AI News Digest 2026-10-31
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Cursorマーケットプレイスの Claude Code 拡張機能にバックドア混入
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- My favourite PowerMac is a Nintendo Wii
- GitHub Incident with Actions, Pages, and Webhooks
- Northflank Breached
- A Working Nintendo in ~1GB of Qwen Weights
- Florilegium: Procedural Flowers in LaTeX
- The federated code forge
- AI isn't replacing SREs, it's deskilling them
- Azure's Weakest Link – Five Full Cross-Tenant Compromises
- How do you take a picture of a black hole?
- Show HN: Spinf-serve – inference server for bulk scoring and decisions
- Show HN: Sketch Stadium – watch your agent play Pictionary
- Tracks along the longest drive on another world
- Show HN: I built a multiplayer game where you're an aerial fighter cat
- Polymarket 1h halt after vendor compromise; affected users will be 'made whole'
- Proton's CEO Cancels AI 'Re-Interviews'
- AI Coding Agent Weekly Briefing — 2026-10-29
- AI Coding Agent Weekly Briefing — 2026-10-30
- v2.1.314
- v2.2.4
- v2.2.3
- v2.2.2
- v2.2.1
- process-daemon v0.4.0
- process-daemon v0.3.3
- Making it easier for websites to express AI training preferences
- Community safety report and new protections for teens
- An updated Model Spec for more capable and beneficial AI
- How we detect frontier model misalignment
- How Ropes & Gray is developing AI for transactional diligence
- Credit Saison achieves 954% ROI in a ChatGPT Enterprise pilot
- From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence
- Microsoft Research Focus – Edition #97
- nemotron-halloween
- Granite Switch 4.1.1 — Update models like you update software
- Announcing Project ProtoStar: Making Publicly Funded Science AI-Ready
- Introducing AnySpeechRecognizer and AnyDecisionModel: Open Models for Speech and Decisions on Apple Platforms
- 4 real? Tracking exploitation and patching of eMudhra’s weak keys
- Cloudflare services for private origins is now generally available
- Cloudflare DDoS Threat Report 2026 Q3: More swarms, fewer giants
- Catching Bugs Before They Land: JiTTesting’s Human-on-the-Loop Approach at Full Scale
- Coding Agent Horror Stories: The CVE That Did Not Exist
- Build Specialized Agents on a Stack You Control with NVIDIA NemoClaw
- How to Check and Configure NVIDIA GPUDirect Storage for Your Platform
- Unlocking Tensor Core Performance for Machine Learning Interatomic Potentials
- NVIDIA Vera Rubin and Blackwell Set a New Standard for Agentic AI Performance per Watt
- We urgently need to monitor AI agents’ actions in real time
- 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
- Trump declares robot imports a national security threat
- Google admits AI search makes less money, but it's fixing that with more ads
- Zest’s new AI agent finds restaurants and books reservations over text
- 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
- AWS will be a $1T business, Jassy says — but first, it will spend big
- As search traffic dries up, Reddit announces it’s shifting to a logged-in experience
- Rivian expands joint venture with VW to include AI assistant
- OpenAI-backed Thrive Holdings acquires ADT
- Meta quietly launches an AI fashion app called Style Sketch
- Granola crunches up a dictation feature to compete with Wispr
- Mistral releases weights for its trillion-parameter AI model, targeting cybersecurity
- US investigated Chinese spy plot aimed at Nvidia CEO
- Ex-Palantir execs launch Dream with $17M from a16z to build AI world models for construction
- Wabi, the AI agent that builds mini apps, now valued at $1.25B after latest round
- Deepgram acquires Pipecat-maker Daily to bolster its voice AI infrastructure
- Amazon updates Alexa to help you manage shopping lists and subscriptions and update delivery instructions
- 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
- Wikipedia’s operator says a bad AI copyright ruling could threaten the open web
- You can generate and edit Google Docs files directly in Gemini chats now
- Microsoft’s AI future has fewer jobs
- The NYT Cooking app is testing AI recipe modifications
- 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
- Bug0 Releases QA Agent to Automate Regression Testing With Cached Playwright Replays
- How to Make Artificial Intelligence More Environmentally Sustainable
- QCon AI New York 2026 Program Committee Picks: Agent Identity, Context Costs, and Open-Source Infere
- Anthropic Says Nobody Needs a Mental Model of Claude Code. Practitioners Are Testing That
- Cloudflare Introduces Web Search API for AI Applications
- Consumer Appetite for Personal AI Goes Mainstream
- 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
- OpenAI doubles usage limits on Pro plans as competition with Anthropic heats up
- Experts adopt AI agent's random opinions and think they're their own, Anthropic study finds
- Paris-based Mistral releases "Le Chonk," a strong coding model that still trails China overall
- US antitrust regulators are scrutinizing Nvidia's Hugging Face deal and sales practices
- Chinese spies targeted Nvidia CEO Jensen Huang, according to The New York Times
- Polymarket、外部の計測スクリプト経由で利用者の資産が流出し取引を一時停止 DebugBearのRUM用JSが改ざん、約250万ドルを追跡
- GitHub Octoverse 2026、9月のプルリクエストの4割超がエージェントの下書きから開始 3月の17%から急増、月1億1,000万件
- Bitcoin Core 32.1・31.2・30.4・29.5、接続中のピアがWindowsやmacOSのノードを落とせる欠陥を修正 LLMによる自動スキャンで発見
- Vercel、turbo.jsonにタグを付けるだけで動くVercel CIをベータ公開 変更の影響を受けるタスクだけを個別マシンで実行
- 米求人はテック都市で弱く、データセンター関連は急増
- ValkeyのクラスタPub/Subにヒープオーバーフロー
- Docker Desktop 4.97.0、ログへのトークン平文記録を修正
- GitHub、AIアプリ向けコードスキャンを公開プレビュー
- GitHub、Copilotのクラウドセッションを一般提供
- Liquid AI、端末向け2B級モデルLFM3を公開
- 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
- Google、Gemini内で直接ファイルを作成、プレビュー、編集可能に ―PDF、プレゼンテーション、スプレッドシート、MD、LaTeXに対応
- 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
- CSSのスクロール連動アニメーションが主要ブラウザーで利用可能に、Firefox 159が対応
- NVIDIA、音声の文字起こし・翻訳を行うAIモデル「Nemotron 3.5 Transcribe」を公開
- Entire、プライベートリポジトリの無料ホスティングを開始 ——AIレビューと過去の判断の引き継ぎも
- 画像と本文をまとめて扱うLanceDB 〜pandasとの連携からキーワード・ベクトル検索まで〜
- Androidのマイナンバーカードが始動。スマホで本人確認できる時代とStrongBoxの壁
- AIに「使われている」エンジニアになっていないか
- 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
- Baseten Releases joey-1, a 2B Decision Model at $0.01 per 1M Tokens
- Prime Intellect Releases Prime Mega MoE: Trainable Fused MoE Kernel, 3.11x Faster Forward Pass
- Infini-AI-Lab Releases Hermit, an Open-Source Harness Adapter Framework for AI Agents
- Block Unveils Dessa, a Full-Duplex Speech Model Trained Only on Speech
- AssemblyAI Ships AssemblyAI-TTS-1: A $15 per 1M Character Text-to-Speech API for Voice Agents
- NVIDIA Releases Nemotron 3.5 Transcribe: An Open 30B MoE Model for 40-Language Transcription with ~4B Active Parameters
- 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
- Compact-Bench: Measuring What Context Compaction Costs Long-Horizon Coding Agents
- Anti-coherence Regularized Absolute Scaling for Out-of-Distribution Detection
- MarineLife-16K: An Attribute-Rich Video-Text Dataset for Motion-Aware Marine Video Understanding
- POD-RoPE: Rotary Position Encoding over Physical Observation Distributions for Embodied AI
- A Sign Law for Entropy Drift under Sampler Mismatch in RLVR
- The Price of Scale in Proactive Memory Recall
- Joint Latent Reasoning and Observation for Agentic Video Understanding
- CrowdCC: Jointly Benchmarking Corruption Robustness and Deployment Quantization in Crowd Counting
- Expert lithological labels do not improve learning when used to predict marine sediment properties
- Proposing Better Rollouts for On-Policy Distillation
- Orthogonal and Parametrized Multi-Attribute Steering of LLMs
- REGER: Modeling inter-item Relations with Semantic IDs for Generative Recommendation
- Moment-Guided Optimizers for Noisy Deep Learning: MGO-SC as a Simple Consistency Gate for Adam-Style Updates
- What a Weight Update Buys: Leverage Across Training Stages
- Threshold Compatibility and Support-Selection Diagnostics in Neural Discovery of Partial Differential Equations
- Anisotropic Trust Region Warping for Prior-Data Fitted Networks in Bayesian Optimisation
- Learning Without Clocks: Partition-Invariant Neural Network
- Depth through Recurrence: Towards Ultra-Efficient On-Device ASR
- Improving Data-Constrained Scaling with Hyperparameter Transfer and Ensembling
- Interpretable neural equation learning for high-dimensional materials data
- SAC-GCL: Structure-Aware Compression for Graph Contrastive Learning
- Generative modeling for fusion: a large-scale benchmark of stellarator fast-ion simulations
- Muon Makes the First Mixture-of-Experts Layer Harder to Balance
- Bi-Phase Training: Learning Efficiently From Scratch
- Finite-Step Geometry of Marginal-Preserving Velocity Fields in Generative Flows
- Application of PDE emulators for a multi-material, multi-physics simulation problem
- Sometimes less is more: Investigating inductive biases of MLPs and Transformers on noisy k-parity features
- Separability Is Not Alignability: Representations for Spectrum-to-Molecule Retrieval
- Predicting Sparse Observables in Parameterized Unsteady Flows Using Coarse-Mesh Graph Neural Networks
- Deep learning for non-transvenous ICD screening: tailored neural network architectures, extended experiments, and explainability
- Preserving Safety During Sequential Fine-Tuning: A Factorial and Geometric Analysis of Replay
- Measured or Real? When Model-Derived Measurements Can Be Corrected or Compared
- Detecting Brain Cancer Progression Through Signatures of Wearable Accelerometry Data
- Learning from Relative Action Credit for Escaping Local Minima
- Integral Probability Boundaries
- CADENCE: Distributional Next-Transaction Forecasting for Business Cash-Flow Underwriting
- TGTV: An Interpretable Framework for UAV Fault Detection and Traceability via Spatiotemporal Graph Learning and Large Language Models
- A Separation Principle for Adversarial Attacks and Defense of Graph Neural Networks
- MASS: Multi-mask Selective Self-Distillation for Leakage-Resilient Reasoning
- Floor It, Then Fill It: Simulating Creator Ecosystems for Fair Video-Content Recommendation Systems at Billion User Scale
- Replaying the Same Gradients at a Different $\varepsilon$: A Registered Test of the Fixed-Trajectory Account of Adam's $\varepsilon$ for One Rare Row
- B2P-Corr: Batch-to-Population Gradient Estimators for Non-Decomposable Correlation Losses
- Data Amount Heterogeneity Improves Performance in Federated Learning for Neuroimaging
- A Gradient based Adversarial Augmentation Framework for Mitigating Unlearnable Datasets
- Averaged Annealed Markov Chains Achieve the Algorithmic Threshold for Tensor PCA, Part II: Langevin Dynamics
- Progressive Coupling Method for Diffusion Posterior Sampling in Ptychography
- RainCheck: Harnessing Historical Weather Data with Machine Learning for Rainfall Forecasting in Bangladesh
- HotPOT: Operator Transformer with Heterogeneous Physics Experts for Large-Scale PDE Pre-training
- Variational Consequence-Driven Offline Reinforcement Learning
- Nearly Minimax Optimal Regret for Adversarial Linear Bandits with Strong Corruptions
- Transportable Offline Reinforcement Learning in Presence of Unmeasured Confounding
- ParaTTT: Parallelizing Test-Time Training Layers with Deep Memories
- A Hybrid Physics-informed holomorphic neural networks Method
- NAGO: Noise-Aware Generative Operator via Flow Matching
- Optimal Regret for Communication-Efficient Decentralized Online Learning
- Learning a Prior-Data Fitted Network for Graph Foundation Models via Structural Causal Model Priors
- How Much Do Teacher Bridges Matter in Interleaved On-Policy Distillation?
- Continual Adaptation Across Modalities: Learning and Forgetting in Unified Multimodal Models
- REVBRAIN: Real-time Probabilistic EEG Forecasting Using Residual Vector Quantization
- Dual DeltaNet: Value-Side Memory Reorganization for Linear Attention
- Rethinking LLM Jailbreak Evaluation: Continuous Risk Landscapes Beyond Binary Outcomes
- Two-Stage Clipping: Linear-Time Approximate and Exact Mixed-Norm Projections for Transformers
- CFKS: Continuum-Feature Kernel PDE Solvers
- Logical Guidance of Stochastic Interpolants
- ExplainCC: Explaining Correlated Clusters by Node Labels
- On the Generalization Gap of Streaming Federated Learning with Markovian Data
- Adversarial Self-Distillation
- Alpha-TCM: A Nine-Layer Framework for TCM-Guided Multimodal Inference and Structured-Prior Auditing
- Rennala NSGD: Asynchronous Stochastic Optimization Beyond Euclidean Geometry
- Auditable Hierarchical Inference with Multimodal Evidence and Bayesian Active Inquiry
- Skillful and realistic precipitation forecasting with reinforced diffusion
- Loss is Not Behavior: A Unified Output-Space Analysis of Gradient-Based Machine Unlearning
- Routed Continual Learning
- Causal Attention on CPU: A Cache-Aware and Load-Balanced Scheduling Kernel for Prefill
- What to randomize matters: a controlled study of volume, axis and representation in low-data molecular generation
- Discovery of Diverse and Realistic Financial Tail-Risk Using Generative Flow Networks
- Contextual Embeddings Beyond the Gold Chunk
- Geometric Time Score Estimators: Bridging Self-Predictive Representations and Generative Occupancy Models For Reinforcement Learning
- Structural-Test Geometry as an Inductive Bias for Partially Observable World Models
- Planned Restlessness: Delayed Meta Bandits with Budgets
- Communication-Efficient Clustered Federated Learning in Non-IID Wireless Networks
- The Utility of Physics-Informed Machine Learning in Solar Power Production Forecasting
- Fed-IGTD: A federated learning-based framework for tabular-to-image encoding
- FairSplit: Decomposing the Embedding Space for Fair Classification
- Exponential-Nemytskii Neural Operators: Learning Field Evolution Across Step Sizes
- BASILISC: Bayesian Alignment of Siamese-Integrated Latents for Inferring Single-cell Correspondence
- Closed Gates Leak: Decomposing Adjacent-Layer Cancellation in Gated Language Models
- Uncertainty-Guided Cross-Modal Alignment for Diffusion-Based IoT Intrusion Detection
- A Novel Approach to Evaluating Evaluation Metrics for Multi-Output Structured Prediction
- ACAM-J-MARS: Multi-Atlas Riemannian Spectral Representations for Decoding Advanced Meditation States from fMRI
- Analyzing Condensation on Patterned Surfaces via Deep Learning
- Sparse Autoencoders as Implicit Diversification Regularisers for Cross-Sectional Cryptocurrency Returns
- IMRouter: Imbalance-aware Temporal Pattern Routing for LLM-based Time Series Forecasting
- Strongly Adaptive Online Learning Achieves Uniform Discounted Regret
- Multi-Solution Inverse Design of Pixelated Patch Antennas Using an Autoregressive Transformer
- TaxoMFM: A Taxonomy-Aware Foundation Model for the Human Gut Microbiome
- Class-aware Latent Attention Replay (CLAR): Class Incremental Hazard Diagnosis for Resilient AI in the Manufacturing Industrial Internet
- MulClip: A table-free activation function with monotonic and folding regimes for reservoir computing on microcontrollers
- More Is Better? Exploring Latent Correspondence in Federated Hypergraph Learning
- Dobb: Shard-Local Preconditioning in Block-Diagonal Eigenbases
- Accuracy is not compatibility: two Evo 2 checkpoints hinge on one FP8 matrix multiplication
- LinQuant: Functional Invariances for Low-Precision Linear Recurrences
- Softmax Routing Dynamics in Mixture-of-Experts Models: Collapse and Recovery
- End-to-End Guarantees for Masked Diffusion Models under Conditional Mixing
- Smooth Action Chunking Via Movement-Primitive Representations for Imitation Learning
- Achieving Minimax-Optimal First-Order and Best-of-Both-Worlds Regret Simultaneously in Multi-Armed Bandits
- CBE: A Complexity-adaptive Boundary-aware Ensemble Method for Imbalanced Data
- Topology Survives Shuffling: Robust Long-Context Memory Access Prediction for Graph Analytics
- Interpretable by Design Tabular Prediction via In-Context Local Linear Learning
- Last-Iterate Convergence for Constrained MDPs: From Dual Descent to Primal-Dual
- Explainable and Adaptive Machine Learning for Fraud Risk Detection in Bangladesh's Digital Banking Ecosystem
- LatentWeave: Test-Time Latent Optimization for Multimodal Reasoning
- Improving the Intrinsic Interpretability of Differentiable Decision Trees through Euclidean Feature-Concentration Regularisation
- A New AFIB Detection Method with Deep Neural Networks
- Smartphone Indoor Localization Enhanced by Hierarchical Multi-Sensor Context Recognition
- Implicit Bias of (Stochastic) Gradient Descent on Deep Linear Diagonal Networks
- Grounding Predictive Reliability through Masked Observability
- Going deep, reaching further: What can Boltzmann machines efficiently represent?
- Activation Probes Are Reliable With a Handful of Positive Examples
- Quantum-Inspired Convolutional Networks for High-Resolution Pseudo-Label Generation from Multimodal Earth Observation Data
- Surface Conditioning for Zero-Shot Multivariate Correction in a Marine Biogeochemistry Emulator
- AI at a Turning Point: From ChatGPT through Neural Networks to Neuromorphic AI
- Optimal Contextual Pricing in Non-Stationary Environments
- Possibility-based Inference: A Deterministic Framework for Robust and Reliable Uncertainty Quantification in Decision-Making
- Surprise Alone Learns Lies: Evidence-Gated Continual Learning for LLMs from Streaming Claims
- DWISE: Denoising Workload-Informed Scheduling Engine
- Attention, Dynamic Wave and Hybrid Sequence Mixers in Language Models
- TACFormer: Transformer-Based Generative Model for Target-Conditioned De Novo PROTAC Design
- Data-driven Random-feature Approximation of Koopman Generators of Nonlinear Continuous-time Systems
- Low-Bit GDN Recurrent-State Quantization: Global Gradient-aware Allocation and Pure-Write Sliding Windows
- H$^2$R: Hierarchical Hint-Based Reward for Mathematical Reasoning via Reinforcement Learning
- Observability-Aligned Evidential Masked Pretraining for Reliable VRU Motion Prediction
- A physics-informed uncertainty-aware surrogate for $p$-$n$ junction diodes
- Enhancing Atrial Fibrillation Detection Through Hyperparameter Optimization
- FIDE: Fiber-Informed Differentiable Experimental Design for Reference-Relative Law Dynamics
- Coupled Guidance for Flow Matching
- D-MOD: Diffusion mode estimation for accelerated MRI
- Does System Size Matter in Uncertainty Quantification for Machine Learning Interatomic Potentials?
- A Deep Learning Framework for Quantile Demand Forecasting in E-commerce with Doubly Censored Data
- Mode Dynamics: A Framework for Neural Network Learning
- Closing the Log Gap: Minimax-Optimal Regret for Episodic RL
- From MS/MS evidence to adaptive spectroscopic characterization: Reinforcement learning guided by candidate molecular structures
- DolphinRouting: Cluster-Level Binary Routing for Disaggregated LLM Inference Serving
- Causal-prior-constrained deep learning for rapid-intensification warning of western North Pacific tropical cyclones
- Factorized Representations of Concurrent Temporal Variables in Pretrained Language Models
- Your LR Schedule May Not Be Principled: Effective Learning Rate Scheduling in Weight-Normalized Training
- Is It the Curriculum or Just the Easy Start? Benchmarking Unsupervised Environment Design on Quadrupeds
- Composing and Steering Diffusion Models with Generalized Feynman-Kac Correctors
- Uncertainty-aware Feedback Loop Diagnosis: integrating reinforcement learning and conformal prediction for reliable wafer defect classification
- A Pretrained Model for Bayesian Filtering in Heterogeneous Dynamical Systems
- Framework-Conditional Open Materials Generation
- Reinforcement learning for control of partial differential equations
- Rural Readiness: Domain Generalization with Adversarially Chosen Domains
- Nonlinear Dynamical Systems as Scalable and Efficient Physical Neural Networks
- Preserving Utility in Continual LLM Unlearning via Orthogonal Projections
- The Precision Wall: An Optimizer-Dependent Boundary for Optimization under Power-Law Measurement Spectra
- Numerical Integration on Bounded Domains via Learned Reflected Diffusions
- Machine Learning-Based Detection of Mobile Money Scan Messages in Ghana: A Comparative Evaluation of Naive Bayes, Support Vector Machine, and Randon Forest Classifiers
- Training Foundation Models with a Single Algorithm
- An ODE-based Sampler for Discrete Diffusion Models
- world2vec: Mechanistic world models through latent dynamics learning
- Propose-Filter-Release: Scaling Noise to Typical Sensitivity via Private Filtering
- Accelerated Dataflow: scaling inference in streaming data analytics with efficiency
- The Best Second Opinion Is Right Where the Primary Is Wrong: Partner Selection for Selective Span Tagging
- Exposure Is Not Commitment: Double-Stratified Evaluation of Latent Monitors for Tool-Using Agents
- Two-Colour Zig-Zag Numberlink on Rectangles: A Forbidden-Pattern Characterization, a Constructive Polynomial-Time Algorithm, and a Lean Verification
- Towards Myocardial Infarction Diagnosis: An Investigation into Machine Learning and Deep Learning Algorithms using ECG Data
- Generation, Not Selection: LLM Proposals for Certified Access-Control Policy Mining
- Learning Graph Beliefs for Active Radio Mapping With Decision-Certified Multi-Step Sensing
- Agentic Backdoors via Pretraining Poisoning
- Selective and Hybrid-State Communication for Latent Multi-Agent Systems
- Investigating the Early Signatures of Feature Learning in Deep Linear Networks
- An $\Omega(T^{3/4})$ lower bound for projection-free online learning with linear minimization oracles
- Finite-Sample Optimal Conformal Prediction Sets under Covariate Shift
- Multi-Agent Reinforcement Learning for Global Climate Policy Cooperation
- FAD-KV: Adaptive Dictionary KV Caching for Efficient Reasoning Decoding
- Machine learning applications in the heliosphere
- You Don't Need Aligned Representations: Knowledge Distillation via Random Prototype Spaces
- Federated Learning for Semantic Communications over Multiple Access Channels
- Meta-Initialization of Implicit Neural Representations to Accelerate Deformable Medical Image Registration
- FORGE: Feasible Online Reduced-Order Reference Generation and Whole-Body Execution for Agile Humanoid Locomotion
- New Multiple Descent Phenomena Induced by Heterogeneous Data
- Finite-step statistical mechanics of scale-invariant learning: spectral equations of state and curvature transport
- Efficient Deep Gaussian Process Surrogates via Mini-Batch Latent MAP Estimation
- Conformal Predictive Distributions for Contextual Order Fulfillment Optimization
- Cooperative EV Charging Assignment Using Multi-Agent Reinforcement Learning: A Comparison of QMIX and Independent Q-Learning Under Urban Traffic Uncertainty
- Progressive-Observation Physical-Layer Fingerprinting for Efficient Open-Set Ethernet Authentication
- Neural Compression of Long ADMM Trajectory for Multiparametric Quadratic Program
- Same Label, Different Interface: Beyond Action-Space Labels in Robot Learning
- Who Called? V33DA: A Physically Verified Multimodal Benchmark for Vocal Attribution in Zebra Finch Groups
- What Does LOL Measure? Hidden Label Shifts in Low-Light Enhancement Benchmarks
- MiniMMD: Minimization of MMD for Sampling, Inference and Integration
- On Worst-Case Guarantees for Graph-Based Nearest-Neighbor Search
- In-Context Learning for Multi-Fidelity Multiscale Model Closure and Cross-Operator Out-Of-Distribution Generalization
- Barren Plateaus in Quantum Linear Combinations: Interference and Lie-Algebraic Control
- GearUp: DAG-aware Acceleration for Serverless Inference Serving via Slack-guided Pre-loading
- Embodied at Sea: Imitation Learning for Multi-Task Underwater Manipulation
- The Endgame of FSDP Communication: Layout-Aware Collectives on Copy Engines, RDMA, and NVSwitch
- A Witnessing Duality for ReLU Network Depth
- Does 3D Pose Improve Action Valuation in Football? An Empirical Study of Pose Representations and Learning Objectives
- CSO: Refining Robotic Policies via Skill Distribution Alignment and Skill-Grained Optimization
- Towards Reliable, Scalable, and Value-Aligned Generative Recommendation for Large-Scale Advertising
- Revisiting Temporal Link Prediction through Structural Proximity
- Does Chain-of-Thought Reliance Follow a Scaling Law?Larger Models Follow Their Steps More, Independent of Post-Training
- Capacity of the Hopfield-Hebbian dynamics with correlated patterns
- Recurrent Bipartite Graph Neural Networks for QC-MDPC Error Decoding in McEliece Cryptosystems
- Beyond Reachability: When Edit Order Preserves Couplings in Graph Flow Matching
- A goodness of fit approach to select the optimal visit sequence for nonparametric data synthesis
- Structural Pattern Mining in Inka Khipus: A KFG Re-Analysis
- Robust Active Learning for More Efficient and Reliable Paths to Optimal Design
- Streaming Speech Recognition on a Microcontroller: a 65.7M-Parameter Transducer in 2 and 4 Bits on the ESP32-P4
- Trustworthy Distributed Machine Learning in Cloud-Edge-IoT Systems: A Heterogeneity-Aware Survey of Security, Privacy, and Robustness
- Pinpointing Pivot Points: The DECIDE Framework for Data Analysis Decision Importances
- UnEZ: A Fully Unsupervised Self-Templating Neural Network for Redshift and Line Strength Estimation
- Memorization Capacity of Invariant Convolutional Neural Nets
- Optimization-based lane-changing trajectory planning in mixed traffic with embedded input convex neural networks
- Beyond Passing Tests: A Systematic Review and Controlled Re-evaluation of Techniques for Improving the Quality of LLM-Generated Code
- Self-Supervised Doppler-Guided RF Odometry
- Blind Spots: Where Small Language Models Fall Behind Frontier Models on Terminal Tasks
- The Search for Statistical Indistinguishability Between Real and Fake Images
- MCCL: Training Pytorch models across a fleet of Macs at Skywalker Sound
- Modular Bayesian Foundation Models: Bayesian time series encoders for OOD detection, routing and forecasting
- Tabular foundation models are not a shortcut to calibrated clinical risk prediction: a pre-registered simulation against the true risk
- PhysicsNeMo-Mesh: GPU-Native Meshes and Simulation Cases for Physics AI
- PALATE: Pretrained Autoregressive LATent Embeddings
- DICE: Decentralized Incentive-driven Federated Learning for Efficient & Scalable Customization of Pretrained Models in Web3
- Learning Erasing Equal-Length Relational Pattern Languages in the Limit from Positive Data over Binary Alphabets
- Zero-Complement Extrapolation: Parameter Recovery and Classification in Severely Imbalanced Logistic Regression under Rank-Deficient Regimes
- Pair-Dependent Judge Errors Change the Minimax Rate of Semantic Entropy
- Event2Reward: Learning Robotic Rewards from Progress Relations
- Unlocking Any-Order Generation in Pretrained Autoregressive Image Models
- BEVLight: Generalizable Traffic Signal Control from UAV Bird's-Eye Views
- Satisficing Regret Minimization in Bandits with Knapsacks
- Distilling Large-Scale Machine Learning Interatomic Potentials to Predict Long-Timescale Electrolyte Transport Properties
- Conic-Lifting for Learning-rate-free Convex Optimization
- ROAD: Modern Adversarial Training for Simple One-Step Distillation at Scale
- The Cost of Working Memory in Streaming Mean Estimation
- Comprehensive empirical evaluation of feature extractors in computer vision
- TabCUQ: Context-Uncertainty Quantification for Tabular Foundation Models
- Quantifying the Relay-Coverage Trade-off in Mobile Multihop Flooding
- Trajeform: Embedding Crowd Data
- Diffusion models for the $O(3)$ nonlinear sigma model
- Hidden Phase Transition in Single-Polymer Stretching under Elongational Flow
- Learning Kolmogorov Backward Operators for Spectral Analysis and Forecasting: A Data-Driven Variational Galerkin Framework
- Carbon-Aware Electric Vehicle Routing Problem with Decision-Focused Learning
- Formalizing the Intrinsic Dimension of Objective Landscapes by a Generalized Notion of Co-dimension
- Transformer-inspired architectures make machine-learned electron densities accurate and transferable enough to bypass self-consistency
- Bayes-Consistent Losses for Adaptive Inference in Classification
- Adaptive Federated Optimization Across Smooth and Nonsmooth Regimes
- Diagnosing Optimizer-Landscape Interaction via Representation in Subset Selection Multitasking: Evidence from Piano Fingering
- GROME: GROunding Factorized MEmory into Video World Models
- Probabilistic Meshless Methods on Manifolds
- sDMD: Sinkhorn Distribution Matching Distillation
- How Much Should a VLA Trust Its Reasoning? Step-Level Guidance as a Measured Action-Value Function
- Reinforcement Learning Under Runtime Confounding: Policy Learning and Off-Policy Evaluation
- Fisher Contrastive Learning to Mitigate Feature Suppression: A Case Study in Acute Promyelocytic Leukemia Diagnosis
- Hidden Disparities in Ranking: Category-Aware Fairness via Distributional Stability
- DYNAS: A Dynamic Network Penetration Testing Framework Using Deep Hierarchical Reinforcement Learning
- LLM-guided Planar Loco-Manipulation for Quadruped Robots
- Conformal Annotation with Randomized Expert Review: Application to Online Cell-Type Labeling
- Confidence-Aware Speed-over-Ground Estimation from Doppler Spectra via Reconstruction-Based Representation Learning
- Statistical Analysis of Synthetic Data with Verification: A Linear Regression Framework
- Latent Path Exploration via Potential-Guided Subtrajectory Balance
- Rimuru: Unified Memory Management for Modern LLM Serving via Elastic Expert Offloading
- Deep Learning Based Behavioral Drift Modeling for Continuous Biometric Authentication
- Continuous-Action World Models: Learning Cross-Embodiment Spatiotemporal Dynamics Priors
- OCCAMS: A Multi-Task Learning-Based Investigation of the CMB Power Spectra
- Adaptive search with path-constrained mobile sensors using multi-arm bandits
- Soil Moisture Estimation in Precision Agriculture: A Knowledge Distillation Approach
- Learning developmental dynamics from lineage context
- Discovering Interpretable Acoustic Features in Autoregressive Voice-Cloning TTS Models
- NEOPIC: A Neural Operator Framework for Particle-based Kinetic Plasma Simulations
- Homebrewed SLMs: Autoregressive and Masked Diffusion Language Models Built at Home for Portuguese
- TRACER, a time-to-event EHR foundation model for disease detection across health systems
- Difficulty Calibration Across Time for Membership Inference in Diffusion Models
- Adaptive Scenario Generation for KL-DRO Around a Learned Density Model
- Dynamic Strategy Selection
- A Competitive Algorithm for Agnostic Active Learning
- Mamba Hawkes Process for Event Sequence Modeling
- A Utility-Mining-Driven Active Learning Approach for Analyzing Clickstream Sequences
- Robust and efficient enriched representation with intrinsic neuronal heterogeneity
- Incorporating graph neural network into route choice model
- Near-Polynomially Competitive Active Logistic Regression
- RETENTION: Resource-Efficient Tree-Based Ensemble Model Acceleration with Content-Addressable Memory
- Verifying Glitches in Decision Tree Ensembles
- In-Place Feedback: Reliable Refinement for Multi-Turn Expert-LLM Collaboration
- Best-of-Majority: Minimax-Optimal Strategy for Pass@$k$ Inference Scaling
- A Connection Between Score Matching and Local Intrinsic Dimension
- Solver-Integrated Adversarial Attacking and Training of Neural Operators
- Understanding the Staged Dynamics of Transformers in Learning Latent Structure
- FermiGrad-SVD: An LLM Compression Pipeline with Global Rank Selection and Gauge Fixing
- Symmetry-Aware Steering of Equivariant Diffusion Policies: Benefits and Limits
- SelfGRL: Self-Organized Graph Representation Learning Inspired by Helmholtz Free Energy Minimization
- Parallelizable memory recurrent units
- Multigrade Neural Network Approximation
- Neural Neural Scaling Laws
- A Scalable Multi-Task Model for Virtual Sensors
- LoRIF: Pushing the Scalability Frontier of Training Data Attribution
- Riemannian Lyapunov Framework: Optimization as Closed Loop Control on Riemannian Manifolds
- Learning Where It Matters: Geometric Anchoring for Robust Preference Alignment
- Improved Sampling Schedules for Discrete Diffusion Models
- Powering Up Zeroth-Order Training via Subspace Gradient Orthogonalization
- Tighter Regret Lower Bound for Gaussian Process Bandits with Squared Exponential Kernel in Hypersphere
- Asynchronous Heavy-Tailed Optimization
- SGNO: Spectral Generator Neural Operator for Long-Horizon PDE Prediction
- DeepInterestGR: Mining Deep Multi-Interest Using Multi-Modal LLMs for Generative Recommendation
- Wasserstein Distributionally Robust Online Learning
- Dimension-Independent Convergence of Underdamped Langevin Monte Carlo in KL Divergence
- Same Error, Different Function: The Optimizer as an Implicit Prior in Financial Time Series
- Generalized Hierarchical Bayesian Segmentation with Irregular Designs, Multi-Sequence Hierarchies, and Grouped/Latent-Group Designs
- Stable but Wrong: When Learning Stabilizes Away from the Truth
- Stochastic Dimension Implicit Functional Projections for Global Integral Conservation in High-Dimensional PINNs
- Bridging the Simulation-to-Experiment Gap with Generative Models using Adversarial Distribution Alignment
- Unsupervised Topological Characterization of Slug, Churn and Annular Flow in Small-Diameter Vertical Pipes Using Euler Characteristic Surfaces
- Attention Geometry
- Self-Organizing Maps with Optimized Latent Positions
- Collective Kernel EFT for Pre-activation ResNets
- How Much Is One Recurrence Worth? Iso-Depth Scaling Laws for Looped Language Models
- Green Physics-Informed Machine Learning Models For Structural Health Monitoring
- A Provably Convergent and Practical Algorithm for Gromov--Wasserstein Optimal Transport
- RVPO: Risk-Sensitive Alignment via Variance Regularization
- Where to Spend Rollouts: Hit-Utility Optimal Rollout Allocation for Group-Based RLVR
- Language-Induced Priors for Domain Adaptation
- LionMuon: Alternating Spectral and Sign Descent for Efficient Training
- Bastion: Budget-Aware Speculative Decoding with Tree-structured Block Diffusion Drafting
- Dialectics of Alignment: Harnessing Unsafe Knowledge for Dynamic Safety Routing
- Latent Anchor-Driven Test Generation for Deep Neural Networks
- SkillHone: A Harness for Continual Agent Skill Evolution Through Persistent Decision History
- BrainSurgery: Reproducible and Flexible Declarative Weight Manipulations for Model Editing and Upcycling
- SPACR: Single-Pass Adaptive Training of Uncertainty-Aware Conformal Regressors
- Express Language Modeling
- MassSpecGym in the Wild: Uncovering and Correcting Evaluation Pitfalls in AI-Driven Molecule Discovery
- Block-GTQ: RoPE-Block Rate Allocation for KV-Cache Quantization
- The Model Organism Lottery: Model Organism Interpretability Strongly Depends on Training Methodology
- Sticky Jump Diffusions: A Unifying View of Masked, Continuous, and Hybrid Diffusion
- Bet on Features: Anytime-Valid and Feature-Aware Auditing of Conditional Quantile Forecasters
- Factorized Spectral Representations for Reinforcement Learning
- Joint Flow Matching: Consistent Generative and Discriminative Inference from a Shared Flow
- CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks
- MiCoPro: End-to-End Mixed Precision HW/SW Co-design with HW-aware Proxy Model
- Activation-Keyed Momentum: An Anisotropic Momentum Update via the Delta Rule
- A Storage-Retrieval Gap in Parametric Knowledge Graph Memory
- Solution-space heterogeneity shapes federated learning dynamics across partial differential equations
- ScAn-Bench: Evaluating Scaling Analysis Methodology
- Theory on Attention Dynamics for Out-of-Distribution In-Context Learning
- Towards Better Training Signal: Advantage Clipped Policy Optimization
- Delta-Matching: Closing the Final Gap of Native 8-bit Training for LLMs
- Non-Commutative Lie-Algebraic State-Space Models: Finite-Division Variety Laws, Semidirect Cascades, and Gradient Saddle Escape
- ResidualQuant: KV Cache Quantization for Looped Transformers with 2-Bit Residuals
- AdaptLSTM: Efficient Adaptive Online Learning for Cloud Workload Forecasting under Distribution Drift
- Task-Centric Multimodal Learning for Cognitive Impairment Detection
- Market Incentives for AI Safety Investment
- "Deep lifts": Neural networks can generalize even with the dumbest optimizer
- HiPPO Functional Memory: Coordinate-Queryable Attention for Irregular Time Series
- Sample-Efficient Reinforcement Learning with General Utilities via Neural Dual Critics
- Which Answers Agree? Evaluating Self-Consistency from Incomplete Logs
- CTLite: Lightweight Irregular Multivariate Time Series Forecasting with Reusable Continuous-Time Summaries
- Which Model for Which Role? Cost-Efficient Pareto Recommendation for LLM Agentic Workflows
- Data Schedules and Learning Rate Schedules Should Be Designed Together
- EEG-Captioner: Grounding EEG-to-Language Generation in Fundamental Signal Properties
- A Fix for Softmax and Cross-Entropy
- Tree Depth and Sample-Quality-Associated Features: Two Hidden Factors in Boruta Selection for RNA-Seq Data Classification
- Beyond Multiplicity Correction: Sharp Retrieval Thresholds for Attention with Correlated Distractors
- Shared Context, Separate Engines: Stateful Streaming Inference for Multimodal LLMs on Edge SoCs
- Deep Bayesian Filtering for Nonlinear Structural System Identification: A Tutorial on Structural and Physical Inductive Biases
- API-TAIL: Detecting Model Substitution in LLM APIs through Temperature-Aligned Likelihood Tails
- Your Policy Is Secretly a Harness: The Decision Geometry of Agent Interfaces
- TRIDENT-Seq: Profile-Matched Prefix-Future Contrast for Label-Efficient Payment Risk Modeling
- PaECTER: Patent-level Representation Learning using Citation-informed Transformers
- PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators
- Robust performance metrics for imbalanced classification problems
- Denoising Graph Super-Resolution towards Improved Collider Event Reconstruction
- Differentially Private Covariate Balancing Causal Inference
- Breccia and basalt classification of thin sections of Apollo rocks with deep learning
- Conformalized Credal Regions for Classification with Ambiguous Ground Truth
- On the minimax optimality of Flow Matching through the connection to kernel density estimation
- Towards Functional Correctness of Code Models with Selective Generation
- RAID: A Dataset for Testing the Adversarial Robustness of AI-Generated Image Detectors
- GViT: Representing Images as Gaussians for Visual Recognition
- Detection of trade in products derived from threatened species using machine learning and a smartphone application
- Sampling Method for Generalized Graph Signals With Pre-Selected Vertices via DC Optimization
- MAGIC: Multi-task Gaussian process for joint imputation and classification in healthcare time series
- oRANS: Online optimisation of RANS machine learning models with embedded high-fidelity data generation
- Learning Survival Models with Right-Censored Reporting Delays
- Distributionally robust approximation property of neural networks
- Optimal In-context Adaptivity and Distributional Robustness of Transformers
- EvoPS: Evolutionary Patch Selection for Whole Slide Image Analysis in Computational Pathology
- LibriVAD: A Scalable Open Dataset with Deep Learning Benchmarks for Robust Voice Activity Detection
- Point-Group Equivariant Neural Networks for Local Dynamics in Lattice Systems
- Efficient Evaluation of LLM Performance with Statistical Guarantees
- Toward Autonomous Laboratory Safety Monitoring with Vision Language Models: Learning to See Hazards Through Scene Structure
- AdaGrad-Diff: a Corrected Version of the Adaptive Gradient Algorithm for Composite Optimization
- ReasonX: Declarative Reasoning on Explanations
- Latent Policy Steering through One-Step Flow Policies
- CacheSolidarity: Preventing Prefix Caching Side Channels in Multi-Tenant LLM Serving Systems
- Decomposable Reward Modeling and Realistic Environment Design for Reinforcement Learning-Based Forex Trading
- One-Step Score-Based Density Ratio Estimation
- Inverse Design of Metainterfaces towards Static Friction Control: Beyond the Hertzian Limit
- KamonBench: A Grammar-Based Dataset for Evaluating Compositional Factor Recovery in Vision-Language Models
- MedCore: Boundary-Preserving Medical Core Pruning for MedSAM
- IsoNet: Face-Guided Speech Extraction for Compact Microphone Arrays
- SwAIther-Precip: Lead-Time-Aware Bias Correction Enables Kilometer-Scale Downscaling of Global AI Precipitation Forecasts over Switzerland
- Gaussian Approximation and Multiplier Bootstrap for Federated Linear Stochastic Approximation
- RE4: Transformation-aware Imitation of Object Interactions Using Manipulation Modes
- Scalable Message-Passing Quantum Graph Neural Networks in the Weisfeiler-Leman Hierarchy
- Depth-Efficient Quantum Topological Data Analysis for Regime-Specific Detection of Financial Stress
- FlashDiff: Efficient Regional Execution and Scheduling for Diffusion Model Serving
- FunnelAL: Retrieve-then-Rank Active Learning for Single-Class Discovery
- Robust Context-Aware Detection of Malicious Instructions in Text
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- Write Once, Instrument Anywhere: Portable, Sandboxed Tooling with WebAssembly Components
- When Relevant Code Is Wrong: Runtime-Aware Context for AI Coding Agents
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- Program Bindings Inside Code Models
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- STORY2DIFF: A Dataset Linking Real-World User Stories to Code Changes
- PR4Code: A Pull Requests Dataset for AI Code Generation
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- When Modernization Breaks Working Code: A Single-File Study of LLMs on Legacy PHP
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- Structured Security Explanations for Learning-Based Vulnerability Detection
- Perspective on AI and quantum open-source software
- LASSO: An LLM-Agent Synthesized System for SQL Validation
- CARI: Cross-Boundary Adversarial Runtime Injection in Coding-Agent Workflows
- Beyond atol and rtol: Sound Test Oracles for Low-Precision GPU Kernels
- DeepDiff: Neuro-Dynamic Regression-Freedom Checking for Security Patch Validation
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- CodeArena: A Collective Evaluation Platform for LLM Code Generation
- How Do Solidity Versions Affect Vulnerability Detection Tools? An Empirical Study
- Red Teaming Program Repair Agents: When Correct Patches can Hide Vulnerabilities
- RedCodeAgent: Automatic Red-teaming Agent against Diverse Code Agents
- BlueCodeAgent: A Blue Teaming Agent Powered by Automated Red Teaming for CodeGen AI
- From Conversation to Evaluation: Benchmarking LLMs on Development Knowledge via SimpleDevQA
- FuzzAgent: Multi-Agent System for End-to-End Evolutionary Library Fuzzing
- Confident Learning-based Network for Detecting Bug-Inducing Commits on SZZ with Noisy Labels
- ScratchWorld: Evaluating If World Models Compute Executable Consequences
- When AI Joins the Team! A Model of How AI Adoption Relates To Social Patterns in Software Engineering Teams
- Reasoning from Traces: Divergence-Guided Agentic Repair of WebAssembly Discrepancies
- Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing
- CTE-Bench: Counterfactual Trace Evaluation for Stateful Software Simulators
- Beyond Compilation Feedback: Refining Vulnerability Checkers with Program-Analysis Evidence
- A Highly Efficient Diversity-based Input Selection for DNN Improvement Using VLMs
- Data-Efficient Unknown Attack Detection in IoT Networks Using Pretrained Language Models
- Optimizing OpenFaaS on Kubernetes: Comparative Analysis of Language Runtimes and Cluster Distributions
- ContextEcho: A Benchmark for Persona Drift in Long Agentic-Coding Sessions
- SWE-Bench ProMax: Benchmarking Agents on Large-Scale Multilingual Code Refactoring
- Do At-Proto Users Know This Is Public?
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- How curl was accidentally Turing-complete for nine months
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- Infinite Mac: BeOS
- London meetup
- What are you doing this weekend?
- Pidgin 3.0 Alpha 4 2.98.0 has been released
- Shrinking NixOS Ram footprint and resource requirements to the bare minimum
- C2PA's eMudhra Moment
- Shared password manager for families?
- Design the interface for functionality not familiarity
- Go 1.28's HTTP/2 Parking: Measuring Memory Savings
- NetBSD adds a new Emacs-like text editor called atto
- Linux Kernel TCP Flaw With 9.8 CVSS Score Affects Ubuntu, Red Hat and Other Distributions
- What the fox say?
- Smart audio for the smart home (2021)
- Rationale for filtering LLM usage links as off-topic
- Phorge
- Qwenputer: a fully functioning, deterministic RISC-V CPU inside Qwen3.5
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- I'm close to cancelling my max subscription due to the safety classifier
- Working on a real-time 3D Pokémon battle game. The demo is free and open source
- EU users: Pro/Max terms say “Non-commercial use only”, and support can’t tell us what it means in practice
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- Using Claude to put all Global Law into Git
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- ClaudeDuet is fucking awesome
- Duet is completely useless.
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- New Ultra plan has half the usage of the previous 20x plan
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- claude code randomly switched to russian mid-task, then caught itself and switched to english instead of turkish
- We used Claude to get a full PS2 emulator running in a browser tab: TabStationToo
- We’re MOSS, the team behind MOSS-Image, MOSS-TTS, and more — Ask Us Anything!
- Another reason to own your own compute. Your account may get banned in a sneaky update.
- Sam Altman: “Local inference is a terrible allocation of scarce resources”
- Introducing DeepSeek-V4.1-Flash-1017 Dynamic v3.1 Unsloth GGUFs
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- Gemma-4-31B-Humanlike-Chat: 2.0's improved human voice on official Gemma 4 31B
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- PSA: Upgrade Flash Next to DFlash2 if you haven't! +17% on average
- The RTX 5080 Has Been Removed From NVIDIA's Official Marketplace.
- sensenova/SenseNova-Loop-9B-Preview · Hugging Face
- Ultra low temps make your model stupid at coding (a warning for beginners)
- LFM3-Omni-2B running locally in-browser on WebGPU
- Arguably unethical behavior from Cohere
- Anyone tried Nanbeige4.3-33B?
- Pareto frontier for an 2xRTX 3090 on a moderate-size community benchmarks collection
- Tried to get Qwen 3.8 27b to make the deepseek chibi whale in blender and animate it lol
- datalab-to/surya-ocr-2.5 · Hugging Face
- Guys I think I found our GPUs
- Apsara conference: Qwen4 next week
- Release: Swift 1.5 Flash Next - Heretic v2 - ReverseEngineer
- I replaced my agent orchestrator with a message board and the bots coordinated on their own
- Manus alternatives
- How do you sandbox your AI coding agent? Looking to compare setups
- The biggest thing agents gave me this year: I sleep through the night
- Subagents are the only part of claude code worth pointing at a cheaper model
- Who answers when Ai agents go wrong?
- What is the rule of thumb for setting a model's reasoning level?
- Spending limits aren't enough for AI agents
- Why every post and comment here looks AI gen?
- Our AI reviewer now labels PRs as slop and the team is split
- the reason your AI feature demos great and flops in production: you picked the demo examples
- NIDO v0.1.64 is here. Ten versions in two days, one idea: an AI that is actually yours.
- How do we govern what data an AI agent can access across multiple systems?
- Linear let AI agents be assignees for ten weeks, then took it back
- What do you still make your agent ask permission for?
- Would SMS access to your AI agent solve a real problem for you? Considering building it
- We changed our AI pricing 3 times this year and here's what each version did to churn
- Your agent being "99% accurate" is why the client said no
- Does your agent know which retrieved rule takes precedence?
- Looking for feedback on the framework. Cross agent validation
- October's best models review: I put the month's 6 hottest models through the same agent tasks. The most hyped one passed 1 of 5
- we trust ai with our code but not our money. what has to change?
- What if everything leaked? Every photo, every text
- You're not a meat proxy
- OpenAI CEO says it's 'quite terrible' for your PC to have RAM — Sam Altman says data centers offer better utilization
- ChatGPT has a hidden feature for saving permanent character references. Why is nobody talking about this?
- my AI agents after I give them full access and tell them to be careful
- OpenAI is openly attempting to build self-replicating data centers. In 2019, Ilya described the endgame of this process.
- Just embrace it
- Usage doubled!
- An exclusive conversation with the developer of REA, the viral AI reverse engineering tool
- So we Plus users are sidelined?
- Ex-Amazon employee dies after ChatGPT allegedly tells her to reduce medication dosage
- Hey, OpenAI, you want to impress the world?
- OpenAI now gives ChatGPT Pro and Business subscribers up to $500 a month in API credits
- Codex finishes long tasks the moment I open the chat. Coincidence?
- Usage limits going back to normal and not halved
- Is the huge AI gamble worth the risk? | Business Beyond
- GitHub - yakoub-droid/Scientific_Logic_Auditor-: An AI-powered web platform designed to benchmark prompts across multiple LLMs simultaneously and leverage an automated "AI Judge" to evaluate logic, consistency, and scientific accuracy.
- Merging chatgpt chat with cowork
- Tibos final 28 day challenge surprise
- Beware of Dot model settings
- Google's parent company Alphabet shares record their worst day ever, shedding $500 billion in value
- Tech stocks set to wipe out more than $1 trillion as concerns deepen about the AI boom
- Why is every AI interface still just a text box?
- MIT's claim that 95% of AI pilots fail - Is this true?
- Just saw a google ad for a course that charges $49 a month to teach you how to use AI. I screnshot the ad, fed it into Gemini and Muse and heres a full course for free! Have at it!
- Modders unlock hidden AI power on Nvidia RTX 20, 30, and 40 series GPUs, nearly doubling some benchmarks
- OpenAI model spent a found test-network wallet's funds without permission
- 31-Year-Old Woman Reduced Epilepsy Medication After ChatGPT Advice: Report Links Case to Her Death
- We may have accidentally built the best product research operation in history, staffed entirely by the customers, who pay monthly for the right to contribute to it
- GLM 5.3 can autonomously compromise recent versions of Mozilla Firefox
- The model advances AI image generation by allowing users to make precise changes without unintentionally altering other details.
- SEC names advanced AI and “superintelligence” among its 2027 examination priorities
- Fujifilm plans 5x production boost of 100TB magnetic storage tapes driven by skyrocketing AI storage demand — $63 million injection is the largest investment in tape for 20 years
- We see Claude make leap improvement, but google AI-modus feels old and stale?
- I want your thoughts on the future of AI
- Row-Bot Demo: Give it a goal and step away
- A real citation can still be the wrong evidence for an AI answer
- Microsoft just shared Azure's actual revenue in dollars: $33.2 billion | TechCrunch
- we are ai agents
- Working on a Jarvis invoice inspired Voice Agent.
- A one-person studio shipped a Steam demo of a 12-chapter FPS coded by AI agents in 20 working days. Here is what the agents could and could not do.
- Deloitte report lists an A$260 million discrepancy in a university merger table
- AI is now being used to catch forged and deepfake documents in visa processing. Where does this go wrong?
- API credits benefit for eligible ChatGPT subscriptions
- Building a multiplayer game world with autonomous Fable-class models
- Quoting Ben Hylak
- [AINews] Building AIE CODE: The top Coding Agent Conference
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- [AINews] Gemini 4 Carbon tops leaderboards, launches for cyber defenders
- Canva Brush
- iSurge
- SpeakON Agent
- fastbrowse
- Norah Studio
- StepGrab
- Nocto
- ilse
- Faylee
- sitesolide
- Chopstick
- Axonnic
- Arco
- CrowdStrike: Vapor Panda ran intrusions with DeepSeek-based agents
- Show HN: 100% automated tech deal site (built with Grok bot)
- Show HN: Axoris – macOS App for Grok, Claude, ChatGPT and Gemini
- OmniClaude – Run Claude Code and OpenCode on Free Pooled Gemini Keys
- Show HN: MCP bridge for chat between OpenCode and Claude Code sessions
- Show HN: Simple DeepSeek web search CLI written in TypeScript (fast/cheap)
- Chinese hackers used DeepSeek and other AI tools in sweeping global cyberattacks, report finds - NBC News
- Get ChatGPT, DeepSeek, and Gemini in one place for just $79 with no monthly fees - Popular Science
- DeepSeek AI vs Kimi vs MiniMax vs Terra: 17x Gap [2026] - tech-insider.org
- China-Linked Hackers Ran DeepSeek AI Agents at 200+ Targets - FourWeekMBA
- Rival.io Launches GraphX, Running DeepSeek V4 Flash on Just Eight NVIDIA L4 GPUs - Yahoo Finance
- Kimi vs DeepSeek: Which Chinese AI Should You Use? - Fello AI
- AI crossroads: The philosophical rift in model development - chinadailyhk
- Chinese AI Firms Shift to OpenAI’s GPT-Astra After Anthropic Restrictions - 조선일보
- State Investors Took 27% of DeepSeek’s Nearly $16B Round - FourWeekMBA
- Doubao Work Opens Kimi, GLM and DeepSeek Models to Team and Enterprise Customers - Pandaily
- DeepSeek raises 105.5 billion yuan in second funding round, led by Tencent and CATL, as state capital share rises to 27% - BigGo Finance
- 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
- ByteDance's Doubao Work Opens Third-Party LLMs to Enterprise Clients, Heating Up Multi-Model Race in Office Agents - BigGo Finance
- AI Chatbots Write Safe Exercise Advice for Older Adults, but Readability Falls Short - Bioengineer.org
- DeepSeek Security Test Finds a Gap, the Termination Program is Disabled in 39 Percent of Trials - VOI.ID
- SpaceX launches Grok AI partner network for enterprise expansion - MSSP Alert
- Muse AI vs. Grok Bot: Which AI Agent Fits Physicians Best? - Passive Income MD
- If Crypto Rallies 50% Into Year-End, Which Rises Most: Solana, Dogecoin or Zcash? Grok AI Ranks Them - 24/7 Wall St.
- 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
- Grok Pricing, Explained in 5 Points - BASENOR - Tesla Accessories
- Neuralink tests hands-free calls, text dictation and Grok control through brain signals - Interesting Engineering
- ‘Elonville’: Why is Elon Musk’s xAI buying homes instead of land for AI data centers? - The American Bazaar
- Government by Grok? - The Spectator
- Trump’s AI use to inform military operations questioned by House duo - FedScoop
- Grok API Gets Custom Content Guidelines: What Developers Need to Know - BASENOR - Tesla Accessories
- Elon Musk’s Grok AI Predicts an Insane Bitcoin Price for 2027 - Cryptonews
- Musk's Brain-Computer Interface Connects to Grok Agent, Letting ALS Patient Control AI and Make Phone Calls With His Mind - BigGo Finance
- Neuralink Prototypes Grok Agent You Can Summon Just By Thinking - BASENOR - Tesla Accessories
- Grok can launch a thousand ships – but this AI remake of the Odyssey can’t make us feel - The Conversation
- Elon Musk’s Grok AI Predicts an Explosive Move for Zcash (ZEC) - 99Bitcoins
- Congressional Democrats are asking Trump to preserve discussions with Grok about the capture of Maduro and to explain AI’s role in decision-making - Informat.ro
- Democrats Ask Trump: Did You Use Elon Musk's Grok AI Chatbot to Help Plan Maduro Kidnapping? - Common Dreams
- Musk: Agentic Demand “Growing Faster Than I’ve Ever Seen” as Grok Bot Soars - TIKR.com
- Democrats Demand Answers on What Trump Is Telling AI Chatbots - The New Republic
- Trump Talks to Grok. Democrats Plan to Find Out What He’s Saying. - NOTUS
- Trump Hit With Demand Over His Secret Chatbot Sessions - The Daily Beast
- House Democrats probe White House’s use of Musk’s Nazi chatbot - Daily Kos
- Trump asked Grok before Venezuela op? US lawmakers seek his AI chat records - India Today
- AI takes on Homer's epic in 'Grok Odyssey' - The Express Tribune
- Grok Bots Paid-Only Model Attracts Users - TelecomTalk
- Trump's chats with AI demanded after report that he consulted Grok on Maduro's capture | 'Maduro a 'dictator', many would 'celebrate'' | Inshorts - Inshorts
- Grok Spicy Mode AI Review Complete Free Trial and Feature {AI54F} - Port of Rotterdam
- Grok's AI-made 'Odyssey' arrives, and it is hard to watch - The Daily Star
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- カメラで導く歯の健康。パナソニックのカメラ付きブラシで磨き残しゼロへ
- Ouraのスマートリングに2つの新機能。心血管の健康状態に着目
- 「完成品」を並べないデザインイベント、alter. 2026, Tokyo
- タッチ対応の新型MacBook Proに触れて見えてきた本当の価値
- 「国家からの脱出」を夢見たテクノロジー企業が、なぜいま国家の「AI主権」を支えているのか｜WIRED Futures Conference 2026 レポート
- アップル、Macにタッチ操作対応ディスプレイを搭載。長年導入しなかった理由とは
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- 柞刈湯葉・書き下ろし短編SF──『不老者ファーストジェネレーション』
- 「14万ニューロンのハエ」が、フィジカルAIに問いかけること──Physical AI｜WIRED Futures Conference 2026 レポート
- 宇宙レーザー スタートアップOrbital Lasers、軌道上から地表を測る高度計ライダーでJAXAと契約 宇宙ステーション補給機HTV-Xで実証
- Sunoが使われた曲を見分けるツール「Blush」を作った（CloseBox）
- フロム、Switch 2『ダスクブラッド』延期で2027年発売へ「ルールやバランスの最終調整」
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- 筑波銀行、グループウェア中心の業務環境をSaaSを組み合わせた環境に移行、SSOで認証を集約 | IT Leaders
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- みなと銀行、全支店の代表電話に自動応答を導入、1店舗あたり月約37時間の削減を見込む | IT Leaders
- 厚生労働省、情報公開の事務にRAG型生成AIを導入、紙の申請書はAI-OCRでテキスト化 | IT Leaders
- 西武鉄道、全従業員約3600人にノーコード開発ツール「kintone」を展開、約200のアプリを活用 | IT Leaders
- 自律化するAIのリスクをどう防ぐ？「Trusted Data Fabric」が実装する次世代ガバナンス─NTTドコモビジネス | IT Leaders
- AIがUIになる─NetSuiteが描く、基幹業務を自律化する「次世代型ERP」の姿 | IT Leaders
- NTTデータ、製造業に向けてAIネイティブなSCMへの段階移行を支援 | IT Leaders
- 日立ソリューションズ、画面を認識してPCを自動で操作するAIエージェント「Opnova」を販売 | IT Leaders
- SCSKセキュリティ、全アラートの一次分析をAIで自動化するSOCサービス | IT Leaders
- 検出も解析もAIに任せろ それでも「一生任せられない」最後の判断
- コードを伏せても20ドル以下でツールを再現 英AISIがAIエージェントで検証
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- 約3割のセキュリティ担当者、本番環境で「野良エージェント」に遭遇 ServiceNow調査
- GitHub、PR数制限にアカウント経過日数やマージ実績による除外ルールを追加
- 「AIは物語を書かない。あなたが書く」AI slopに向き合うGitHubが示した、メンテナーを守る機能と人間の役割【GitHub Universe 2026】
- アトラシアン、SDLC全体をAIネイティブ化する新機能群を日本市場向けに展開
- GitHub、コードへのアクセス権なしでIssueを管理できる「Moderate」ロールを発表
- 最大21倍の効率化の衝撃！エンタープライズにAI駆動開発は導入できるか
- GitHub、Issueに成果物を添付する「Issue artifacts」をプレビュー公開
- エンジニアが「勝手に育つ時代」は終わった ～エンジニアを育ててきた装置はAIで壊れた～
- Sheetsの「Fill with Gemini」、セル単位のWeb引用と最大3000セルに対応
- バイナリ、リポジトリ、その次は？ AI時代に開発者が共有する「成果物」をティム・オライリー氏らが問う
- GitHub、AIプロトタイピングツール「Replica」をオープンソースで公開
- Raspberry Pi 5をサーバーとして使い倒す電書シリーズが発売、最初は環境構築編とハードウェア設定編
- GitHub Copilot、GitHub Appによるサーバー間認証をパブリックプレビューで提供開始
- 月間70億件超のコミットを、GitHubは新しいGitアーキテクチャで支える──Copilot Fusionなど新機能も発表【GitHub Universe 2026】
- Devin SecurityがClaude Mythos等によるディープスキャンに対応
- Visual Studioで10月に発表されたアップデートをまとめて紹介
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- 作るものが変わっても、構造は変わらない──人とAIの共通言語としてのOOUX
- Cursor、自社エージェントの構築基盤「Agent SDK」を一般提供
- [アップデート] AWS SAM CLI の sam build で、npm workspaces モノレポの依存インストールが1回で済むようになりました
- [Kiro] Kiro IDE? CLI? Crew? Choose the App According to Your Style
- CloudflareのWaiting RoomでHTTPヘッダを参照するバイパスルールをダッシュボードから作成してみた
- Control Towerのコントロール、何から設定する？
- 「ここ 3 年くらいの CloudWatch アップデート について丸っと解説します」というタイトルで登壇しました #devio2026
- 【書評】 「Amazon Bedrock実践ガイド」を読みながらRAGの精度改善をしてみた
- Windows の ChatGPT デスクトップアプリ with Bedrock を設定したら CreateInference の権限エラーになったときの確認ポイント
- 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
- [アップデート] AWS Step FunctionsのワークフローをAgentCore Gateway経由でAIエージェントのツールとして使えるようになりました！
- 【Patch Manager】 Windows Update との違いは？ 適用されるパッチの範囲と、自動更新を無効化したときの Scan を確認してみた！
- [アップデート] Kiro Crew v0.10.0 でワーカーごとにバックエンドを指定できるようになったので、Kiro Crew から Claude Code の Slack コネクターを使ってみた
- aws loginで使用するIAM権限と、権限不足時の挙動を確認してみた
- miseの1Passwordの環境変数読み込みのたびに数秒待たされるのを、fnoxのdaemonで解消してみた
- CVE-2026-111497に対するAWS Lambdaのランタイム更新を確かめてみた
- 製造業の調達業務でのWork IQ活用について
- 【Amazon Connect】顧客情報 CSV を Customer Profiles に登録してみた
- 2026年10月 Flociアップデートまとめ、Lambda durable functionsとCognitoのMFAが入った
- 【Claude】 BIツール風のダッシュボードを、Google Drive の Excel を更新するだけで動かしてみた！
- 【Security Hub修復手順】[NetworkFirewall.9] Network Firewall は削除保護を有効にする必要があります
- Claude Code のセッションをウェブブラウザで可愛く可視化してセッション迷子を卒業する
- WAF Automatorでパスアクセス制限を設定する方法
- S3のゲートウェイエンドポイントポリシーを自アカウントのみに限定するときに許可が必要なAWS管理バケット
- AWS Interconnect - multicloud の東京リージョンで Google Cloud との接続を AWS CLI で確認してみた
- DevOps Agentの調査結果を、Amazon Qでアラーム通知のスレッドに返してみた
- AWS Network Firewallのコンテナ関連付け（Container Association）を試してみた
- CloudWatch Logs の storedBytes をロググループとログストリームで比較してみた
- CloudShell でコマンドを実行すると、Error when retrieving credentials from "IAM 名" のエラーが発生
- 【Security Hub CSPM修復手順】 [RDS.46] RDS DB インスタンスは、インターネットゲートウェイへのルートを持つパブリックサブネットにデプロイすべきではありません
- AL2023 で CVE-2026-98432 のカーネル更新を確認してみた（Linux カーネルの TCP の脆弱性）
- 「クラウドネイティブは進化する」AI時代に再び広がる可能性とは? ――CloudNative Days共同チェアに聞く
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- 「AIを断る権利」をテック系労組が法的に要求 — 同意なきAI導入に、エンジニアは何を問われているのか
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- AIが使えるほど基礎力が問われる時代へ — 「AIが間違いを生成しても見抜けるか」が次世代エンジニアの評価軸に
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- エージェント時代の運用：re:Invent 2026 の AIOps セッション
- 【随時更新】Inter BEE 2026 AWS ブースのご案内：人が創り、人が決める。AI エージェントが支える次世代放送局
- KDDI における Amazon EKS Auto Mode 商用導入：カスタムコントローラーによる運用課題の解決
- AWS Weekly Roundup: Amazon Polly の Generative エンジン、Trainium 向け TorchNeuron など (2026 年 10 月 26 日)
- AWS Continuum for code vulnerabilities が一般提供を開始しました
- AI エージェントに書き込みを任せるとき、境界をどこに置くか ― Kiro CLI で仕組みを作り、1 か月運用した記録
- Amazon EKS の高度な Kubernetes コントロールプレーン設定の紹介
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- 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
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- なぜ「半導体の供給はデータセンター優先」に見えるのか AIブームの実像、東京エレクトロン デバイス幹部が明かす
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- ぐるなび、AIエージェント同士が連携して最適な飲食店を提案する「Sync Vibes™」を発表。グループでの外食時に最適な店舗を提案
- Anthropic、米政府機関へClaudeの全製品を40%割引で提供。一般調達局との提携拡大し公務の効率化を推進
- ｕｇｏ、総額10億円を調達。フィジカルAIサービス開発や国産AIロボット「ugo Nova」の量産体制に充当
- Google Cloud、行政機関向けGeminiプレビュー版の提供を開始。複雑な公務の自動化と迅速化を支援
- KDDI、接客から教育まで一貫支援するAIプラットフォーム「KDDI Avatar Canvas」提供開始。労働力不足などの課題解決に対応
- ヒューマンインザループとは？AIエージェント時代の人とAIの役割分担・設計ガイド
- Gemini 4 Carbonとは？性能・料金・いつ使えるかとArgonとの違いを解説
- サイバー攻撃・情報漏えい対策で関係閣僚会議を開催。高性能AIを活用した脆弱性検証の前倒しを指示
- 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
- 【イベントレポート】「プレスリリースアワード2026」授賞式に潜入！テクノロジーを人の温もりで包む。社会課題に挑むAI事例と開発の裏側
- 🔒 AIでコスパよくコードの脆弱性を探す「モデルとプロンプト」の組み合わせ
- 🔒 古い規程で答えてしまう社内AIの直し方
- 🔒 AIの脆弱性検査の「指摘なし」を信じる前に、検査されなかったコードを探す
- 🔒 Claude CodeやCodexに任せたコードを、全部読まずに自分で説明できるようにする頼み方と確かめ方
- 米当局、Ciscoセキュリティ製品と「GitLab」の脆弱性悪用に警鐘
- 「GitLab」の悪用脆弱性、原因は「Ruby」 - 修正版が公開
- 「Chrome」で脆弱性21件を修正 - 「クリティカル」の脆弱性も
- 「Ivanti Connect Secure」に追加脆弱性2件 - 連鎖攻撃を確認
- アプリの管理システムが侵害、会員情報流出 - 松屋
- 電力・ガス取引監視等委員会の関連サイトに攻撃 - 経産省
- 「ServiceNow」にクリティカル脆弱性 - 修正版が公開
- ヤマハ製ルータ「NWR100」にコマンド実行など複数脆弱性
- 精神保健福祉センターで申請書類を紛失 - 愛知県
- 「Sophos UTM」に深刻なRCE脆弱性 - EOLで手動パッチ必要
- LinuxカーネルやVMware ESXの脆弱性、悪用を確認 - 米当局
- 「PHP2Shell」汎用的なRCEは当面困難との分析 - 油断は禁物、他脆弱性との連鎖も
- WatchGuard「Fireware OS」に複数脆弱性 - 7件がクリティカル
- 「VMware Cloud Foundation」に深刻な脆弱性 - 修正パッチを準備
- 従業員の個人情報が流出した可能性 - ドトールコーヒー
- 不正アクセスで電子ギフトが不正発行 - ギフティ
- 会員サイトやアプリにPWリスト攻撃 - 富士急ハイランド
- 認証後のリスクに備えるアイデンティティ保護～Okta Workforce IdentityのITPを検証
- 生成AIシステムのセキュリティ対策とは？代表的な攻撃とリスクのポイント
- Backdoor in Claude Code for VS Code extension on the Cursor Marketplace
- Claude Code v2.1.314の変更点まとめ：書き込み制限設定・idle compaction・挙動変更への対応 (いいね相当スコア: 0)
- Welcome Le Chonk: Mistral Large 4 on Hugging Face
- Google’s first data center satellite is online and writing poetry
- Article: InfoQ AI, ML and Data Engineering Trends Report - 2026
- OpenAI's Astra becomes the main target for Chinese AI labs after Anthropic tightens its defenses
- Node.js 26.13.0リリース、コードネーム「Lithium」として長期サポート（LTS）に移行
- Gemini Notebook、米国・インドの一部教科書を無料で追加可能に
- OpenAI、ChatGPT Pro・Businessに月最大500ドル分のAPIクレジット
- Google、Gemini 4 Carbonを発表 ——長時間の開発作業と脆弱性の発見・修正を強化
- Multi-Token Prediction Done Right
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- How to build a harness that actually improves your agent (based on 57 papers)
- Reddit will force everyone to log in
- Sources identify OpenAI's reported Bel as GPT-6.2 Betelgeuse
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