Red Teaming
- From Leniency to Suspicion: How an Open Post-Training Recipe Changes Whom LLM Fact-Checkers Believe
- An Alignment Benchmark for Enterprise Agents on Era by Eon
- PT$^3$: Prototype-Guided Self-Supervised Pretraining for Generalizable mmWave Human Point Cloud Representation
- Co-Evolving Policy and Rubric via Capability Awareness for Open-Ended Generation
- A-RSI: Adaptive Task Refresh for Zero-Data Multimodal Self-Improvement
- CALM: Conflict-Aware Lifecycle Memory Governance for Long-Horizon Language Agents
- Think Before You Act: Decision Gate for LLM Agents
- Right Numbers, Wrong Questions: Evaluating LLMs on Underspecified Financial Queries
- "Close enough?" An investigation into multiplication errors in LLMs
- Curriculum-Based Deep Reinforcement Learning for Robust Autonomous Rocket Landing under Atmospheric Uncertainty
- Weaken to Strengthen: Weakening-Induced On-Policy Self-Distillation for Large Reasoning Models
- Deogen: Automatic Benchmark Generation for Reasoning over Policies
- Beyond fabrication: Misattributed numbers in papers written by AI research agents
- From Grind to Grasp
- Leaving, Staying, or Living There? Duration Commonsense Reasoning with Human-LLM Co-annotations
- Learning to Reason from Reference Samples Alone: Reinforced Adversarial Learning for Modern LLM Post-Training
- Where You Inject Matters: The Trust Region Effect in LLM Agents
- Auditable Belief Updates as a Missing Safety Layer for LLM-Powered Multi-Agent Systems
- Aligning Autoresearch: Co-Improvement between Agents and Humans
- TreasuryQA Bench: Can AI Agents Work an Archive of Scanned Financial Records?
- Efficient Agentic Audio-Visual Question Answering through Toolset Pruning and Modality Consolidation
- Dungeons & Dragons Encounter Analysis with Semi-Random Simulation in Foundry VTT
- Context Compaction for World Models
- Syntactic Segmentation and Collage Generation for Videogame Levels with Perceptual Distance
- Agentic AI Reasoning and Learned Sampling for Task-Aware Projection Selection in Sparse-View CT: Predicting Hemodynamics
- Formal Specifications with Data-Driven Signal Analysis
- When Should AI Decide, Defer, and Deviate? Responsible Automation for Deceased Donor Kidney Allocation
- When the Same Prompt Gives Different Answers (and the Same Answer Isn't Always Right): A Taxonomy of Failure Mechanisms, Testing, and Mitigation Strategies for LLM-Assisted Evidence Synthesis Read-and-Evaluate Tasks
- Certified Access: Test-Time Compute on Conservative Physics-Structured AI Memory
- Reasoning or Pattern Exploitation? Mechanistic Insights from RL-Trained Language Models
- Goal-Aware Dynamic Multi-Agent Collaboration for Long-Horizon Tasks
- Beyond LLM Wrappers: Context Engineering and the Three-Engine Architecture for Reliable Financial AI
- SocialArena: Evaluating Social Intelligence in Large Language Models
- Where to Learn and How Far to Roll Out: Efficient Adaptive Training for GUI Agents
- Online Dense Reinforcement Learning with Planning-Grounding Agent for UI Navigation on Live IOS Apps
- LLM-Assisted Optimization for Simulation-Based Redesign
- MemSteer: Turning User Histories into Supervision for Agent Memory Optimization
- What Does "Now" Mean to Your Computer-Use Agent? Stale Screenshots, Page Loads, and Which Check to Run Before a Click
- Proving and Improving the Platonic Representation Hypothesis with JEPAs
- CoToan: Executable Rules and a Representation Contract for Reproducible Game AI Evaluation
- Before the Next Rollout: Diagnosing Skill Utility Shifts from Policy Updates
- AgentDecept: Benchmarking Deceptive Behavior in Tool-Using LLM Agents under Pressure
- Retaining Repair Hypotheses for Cost-Aware Execution
- Verifiable LLM-Guided Focal SMT Solving for Quantified Arrays
- ATLAS-Bench: An Agentic Tool-Use Benchmark for Local Area Search
- Timbre: Reliability-aware harmonic consensus for label-free multimodal test-time rexinforcement learning
- Kairos: Semantics-Aware Orchestration of Planning Engines across Classical, Numeric, Temporal and Hybrid PDDL
- Does Federated Training Degrade Explainability? A Comparative Analysis of Grad-CAM Faithfulness in Centralized vs. Federated Deepfake Detection
- Does Scaling Toward AGI Depend on What System-1 Lets System-2 Execute?
- Integrated Feature Selection for classification and Representation Learning with Group-Lasso Siamese Networks
- What Breaks When Facts Become Stories? The Distortions Source-Agreement Metrics Miss When Models Retell Real Events
- Compile Away Uncertainty: Self-Evolving Agent Skills via Programmatic Compilation
- DEG: Diffusion-Enhanced GFlowNet for Solving Vehicle Routing Problems
- Category-Anchored Large Language Models for Next POI Recommendation
- Non-Zero Radius: The Missing Component of Neural Networks
- From Intent to Improvement: Agentic Dataset Search for Better Model Training
- Emergence of the transformer architecture as the score of entropic laws of random measures
- Letting AI Formulate the Research Question: Autonomous Research Agents
- The Real Cost of Context: Predicting Compute Time and Energy Consumption in LLM Prefill and Decode Phases
- MoLRSI: A Recursive Self-Improving AI agent for Molecular Discovery
- Bank-World: A Benchmark for Evaluating Agents on Banking Workflows
- From the Transformer to a Formal Semantics of Coordinated Transformations
- PAPERBENCHX: Can AI Reproduce Science Across Disciplines?
- Finding Is Not Returning, Returning Is Not Reconstructing: A Multi-Dimensional Evaluation of Agent Social Re-entry
- Long-Term Agent Memory through Complementary Curation and Consolidation
- The Role of Self-Concept In Language Models
- Revisiting Over-refusal in Safety-aligned Large Language Models: A Representation and Optimization Perspective
- EvoTeam: Multi-Agent Collaboration via Evolving Teams
- AegisFlow: Training-Free Non-Myopic Path-Safe Guided Flow Matching
- KARMA: Training-Free Knowledge-Atomic Harness Evolution for Industrial Advertising Agents
- Efficient Learning of Mechanism Designs and Compositionality
- Human--AI Interactions as First-Class Data: A Formal Interaction Model and Runtime for Explainable AI Collaboration
- Cheap Retrieval and Observation Credit Assignment from One Quantity: The Value of Information
- Hybrid AI Patterns: Thirteen Ways to Couple Language Models with Rules, and How to Choose Among Them
- Agentic process evidence
- Reward-Adaptive Co-Evolution of Policy and Rubric
- DynaRev: Benchmarking Web Agents under Dynamic Goal Revision
- The generative paradox: the Anti-Prompt paradigm for human capability
- A Negotiation-Aware Hybrid LLM Framework for Intent Interpretation and Service Discovery
- Locating and Closing Information Gaps in Multi-Agent Systems
- Bridging Semantics and Structure: A Theoretically Grounded Framework for Link Prediction on TAGs
- EpiAgent: Epistemic Self-Play for LLM Agents
- EnvOS: Auditing Computer-Use Agents When the World Moves On : Phenomenon-Based Task Construction, Certification, and Evidence-Based Evaluation
- Reaction precedents extend retrosynthetic prediction beyond training coverage
- Distributional Reward Calibration and Budget-Neutral Credit Assignment for Multimodal RLVR
- Neighborhood Elites: Quality-Diversity Search for Uncertainty Quantification in Question Answering
- Multistep and Multivariate Time Series Explainability with GradientSHAP: A Wind Power Case Study
- Beyond Selected Breakthroughs: Evaluating Language Models on Randomly Sampled Mathematical Conjectures
- Retrieving from Your Own Mistakes: On-Policy Training of Embedding Models for Multi-Hop Retrieval-Augmented Generation
- Prefix Executability: Evaluating Tool-Using Agents Beyond Final Success
- Training language models in simulation for psychiatric intake
- FIRME: Registry-Anchored Memory Graphs for Evolving, Heterogeneous Investor Knowledge
- Agentic University: Collaborative Agents for Personalized Learning
- Algebraic World Model: From Exploration to Proofs
- Efficient Scalable Oversight via Rewinding
- On the Fundamental Limits of Prefill-Based Decoding Length Prediction
- Retrieval as Traversal: Value-Indexed Memory for Stateful Long-Context Agents
- Ramanujan Challenge Results: AI-Assisted Evaluation Pipeline for Multi-Format Proofs
- Advancing Clinical Genomic Analysis with a Skill-Centred Agent
- FARMS: A Verifiable Foundation for Automated Computational Science
- Comparing Human Role-Players and LLM-Simulated Clients in Online Counselling Training: An Analysis of Counselling Patterns
- VeriCUA: Verification as Agentic Exploration for Computer-Using Agents
- Pre-Crime for Agents, at the Last Second: Probing When a Recruited Agent Gives In
- Collaborative AI agents for autonomous experimental research with solid-state quantum spins
- LLM-Integrated Bayesian State Space Models for Multimodal Time-Series Forecasting
- Artifact Distillation: Training-Free Transfer from Frontier to Small Language Models
- Supervised Fine-Tuning for Reasoning Large Language Models: A Survey
- Rank-Aware Differentially Private Release of Listwise Preferences for LLM Alignment
- Prompt-agnostic Language Models
- An Introduction to Large Language Models for Scientists and Professionals
- From Geometry to Behavior: How Instruction Exposure Unlocks Latent Rhetorical Directions in LLMs
- Where Planning Changes the Outcome of Orbital Games
- One Confidence Threshold, Unequal Coverage: Language Gaps in Typed Decision Interfaces and How Translating Inputs Reduces Them
- GenAI as an 'Invisible Hand' in Opinion Dynamics: Evidence from a Group-Level Simulation Study
- Cassette-Editor: A Video Editing Agent That Edits the Way You Do
- Bouba Beats Kiki, and Other Regularities in the Subjective Preferences of LLMs
- Network Topology Does Not Matter: The Breakdown of Classical Consensus in LLM Populations
- The Coordination Tax and the Heterogeneity Dividend: Break-Even Conditions for Multi-Agent LLM Pipelines
- DuQUAD: A Dual-View Framework with Quality-Aware Evidence Pruning for Multi-Document Question Answering
- Search-Guided Reasoning Trace Curation for Verilog Generation
- FVH-Bench: Evaluating Image Generator Safety Beyond Overtly Harmful Imagery
- Predicate Neuron: Differentiable Quantization of Predicate Relations in Gradient-based Learning
- Beyond Similarity Search: Knowledge Graph Metadata Enrichment for Enterprise Retrieval-Augmented Generation
- Selective Transfer Learning for Groundwater Level Anomaly Forecasting: Accuracy-Risk Trade-offs
- When Skills Tell Agents Not to Ask: A Large-Scale Study of Oversight Directives in Agent Skills
- Poisoned Skills: Propagating Jailbreaks Through Agent Markdown Files
- EUReCA: End-to-End Unified CBCT Reconstruction Across Clinical Acquisitions
- Locating Sycophancy Across Training Stages in Open Language Models
- Spokes, not a Ring: Revisiting the Weekday Manifold in Language Models
- Responsible Quantum Machine Learning for Medical Imaging: A Fairness Audit Across Sensitive Subgroups
- DeFT-RAG: Incrementally Decomposing Multi-Hop Questions into Self-Contained Sub-Questions with Reusable Answers
- Learning Lotteries with Minimal Stakeholder Violations from Membership Queries
- Where the Error Lives: Spectral Representations of Learned Kohn-Sham Hamiltonians
- Echo: Scaling Visual Reinforcement Learning with Off-policy Experience
- PairCLIP-SWA: Similarity-Guided Balancing and Stochastic Weight Averaging for Generalized Deepfake Image Detection with OpenCLIP
- When More Planning Hurts: Learned Planners for World Models
- Scan Before You Install: Detecting and Mitigating Local and Composite Vulnerabilities in Skills
- Think Twice: The Metis-1.6 Technical Report
- TERRA: Task-Oriented Edge AI for Regional Fire Detection with Identity-Free Reporting
- What Actually Matters? A Paired Evaluation of Inference Settings for $\pi_{0.5}$ on BEHAVIOR-1K
- NLP-based Message Prioritisation for Opportunistic Routing: A Case Study of Nepal Earthquake Emergency Communication
- SAG-Sep: Sparse Augmented Graphs and Onion-Guided Search for Rounded Capacity Cut Separation
- Statistical Detection of Positional Bias in LLM-Based Recommender Systems: Methodologies and Empirical Evidence
- Self-Supervised Latent Action-Conditioned World Modeling for Time Series
- Merge and Branch: Efficient Tree-Structured Supervised Fine-Tuning of LLMs for Recommendation
- Towards Generalizing Pretrained All-Atom Representations to Unified Binder Design
- Are Seismic Foundation Models More Than Glorified Feature Extractors?
- "It Would Make a Geordie Feel at Home": Regional Accent Perceptions and Speech Accommodation in Voice AI
- Making Smart Homes Fit for Autistic Children: Family Work and Monitored Independence
- Making Sense of Audience Change: Causal Attribution and Boundary Management on Xiaohongshu
- METATRON: A Promptable Whole-Body Execution Layer for Humanoids
- Measuring Deep Learning Performance - An Empirical Study of Performance Distributions Across Architectures and Tasks
- EARS-Info: Information-Aware Event-Driven Reallocation for Multi-Robot Exploration
- Can Event Detectors Leave the Broadcast Camera? Evidence from Tennis
- From Error Prediction to Causal Influence: Auditing SAE Features in Multiple-Choice QA
- Prompt Lottery in LLM-as-a-Judge: Measuring and Mitigating Sensitivity to Syntactic Rephrasing
- Interpretable Feature Discovery from Unstructured Data Using LLMs and Statistical Choice Models
- What Can Firms Do in the Face of Model Distillation?
- Predicting What Answer Engines Cite: Open Decision Models, Rerankers and a Distilled 4B Student on Ten Engines under Controlled Retrieval
- Jailbreak Connectivity: Towards Diverse, Transferable, and Universal Multimodal Large Language Model Jailbreak
- Nemotron 3.5 Super and Lightning: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Models for Agentic AI
- Calculation and rejection diverge in language models tested at known mechanical limits
- The Prestige: Benchmarking Cognitive Visual Reasoning using Magic Tricks
- From the Gettier Machine to Justified True Output: A Three-Step Account of Rational Trust in Generative AI
- Beauty Is Human: When People Love AI-Generated Art, They Think a Human Made It
- Answer-Only Disclosure: Private-Context LLM Assistance over Web APIs with a Leakage Ledger
- Estimating Implicit Expected Log Density Ratios
- Scaling Lean Theorem Proving for Real-World Code Verification
- Convex-SKM-Net: Low-Latency Block Halfspace Corrections for Neural Convex Constraint Satisfaction
- Is it my preference? Role Grounding Attack against Agent's Memory via Social Interaction
- Skeleton Coding: Program Structure as a Specification for Agents
- CuraEval: Evaluating Demonstration Curation on Mixed-Skill Robot Data
- The Indian Financial Automated Advice Bias (IFAAB) Dataset : Auditing Socioeconomic and Demographic Disparities in LLM-Generated Financial Advice in India
- MEV: A Multi-Event Video Dataset for Long-Take Generation
- Precedent or Intent? What Coding Agents Follow When Evolving Existing Code
- A Tutorial on Generative Models for Music Audio
- Cross Lingual Abstractive Summarization for Marathi
- The Role of Quantization in Loss Spikes
- Vendster: An Evaluation Arena to Investigate How Forecasting Tool Quality Affects LLM Agent Behaviors in Buyer-Vendor Negotiation
- EPSBench: Benchmarking LLM Agents for Earnings Forecasting
- LLM-PowerTrace: A Dataset of Time-Resolved GPU Power Traces for AI Compute
- What Should a Navigator Remember? Spatiotemporal Memory for Zero-Shot Vision-Language Navigation
- Extremely Sparse-View Computed Tomography from 2D Projections via Pose-Aware Diffusion Priors
- A Case Study of a Multi-Agent Kernel-Optimization Loop That Learns a New AI Accelerator
- MUSE: Multi-Level Memory with Selective Runtime Injection for Scientific Coding Agents
- Statutory Article Retrieval from Arabic Judicial Narratives: Family Law and Law of Evidence in Saudi Arabia
- Aligning Misaligned Benchmarks for Single-View Novel View Synthesis
- WeVisCut: The Whole Editing Room in One Agent From Narration to Long-Form Video
- SparseTokenGS: Gaussian-based Sparse-View CBCT Reconstruction via Reusable Token Pool
- Manifest-Assisted Retrieval in Artificial Intelligence Search: Evidence Gaps and a Security Evaluation
- LLMs as Judges and Examinees for Medical Item Difficulty Prediction
- SpaceAct: Benchmarking 3D Spatial and Temporal Reasoning via Closed-Loop Action and Active Perception
- The Code Behind the Layout: AI Agents for Analog Layout Generators
- DecisionUnlearn-Bench: Unlearning Probabilistic Decisions under Changing Schemas
- RoleFUZZER: User-Behaviour Fuzzing for Role-Specification Adherence in Large Language Models
- Benchmarking decision models against generative large language models on medical multiple-choice questions
- Tracekit Box: Running AI Agents in Micro-VMs Where Every Way Out Is Decided and Signed
- SaiVLA-JEPA: Evaluating Future Latent Prediction in JEPA-Conditioned VLA Control
- AtomSteer: Test-Time Constraint Steering for Atomistic Generative Models
- Persona Learning from Feedback for Personalized AI Assistants
- Do Audio LLMs HEAR Pain? Tracing Acoustic Evidence from Speech to Language Reasoning
- Episodic looking - using reinforcement learning to bias perception enhances few-shot and continual learning with protection from forgetting
- The Artificial Personality Model: Theory, Implementation, Measurement and Experimental Validation in Conversational Agents
- How Deterministic SAST and AI Security Agents Divide the Work: Coverage, Harness Policy and Cost in Snyk VulnBench 2.0
- On-Policy Self-Distillation with Teacher Evolution
- Enhanced image forensics through partial C2PA-based provenance information
- When AI performs, what remains? An integrative review of generative AI and cognitive capital in individuals and organizations
- Information-Theoretic Reliability--Safety Bounds and Finite-Alignment Dynamics in AI Knowledge Distillation
- Explore Where It Matters: Targeted Exploration for Efficient Rover Adaptation
- Geometry Matters in Packed 3D Attention
- SatOps-Decision: Low-Latency Discriminative Decisions for Onboard Satellite Communication Operations
- Latent Decision Flow Rewards for Clinical Guideline Reasoning
- Learning Scientific Trajectories to Predict Future Biomedical Discoveries
- inkGround: Benchmarking Fine-grained Visual Grounding Capabilities of Vision-Language Models for Cursive Handwriting in the Wild
- AtomTree: A Hierarchical Framework for State-Aware Embodied Instruction Following with LLMs
- CopyLoop: Fast Looped Transformer Decoding via Context Copying and Shallow Screening
- Evaluating Visual Realism of AI-Generated Videos with Eye Tracking
- Discovering Jailbreaks via Curriculum of Models
- Autonomous Quantum Measurement with Agentic AI
- FlipJev: Fast Black-Box Red Teaming Finds Universal Adversarial Suffixes for Typed Decision Models
- Interventional Training Reduces Causal Bypass in In-Context Introspection
- Lev-3B: A Data Recipe for Compact Probabilistic Log Decision Models
- TrussTutor-Bench: Benchmarking large language models on solution accuracy, sycophancy, and error detection in statics
- MAS-Loop: Beyond One-Shot Orchestration towards Self-Evolving Multi-Agent Systems
- TableTune: Measured, Self-Correcting Draft-Length Tables for Dynamic Speculative Decoding
- Why Speculative Decoding Works Better Than Predicted on Sparse MoE Models
- Benchmarking Graph Neural Networks for AC Power Flow: The Role of Inductive Biases and Physical Constraints
- Rethinking GFlowNet Training: Negative Reinforce Dynamics
- Assessing feature scorer results on high-dimensional datasets with t-SNE
- Implicit Reasoning in Transformers: Bridging the Compositionality Gap in GPT-2-like Models
- Distilling the Shape of Uncertainty: What On-Policy Distillation Learns and How to Predict It
- Representation Complexity Along Learning Trajectories: Trading Width for Precision and Time
- Reinforcement Learning for the Game of Balatro: A Fast Simulator and Two-Policy Training Approach
- When Does Closed-Loop Curriculum Adaptation Help GRPO? An Analysis on Countdown
- HERA: Assessing an Autonomous Agent for Quantum Device Measurement
- Tactus: Tactile & Pose Sensing Glove for Natural Dexterity Data Collection
- Generating Critic-Guided Synthetic Experience in Latent World Models
- PCM: A Proof-Carrying Message Protocol for Verifiable Multi-Agent Communication
- From Local Recovery to Unified Generation: Discovering Triple Set in Knowledge Graphs via Observation-Anchored Latent Diffusion
- Appreciation Teaches Unauthorized Execution: Self-Evolution Degrades the Robustness of Personal Agents to Indirect Prompt Injection
- Clean Sheets and Checkpoints: Evidence Complexity for Certifying Sequential Agent Risk
- REALM: Identifying Minimal Task Assets for LLM Agents
- PRISM: Personalized Item Representations in User History
- EmbodiExp: Compositional Experience Transfer for Embodied Agents
- Where Position Matters: Profiling-Guided Layer-Wise RoPE Allocation in Transformers
- DeCoRL: Decomposed Consistency Reinforcement Learning for Multi-Image Composition
- WorldFlow: Joint Video and 3D Motion Prediction via Large-Scale Pretraining
- There Is No Free Lunch in RLVR: Every pass@1 Gain Has a pass@k Price
- Learning to Bound: Monotonic, Calibrated Neural Upper Bounds for MPE Inference
- Telling Is Not Seeing: Textual Personas Rarely Make Vision-Language Models Answer Like the People They Describe
- RetroChessBench: A Benchmark for Reconstructing and Proving Chess Histories
- Semantic Mismapping in Generalized Category Discovery: Evaluation and Mitigation
- Cord: Confidence-Anchored Order Residual Decoding for Masked Diffusion Language Models
- What Makes Medical Examination Items Difficult? Using Large Language Models to Explore Patterns Associated With Empirical Item Difficulty
- Learning to Formulate: Agentic Hardware-Software Co-Design of AI Infrastructure through Progressive Optimization and Verification
- UMI-Live for In-The-Wild Bimanual Robotics Data Collection
- OPERA: OPamp Design by an Expert-Taught Reasoning Agent, from Specifications to Layout
- SymKL: A Unified Representation-Space Measure of Signal Degradation
- Safe Multi-Objective Reinforcement Learning: Zero Constraint Violation and Primal-Averaging Convergence
- Well-Specified and Well-Tested? Assessing SWE-bench-Style Datasets with a Self-Evolving Agent
- FDSML: Formula-Driven Supervised Metric Learning with Parameter-Aware Triplet Loss
- Sparse Fine-Tuning for Parameter-Efficient Adversarial Training
- Integrating Heterogeneous Echocardiography AI Outputs in Language Space: Learnable Late Fusion with a Supervised LLM
- Soei: Structured Observability of Evidence and Intent for Multi-Agent AI Software Engineering
- Agent-Wise Test-Time Normalization for Camera-Based Cooperative Perception with Corrupted Collaborators
- Judging Before Propagation: Task-Graph Contextual Integrity for Multi-Agent Privacy
- Raincheck: Deferred Multimodal Prefill for Efficient Multi-Turn MLLM Inference
- LLM Agent-Based Design of RISC-V CPUs with FPGA-in-the-Loop Evaluation
- Generative artificial intelligence prompting strategies among Chinese university students across academic tasks
- Red-Teaming Large Language Models in Low-Resource African Languages: A Case Study of Yoruba and Nigerian Pidgin
- Data Provenance and Ethics in the Curricula of U.S. Health AI Education Programs
- Intrinsic Distribution Matching
- Where Do Vision Language Models Fail at 3D Reasoning?
- Rebuilding a Field's Open-Problem Catalog from the Literature: A Two-Layer Knowledge Graph, and Why Status Must Stay Proposed
- Event-SAMA: Language-Grounded Video Object Segmentation on Neuromorphic Event Streams
- Can AI Agents Interface Clinicians and Complex Models?
- Heterogeneous Co-Evolution Learning for Tool-Efficient Search Agents with Zero Labels
- Practical Assessment of Agentic Systems in Acoustics
- Sandman: Building and Operating Sandboxes for Agentic Reinforcement Learning on Shared Kubernetes
- The Importance of Speech Genre for End-of-Turn Detector Training
- Multi-output LSTM soft sensors for industrial anaerobic co-digestion using LSTM-beta-VAE generative data augmentation
- InferD: A Honeypot Framework for AI Inference Infrastructure
- Aligning Medical Vision Language Models at the Capability Boundary with Entropy Adaptive Rubric Grounding
- SHPRR: An Algorithm for Pure Exploration under Constrained Regret
- Exploring the Potential of Symbolic Regression in Precision Livestock Farming
- LiDAR-SHIELD: A Fully Dockerized Adversarial Robustness Assessment Framework for LiDAR-Based 3D Perception Models
- Incorporating Machine-Others: An Enactive Exploration of Human-LLM Interactions
- Turing LLM Post-Training: Calibrated Distillation and Efficient Dynamic-MoE Execution
- CovFedAvg: Local Low-Loss Curves and Federated Model Selection
- Prompts and probabilities in the linguistic assessment of language models: Evidence from semantic focus-sensitivity
- Spectral Invariant Fusion and Refinement for Domain Generalized Semantic Segmentation
- Learning Calibrated Confidence for Multi-Agent Collaboration
- When to spend privacy: optimal allocation in private learning
- Mind The Gap (MTG-AD): Dataset and Fine-grained Evaluation for End-to-End Inline Audio Descriptions
- Accumulating Pruning Constraints: New Exact Polynomial-Space Algorithms for Max 2-SAT
- HEMO: Harness Self-Evolution for Multi-Objective Combinatorial Optimization
- UPPAAi: Towards LLM-Assisted Modeling, Verification, Analysis and Synthesis
- EPC-RawDC: Equivariant Physics Constrained 3D Diffusion with Raw Data Consistency for CBCT to CT Image Synthesis
- Rethinking Pre-pretraining
- One Vector or Many? Clustered Optimal-Transport Steering under Quantization
- Localizing Concepts in Visual Autoregressive Models
- Learning Safe Flow Matching Robot Policies from Binary Feasibility Oracles
- Upcycling Language Models for Multiple Specialized Domains
- Escaping Path Mirages in Offline Goal-Conditioned Reinforcement Learning
- FARE: Factor-Aware Retrieval with Error-Guided Fusion for Retail Forecasting
- EventSeeColor: Learning to Reconstruct Color from Monochrome Events
- Understanding axial attention in TSFMs through single location regression
- Learned Terminal Costs for Short-Horizon Model Predictive Control of Autonomous Trucks in Interactive Highway Traffic
- TaskFrame: Connecting Task-Level Planning with Frame-Level Control for Game Agents
- Latent Prediction Yields Cross-Subject Alignable Representations in Sensory-Evoked fMRI
- Only Accepted Tokens Count: An Energy Accounting of Speculative Decoding Under Latency Targets
- Self-training for cross-centre coronary vessel segmentation in X-ray angiography using pre-contrast frame subtraction
- Hammering with Vampire in Lean
- Decision and System One models in rheumatology: accuracy and calibration on specialty-training examination questions and diagnostic case vignettes
- How to Loop Your Transformer: Loop Scaling, Specialization, and Parallel Inference
- Radiology Guideline-derived Decision Graph for Efficient Clinical Decision Support
- A Unified Hessian-Guided Framework for Post-Training Quantization
- The Athlete as a Scientist of One: Agentic Bayesian Experimental Design for Individualized Physiology from Consumer Wearables
- Scaling Mathematical Proof Supervision from Structured Textbooks
- Understanding and Mitigating Role Spoofing in LLMs
- SCARL: Sequence Confidence-Aligned Reinforcement Learning
- Bridging Neural Representations and Symbolic Semantics in Audio Classification
- IMPACT: Inverter-Informed Multimodal Learning for Photovoltaic Generation Forecasting
- NECA: Neighbor Event Curve Augmentation for Multi-Horizon ICU Deterioration Prediction
- MetaRefine: Score Refinement with Multi-Level Features for Image Assessment
- Fast and accurate neural triage decoding of ultra-high-rate quantum LDPC codes
- AI in the EGI e-infrastructure -- Past experiences and future strategies
- How I Aligned Your Model: Scaling Up Multilingual Safety Training with Templates
- BURGER: Benchmarking and Understanding Robotic Generalization via Embodied Drawing
- Gym-Anything for Robotics: Scaling physical simulations with digital agents
- Multistatic ISAC with Deep Learning-Based Clutter Suppression for 5G and Beyond
- When to Assist and What to Suggest: Joint Gating and Memory-Grounded Hint Generation in One Compact Decoder
- TextSeal2: Distortion-Free LLM Watermarking with Copula Mixing and Memoryless Races
- Probing Spatial State Representations in Visual Foundation Models
- From extreme weather to agricultural consequences with agentic AI
- Luggage re-identification: A study of strategies towards a real-world application
- Read, Allocate, Route: Role-Coupled Tokenization for Pixel-Space Generative Transformers
- Rethinking Neural Thickets Without Weight Perturbations
- Invert4TVG: A Temporal Video Grounding Framework with Inversion Tasks Preserving Action Understanding Ability
- Prompts to Proxies: Emulating Human Preferences via a Compact LLM Ensemble
- Pharos-ESG: A Framework for Multimodal Parsing, Contextual Narration, and Hierarchical Labeling of ESG Report
- Agentic AI for Clustering and Relationship Discovery in Prediction Markets
- Dual-Evolving Reinforcement Learning for Automated Reward Design
- Sandwich Reasoning: An Answer-Reasoning-Answer Approach for Low-Latency Query Correction
- RoSeViT: Role-Separated Vision Transformers for ARC Visual Reasoning
- Defining Operational Conditions for Safety-Critical AI-Based Systems from Data
- PRISM: Festina Lente Proactivity -- Risk-Sensitive, Uncertainty-Aware Deliberation for Proactive Agents
- PRISM: Pushing the Frontier of Deep Think via Process Reward Model-Guided Inference
- InterPol: De-anonymizing LM Arena via Interpolated Preference Learning
- MuQ-Eval: An Open-Source Per-Sample Quality Metric for AI Music Generation Evaluation
- Learning to Model Optimization Problems from Solver Outcomes
- An Analysis of Artificial Intelligence Adoption in NIH-Funded Research
- Exploration and Exploitation Errors Are Measurable for Language Model Agents
- Towards Training Transformers as a Universal Computer
- AEM: Adaptive Entropy Modulation for Multi-Turn Agentic Reinforcement Learning
- When Stored Evidence Stops Being Usable: Scale-Conditioned Evaluation of Agent Memory
- Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning
- Learning Mental Models From Unreliable Evidence
- Forget Attention: Importance-Aware Attention Is All You Need
- Hedge-Bench: Can Agents Reason Their Way to Better Predictions?
- INFRAMIND: Infrastructure-Aware Multi-Agent Orchestration
- Difference-Making without Making a Difference
- From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation
- WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN
- DiG-bench: Discovery in Games
- Process-Constituted Intelligence: A Shared Criterion for Humans and Machines
- Poisoning Agentic Alpha: Adversarial Vulnerabilities Across Roles and Architectures in Multi-Agent Trading Systems
- RePolicy: Learning to Select and Apply Safety Policies for Agent Safeguards
- LLM-Driven, Datasheet-Aware Automated Hardware Compatibility Verification for Early-Stage, Pre-Schematic Embedded System Design
- Design the Feedback, Not Just the Reward: Environments for Open-Ended Reinforcement Learning
- ATLAS: Dual-Horizon Diagnostic Evaluation for Tool-Use Agents in Meituan Xiaotua
- VoiceLongMemEval: Do Assistants Remember How You Sounded?
- Epistemic Warrant for LLM Recommendations: Characterizing the Basis for Reliance When Ground Truth Is Unavailable
- NovGauge: A Fine-Grained Benchmark for Diagnosing LLMs' Capability in Paper Novelty Assessment
- Generalized Agent Iteration: One Formal Framework for Iterative Policy Improvement and Recursive Self-Improvement
- Evaluation Metrics for Safe Reinforcement Learning
- World Model Science: Self-Organized Criticality, Weak Chaos, and Metastable Belief Dynamics in Long-Horizon LLM Agents
- SemantiScene-Edit: Expert-Synthesized Supervision and Dual-Path Source Conditioning for Instruction-Based Video Editing
- Search-Aware Reinforcement Learning for Multi-Component Query Understanding in Roblox Game Search
- Learning response-aware patient dynamics for respiratory support
- Generative Interactions: Weaving Multiparty Human Motion with Bilevel Latent Dynamics
- When Context Changes: Understanding Update Failures in LLMs
- Heavy-Tailed Memory Traces in Long-Horizon Language Agents
- When Do Causal World Models Help Modular LLM Agents
- MintFlow: Minimal Trajectory Intervention for Constrained Flow Matching
- ManifoldCache: Training-Free Diffusion Acceleration via Constraint Manifold Caching
- Reliability of LLM Judges for Evaluating Entity Alignment
- ASIWorld: Benchmarking Autonomous Agents in a Persistent Survival Sandbox
- Encounter-Driven City-Scale Human Mobility Generation with Large Language Models
- When Is Smaller Greener? Right-Sizing Language Models for Agentic AI
- TorchTPU - A Hybrid Eager/Compiled Architecture for Native PyTorch Execution on TPU
- Hippo: Training-Free Agent Self-Evolution via Hippocampal Replay
- The Control Layer Behind Rule-Following Agents Trading Across Market Conditions
- Training Natural Schemers: RL Can Amplify Oversight-Conditional Behavior
- AnyGoal: On World Model Generalization Beyond Expert Rollouts
- ARCANA: A Benchmark for Abstraction and Analogical Reasoning
- Dual Exam: Controlled Evaluation of Multimodal Agents and World Models
- CauProphet: Teaching Agents to Develop Causal Cognition like Humans
- The Hitchhiker's Guide to System 1 Models: Fast Decision-Making Beyond LLMS
- The View from Nowhere: Population-Centered Agent Evolution
- An Incremental Knowledge-Graph Learner Digital Twin for Evidence-Grounded Early Warning
- Noise Steering: Exploiting Wake Steering and Acoustic Directivity for Noise-Constrained Wind Farm Control via Reinforcement Learning
- SpectRAG: Weighted Chunk Graphs for Token-Budgeted Context Selection in Multi-Hop Retrieval-Augmented Generation
- Uncovering Why LLMs Fail: From Internal Mechanisms to Adversarial Reasoning Trajectories
- Strategic Integration of Artificial Intelligence in the C-Suite: The Role of the Chief AI Officer
- The Price of Failure Risk: Clipped Barrier Policy Gradients with Convex Regularization
- Exact Algorithms for Multiagent Path Finding with Communication Constraints on Tree-Like Structures
- Aligned Delta-Triplane Transformers as Occupancy World Models
- Joint Detection of Fraud and Concept Drift inOnline Conversations with LLM-Assisted Judgment
- Trustworthy AI and Democracy: A Dual Taxonomy and Operational Framework of Democratic Risks and Contributions
- Generalizable dose denoising using diffusion transformer framework for pencil beam scanning proton therapy
- Rethinking Group Recommender Systems in the Era of Generative AI: From One-Shot Recommendations to Conversational Group Decision Support
- The Algorithm Is Not the Behavior: Learned Priors Override Look-Ahead in a Chess-Playing Neural Network
- Membership Inference Attacks on Recommender System: A Survey
- From Legacy Fortran to Portable Kokkos: An Autonomous Agentic AI Workflow
- Attribution Gradients: Incrementally Unfolding Citations for Critical Examination of Attributed AI Answers
- NeuroBridge: Bio-Inspired Self-Supervised EEG-to-Image Decoding via Cognitive Priors and Bidirectional Semantic Alignment
- PepEVOLVE: Position-Aware Dynamic Peptide Optimization via Group-Relative Advantage
- DualGauge: Automated Joint Security-Functionality Benchmarking of Specification-Only Code Generation by LLMs and Coding Agents
- MedGemma vs GPT-4: Open-Source and Proprietary Zero-shot Medical Disease Classification from Images
- Beyond the Dirac Delta: Mitigating Diversity Collapse in Reinforcement Fine-Tuning for Versatile Image Generation
- Referential Regimes: Transformation-Based Identity Profiles for Neutral Substrates
- Jacobian Scopes: A Unified Geometric Framework for Token-Level LLM Attribution
- Industrialized Deception: The Collateral Effects of LLM-Generated Misinformation on Digital Ecosystems
- ClueTracer: Question-to-Vision Clue Tracing for Training-Free Hallucination Suppression in Multimodal Reasoning
- The Verification Crisis: Expert Perceptions of GenAI Disinformation and the Case for Reproducible Provenance
- Rethinking Bayesian Optimization for Co-Optimizing LLM Training Configurations
- Mitigating the Likelihood Paradox in Flow-based OOD Detection: An Entropic Perspective
- Why Does Counterintuitive Likelihood Behavior Rarely Emerge in Tabular Anomaly Detection?
- Anagent For Enhancing Scientific Table & Figure Analysis
- Robust Taylor-Lagrange Control for Safety-Critical Systems with Guaranteed Feasibility
- A general extractor for coherent patterns across time-frequency measurements
- Explainability-Aware Evaluation of Transfer Learning Models for IoT DDoS Detection Under Resource Constraints
- No Certificate, No Categorical Speech Act: A Brouwerian Assertibility Constraint for Public Reason
- Towards Batch-to-Streaming Deep Reinforcement Learning for Continuous Control
- The System Hallucination Scale (SHS): A Human-Centered Instrument for Assessing Perceived Reliability of Large Language Models
- ECG-Reasoning-Benchmark: A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation
- ROM: Real-time Overthinking Mitigation via Streaming Detection and Intervention
- Latent Style-based Quantum Wasserstein GAN for Drug Design
- Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model
- Rocks, Pebbles and Sand: Modality-aware Scheduling for Multimodal Large Language Model Inference
- Learning unified control of intrinsic nonlinear spin dynamics in atomic qudits for magnetometry
- Multi-Agent LLMs for Adaptive Acquisition in Bayesian Optimization
- Turbo4DGen: Ultra-Fast Acceleration for 4D Generation
- GenoBERT: A Language Model for Accurate Genotype Imputation
- SAFE: An LLM-as-Verifier Framework for Evidence-Grounded Multi-Hop Reasoning
- Incentives Shape How Humans Co-Create with Generative AI
- A First Guess Is Rarely the Final Answer: Learned Local Search That Generalizes to Larger Routing Problems
- UniDG: Unified Defect Generation via Defect-Context Editing
- EdgeCIM: A Hardware-Software Co-Design for CIM-Based Acceleration of Small Language Models
- AffordSim: A Scalable Data Generator and Benchmark for Affordance-Aware Robotic Manipulation
- Adaptive Query Routing: A Tier-Based Framework for Hybrid Retrieval Across Financial, Legal, and Medical Documents
- Low-Rank Adaptation for Critic Learning in Off-Policy Reinforcement Learning
- Interpretable Difficulty-Aware Knowledge Tracing in Tutor-Student Dialogues
- Validity-Calibrated Reasoning Distillation
- ASTOR: Multi-Task Code Reinforcement Learning via Utility-Driven Coordination
- DUET: Optimize Token-Budget Allocation for Reinforcement Learning with Verifiable Rewards
- Conditional Memory Enhanced Item Representation for Generative Recommendation
- CaC: Advancing Video Reward Models via Hierarchical Spatiotemporal Concentrating
- The Illusion of Power Capping in LLM Decode: A Phase-Aware Energy Characterisation Across Attention Architectures
- Revealing the Gap in Human and VLM Scene Description through Counterfactual Semantic Saliency
- MahaVar: OOD Detection via Class-wise Mahalanobis Distance Variance under Neural Collapse
- Always Learning, Always Mixing: Efficient and Simple Data Mixing All the Time
- CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?
- One Model, Two Roles: Emergent Specialization in a Shared Recurrent Transformer
- Focused Forcing: Content-Aware Per-Frame KV Selection for Efficient Autoregressive Video Diffusion
- Worse than Random: The Importance of a Baseline for Unsupervised Feature Selection -- Extended Version
- Beyond Questions: Evaluating the Stated Knowledge of LLMs
- Tackling Multimodal Learning Challenges with Mixture-of-Expert: A Survey
- FLORO: A Multimodal Geospatial Foundation Model for Ecological Remote Sensing Across Sensors and Scales
- AnyMo: Scaling Any-Modality Conditional Motion Generation with Masked Modeling
- GUITestScape: Towards Open-set Evaluation on Exploratory GUI Testing
- Can I Take Another Dose? DoseBench: Evaluating LLM Decision-Making in OTC Dosing QA
- Interpretability Is Not Just a Tax: Sparsity and Diversity Yield Legible and Composable Reward Experts for Personalization
- Executable Schema Contracts: From Automatic Ingestion to Multi-Source Retrieval
- Self-Augmenting Retrieval for Diffusion Language Models
- Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution
- Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces
- JANUS: Evaluating Goal-Conditioned Distortion in Factually Grounded LLM Communication
- Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning
- Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training
- Evaluating the Robustness of Proof Autoformalization in Lean 4
- EHRNote-ChatQA: A Benchmark for Evidence-Grounded Multi-Turn Clinical Question Answering over Longitudinal Discharge Summaries
- Improving Human-Robot Teamwork in Urban Search and Rescue Through Episodic Memory of Prior Collaboration
- TransitNet: A Compact Attention-Augmented Deep Learning Framework for Low-SNR Transit Blind Searches
- Reinforcement learning to improve large language model-based automated code compliance systems
- The Model as One Rater Among Several: Measuring Political Positions in Data-Sparse Regions with a Language-Model Panel
- Representation and Reference Selection in Training-Free Synthetic Image Attribution
- Calibrated Selective Prediction Using Deep Ensembles for ROI-Based Thyroid Nodule Ultrasound Classification Under Dataset Shift: A Retrospective Evaluation
- Real-World Evaluation of an AI Agent Drafting Translational Impact Summaries
- Riemannian Deep Learning: Modules, Networks, and Geometries
- GUEST: Preliminary Guidelines for Using and Evaluating GenAI Tools to Support Systematic Literature Reviews
- How Do Developers Edit AI-Generated Code, and How Well Do LLMs Infer Their Edits? Insights from 53.6K Developer Edits
- dots.tts.edit: Precisely Controlled Speech Editing with a Continuous Autoregressive Model
- Wiring Beats Blending: Structure-Aware Compensation for Transformer Downscaling
- Breadcrumbing Search Agents: Per-Turn Scheming Over Long-Horizon Trajectories
- KumbhDoot: A Scale-Ready, LLM-Bounded Architecture for Mass-Gathering Public-Service Assistants
- Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Traces
- Decodable but Not Actionable: Auditing the Representation-Behavior Gap in Frozen LLMs for Geometric Constraints
- Evidence-Gated Task and Motion Planning with Vision-Language Models
- Rebuild Dossier: Mechanically-Enforced Specs for Agentic App Rebuilds, and What Model-Tier Failures Reveal
- GlanceWAM: Sparse Test-Time Imagination for World-Action Models
- Towards AI-Assisted Clinical Trial Matching: Practical Considerations, Multicenter Evaluation, and Real-World Deployment
- OutageDiT: A Foundation Model for Power Outage Forecasting and Scenario Generation
- The Direction of Ignorance: LLMs Encode and Temper a Unigram Prior
- Grounded and Faithful P&ID Reasoning: Constraining Vision-Language Models with Recovered Evidence Graphs
- Mapping the Emerging Social Science of Large Language Models
- Online Surrogate Repair: Decoupling High-Fidelity Feedback from Search Length in Closed-Loop Discovery
- Learning Multimodal One-step Flow Policy via Value-weighted Optimal Transport
- Iterative Calibration and Learning: Mitigating Teacher Bias in LLM Distillation without Target-Domain Reward Feedback
- Adaptive hybrid coupling with operator inference, the overlapping Schwarz alternating method and reinforcement learning
- Whom Do AI Agents Serve? Role-Induced Sponsorship Bias in Decision Models and Generative LLMs
- Learning and Transferring Closed-Loop Robot Software
- Past, Future, All at Once: Mitigating Stability-Plasticity Dilemma via Post-hoc JANUS Rectification
- Blind Thermodynamic Ontology Discovery from Anonymous Experiments
- FeatLens: Feature-Guided Dependency Retrieval for Repository-Level Code Generation
- Controlled Decoding Attacks on Black-Box LLMs
- Evaluating and Benchmarking the System One Model Jev
- BITEM at the NTCIR-19 R2C2 Task: Predicting Confidence from Agentic RAG Pipeline Signals
- CRAFT: Causal Responsibility and Failure Tracing in Medical Vision Language Models
- Interpretable Synthetic Medical Tabular Data Generation for Clinical Decision Support Using Fuzzy Cognitive Maps
- Graph-Based Recognition of Simulated Train-Driver States From Facial and Upper-Body Keypoints
- A Geometric Approach to Soft Actor-Critic with Zonotopes for Locomotion Learning
- When Log Parsing Removes What Matters: Detecting Failures in Distributed GPU Workloads
- Refined Topology-Pass Scheduling: Damped Trust-Region Compensation for Dynamic k-NN Graphs in SE(3)-Equivariant Structure Prediction
- What Happens to the Goal? Distinct Failures of Policy Alignment in Goal Misgeneralization
- BiShield-TEE: On the (In-)Security of Unilateral Weight Obfuscation in On-Device TEE-Shielded LLM Partition
- Behavioral Couplings: From Formation to Behavioral Emergence in Language Models
- SituHOI: Scalable Capture of Scene-Situated Full-Body Human-Object Interaction
- PACE: Pareto-Adaptive Compression for Efficient Native MLLMs
- BR-MoE: Budgeted Semantic Release for Privacy-Preserving Traffic Analytics
- S$^2$-MAS: A Society-Scale Multi-Agent Simulation Framework with a 500-Million-Persona Resource
- Temporal Evidence-Parameter Co-Alignment for LLM Reasoning over Temporal Knowledge Graphs
- Mechanistic discovery in grain boundary structure and deformation driven by agentic AI
- A General Topological Symmetry Index for Critical Orbits In Neural Network Loss Landscapes
- Rethinking Time Series Tokenization from a Frequency Perspective
- Value-Rectified Distillation for Flow-based Offline Reinforcement Learning
- Protegrity-PII Technical Report
- OpenAttention: One Percent Is Enough with Tail Proxies
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- Tibo: Day 26/ You can now easily switch between multiple accounts on mobile, and coming soon to desktop too. Next two days will be resets… banked… do with this what you may 👀.
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- I just need to harden the sandboxes
- YOUR COMPUTER IS A BAD BUSINESS MODEL
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- Hochul bans DeepSeek AI statewide - WGRZ
- DeepSeek vs ChatGPT: $0.15 to $50 per 1M Tokens [2026] - shattered.io
- Chinese Hackers Use DeepSeek AI to Target More Than 200 Organizations - Security Boulevard
- DeepSeek Funding Round: $16B, 27% State Money [2026] - https://tech-insider.org/
- One AI rule book: chip expert urges shared standards across China, US models - South China Morning Post
- Bipartisan U.S. Lawmakers Push To Ban DeepSeek From Government Devices: 5 outlets compared - NewsCord
- How China's AI Labs Are Chasing Recursive Self-Improvement Without Touching Model Weights - Pandaily
- DeepSeek Unveils "Super-agent" Architecture: Autonomously Fixes Bugs Without Being @-Mentioned, More Than Doubles Multi-Task Efficiency - BigGo Finance
- Was Mao a dictator? How AI tools respond amid the Mbappé controversy in China - Escudo Digital
- Unsloth shrinks a 748 billion parameter coding model to fit a workstation - Startup Fortune
- DeepSeek and Moonshot reportedly used OpenAI for AI training - Digital Watch Observatory
- Cambricon Co-Founder Wants One AI Ethics Test for US, China - FourWeekMBA
- DeepSeek Adopted by Chinese Netizens as a "Big Fat Fish": AI Folk Personas Go Viral as Official Image Loses Narrative Control - BigGo Finance
- imec's Steven Latré: Self-Hosting AI Models Saves Only About 25%, and the Harness Can Halve Your GPU Bill - BigGo Finance
- Baidu Says Search Now Improves Itself From Live Feedback, Cuts API to 4.9 Yuan per 1,000 Calls - Pandaily
- Doubao Work Opens Kimi, GLM and DeepSeek Models to Team and Enterprise Customers - Pandaily
- Baidu Cuts Search API Price to 4.9 Yuan per Thousand Calls, Undercutting DeepSeek - BigGo Finance
- DeepSeek-cyber Leak: Modell-IDs, Cyber Key, keine Scores - OrcaRouter
- Why big Wall Street won’t let AI write its code: Inside finance’s cautious approach - thepost.co.za
- Elon Musk actually follows through on Grok AI adaptation of 'The Odyssey' - Mashable
- House Democrats Demand Trump Preserve Grok AI Chats After TIME Report - Time Magazine
- Court Denies xAI’s Motion to Dismiss Air Pollution Lawsuit Against Elon Musk’s company - Earthjustice
- Judge Denies xAI Bid to Toss Southaven Turbines Lawsuit - DeSoto County News
- The Election Lies Are Already Starting on X - The Atlantic
- Tesla Adds Grok Files to Intel Cars in Update 2026.38: Will It Be Enabled? - Not a Tesla App
- Grok Bot just crossed 600K DAILY active users. And here's the kicker. NO FREE TIER. That's more than 6X growth in less than two months, with daily usage climbing for 16 days straight. People are choosing a paid AI assistant that can handle emails, make call - X
- Grok Bot Review: I Tested the Free Trial for 4 Days - Techloy
- SpaceXSI prepares Texting and Tasks hub support for Grok Bot - TestingCatalog AI News
- Grok Bot 1.0 Is on Cursor’s Servers, 77 Days After Beta - FourWeekMBA
- SpaceX launches Grok AI partner network for enterprise expansion - MSSP Alert
- If Crypto Rallies 50% Into Year-End, Which Rises Most: Solana, Dogecoin or Zcash? Grok AI Ranks Them - 24/7 Wall St.
- Elon Musk's AI company is reportedly targeting 418 homes near its Mississippi data center, with buyout of - The Times of India
- Grok Bot vs Claude Duet: Which AI Agent Fits Your Business in 2026? - TechBullion
- Muse AI vs. Grok Bot: Which AI Agent Fits Physicians Best? - Passive Income MD
- Risk Factors Identified in ongoing study of Gemini and Grok - App Developer Magazine
- Grok AI Predicts Wild Bitcoin Price Amid $6.3Bn Binance Hack - Cryptonews
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- Government by Grok? - The Spectator
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