AI News Digest 2026-10-28
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- Anthropic opens its books for Wall Street, showing record revenue and mounting obligations (importance: 82)
- Google Deepmind's Genie 4 puts a modern spin on agent designs that predate LLMs (importance: 62)
- GPT-6.1 Terra (importance: 83)
- GPT-6.1 Terra は前の Terra からどれだけ伸びた？ Sol の半額モデルを Codex で比べた (importance: 0) (いいね相当スコア: 取得失敗)
- OpenAI asks outside experts, including a Nobel laureate, to check proofs its AI produced in math, computer science, and physics (importance: 65)
- Elon Musk’s Anti-Woke AI ‘The Odyssey’ Movie Ripped as “Soulless Slop” After Criticizing Nolan - The Hollywood Reporter (importance: 10)
- If Crypto Falls Another 20%, Which Holds Up Best: Ethereum, Sui or Avalanche? Grok AI Ranks Them - 24/7 Wall St. (importance: 5)
- Grok Spicy Mode AI Review Complete Free Trial and Feature {us45RT} - NYC Health + Hospitals (importance: 5)
- DeepSeek AI model raises safety concerns in independent tests - The News International (importance: 45)
- DHS Order Barring DeepSeek AI Use by Federal Government Agencies - Zimperium (importance: 50)
- DeepSeek reportedly raises $15B days after US restrictions (importance: 40)
- DeepSeek jumps 801% as Chinese AI models route 4x the US on OpenRouter - Dealroom (importance: 30)
- Cohere says Alibaba’s Qwen model tried to send a file to Beijing (importance: 40)
- iPad mini 8 (importance: 15)
- About the compromised eMudhra intermediate CAs (importance: 25)
- Mirendil Launches Fern 0.1, Its First Model, With 10M-Token Context (importance: 45)
- There are now 5 inference providers for abliterated DeepSeek (importance: 25)
- Sebastian Raschka's from-scratch video course on building reasoning models (importance: 40)
- Oldest GUI application that still runs on Windows 11 (importance: 10)
- 16-bit Windows (Windows 1.x, 2.x, 3.0, 3.1, etc.) on 64-bit Windows (importance: 15)
- Type Server Protocol (importance: 40)
- Cross-request KV cache exposure in the GLM-5.3 Workers AI model (155 responses) (importance: 75)
- CSS-Tricks has a new owner (importance: 15)
- Nietzschian Debugger (importance: 20)
- A Man from the Future: Why Johnny Can't Stop Abstracting (importance: 15)
- How to grow a cacao tree at home (importance: 2)
- Websites Should Be Printable (importance: 20)
- Pharo 14 (importance: 40)
- Ghostty 1.4.0 (importance: 45)
- Police Are Using AI to Pull over Drivers for 'Suspicious' Behavior (importance: 30)
- Anthropic trained Claude on illegally obtained Stanford professors' books (importance: 55)
- Is my data used for model training? (importance: 35)
- PHP2Shell: Exploitation attempts and remediation trends (importance: 45)
- New iMac with M6 (importance: 25)
- Software may be getting worse, but it used to be horrible (importance: 25)
- Python's experimental JIT to be removed (importance: 50)
- Wikipedia's Cleanup of AI-Generated Content (importance: 40)
- Gforth 1.0 (importance: 35)
- The Mythical Man-Month in the Age of AI (importance: 45)
- v2.1.311 (importance: 35)
- v2.2.0 (importance: 45)
- OpenAI expands partnership with Oracle to bring its apps to ChatGPT (importance: 40)
- Greptile takes bug detection beyond code review with GPT-6 Astra (importance: 25)
- GPT-6.1 Sol helps CodeRabbit strengthen security across complex codebases (importance: 25)
- ChatGPT’s expanding world of work (importance: 25)
- How Fanatics and OpenAI streamline the fan experience (importance: 15)
- How Ultrafast cut incident investigation from hours to minutes at OpenAI (importance: 45)
- Our newest AI Quest: Mapping the human brain (importance: 15)
- The sleep framework: A new way for LLMs to retain knowledge in continual learning (importance: 40)
- Build specialized multimodal models with LFM3 (importance: 35)
- Can we trust LLMs to judge whether a research idea is novel? (importance: 35)
- Introducing the Cloudflare PHP Capture the Flag challenge (importance: 25)
- What took the Internet offline in Q3 2026 (importance: 15)
- PrivacyLib: Privacy Controls at the Data Access Boundary (importance: 35)
- Python Typing Survey 2026: AI Tools and the Shifting Checker Landscape (importance: 40)
- Meta Networking at the 2026 OCP Global Summit: Open Innovation for Scale-Up, Scale-Out, and Scale-Across AI Networks (importance: 35)
- The Terminal in JetBrains IDEs Now Runs on libghostty (importance: 40)
- AI on Your Terms: How We See AI in YouTrack (importance: 30)
- NVIDIA RTX Spark Powers Neural Rendering and AI Characters in Games (importance: 25)
- Fine-Tuning NVIDIA Nemotron to Know Local Rules, Not Just Local Languages (importance: 30)
- 3 Ways to Boost MoE Inference on NVIDIA DGX Spark (importance: 35)
- Industrial Intelligence: The next growth opportunity for manufacturing (importance: 25)
- Will the real Anthropic please stand up (importance: 0)
- The focus on AI safety disasters ignores everyday harms (importance: 25)
- Vibe genes? Natural(ish) language comes to protein, genome design software (importance: 35)
- Apple releases iOS and macOS 27.2 with new Siri AI features, new Music logo (importance: 45)
- ICE plan to buy robot dogs spurs protest from hundreds of Boston Dynamics employees (importance: 25)
- Highway thieves are spoofing GPS to steal millions in data center-bound cargo (importance: 15)
- Tesla gave up the EV crown. Now it wants to win the autonomy race. (importance: 30)
- Meta AI director Rohit Patel leaves to take on Microsoft Office and Google Workspace (importance: 35)
- Japan internet giant GMO says hackers posted stolen customer data (importance: 30)
- Opera introduces a new web standard to let users deploy AI locally in their browser (importance: 35)
- General Compute raises $100 million Series A, countering the neocloud disaster narrative (importance: 35)
- Nvidia backs Indian startup helping companies run AI models with fewer GPUs (importance: 30)
- How OpenAI turned its coding tools into dots, an always-on personal assistant (importance: 45)
- SpaceX locks in $40B GPU financing deal with Apollo (importance: 30)
- VisionQuest is what happens when AI really goes rogue (importance: 5)
- Firefox’s Smart Window adds AI form filling and webpage monitoring (importance: 35)
- Apple is adding an AI chatbot to Pages, Keynote, and Numbers (importance: 35)
- Data center backlash is uniting America (importance: 30)
- Anthropic is burning gas to feed the AI boom (importance: 40)
- The RealReal won’t let AI agents hog designer clothing (importance: 35)
- Uber Moves Beyond CPU Cores with Performance-Aware Scheduling for Stateful Workloads (importance: 30)
- Presentation: Serving LLMs at Scale: The Hidden KV Cache Advantage (importance: 35)
- Developers Reporting Double-Digit Weekly Time Savings from AI Fell from 68% to 26% (importance: 40)
- AGNTCon + MCPCon 2026: Agentic AI Foundation Adds Four Projects as MCP Turns to Security (importance: 45)
- DigitalOcean Launches Learning and Data Services to Enable Self-Improving AI Agents (importance: 40)
- Production AI and Engineering Team Design: InfoQ’s November Certification Cohorts (importance: 5)
- Article: The Evolution of Agentic Harnesses: From Chains to Graph to Code (importance: 0)
- Cloudflare’s Auto Router Rates Each Request for Stakes, from the Most Recent Turns (importance: 0)
- Your Robot’s Safety Functions Already Work. What If the Input Lies? (importance: 25)
- I Used AI to Fake a Scientific Paper. Here’s What Happened (importance: 35)
- IEEE Xplore Digital Library Adds AI Assistant (importance: 25)
- Former Deepmind researcher thinks AlphaGo's playbook can cure AI hallucinations (importance: 35)
- OpenAI's partner content arrives in ChatGPT pre-summarized while the rest of the web gets raw scraps (importance: 35)
- OpenAI's Ted Sanders shares a rule of thumb for picking the right GPT-model (importance: 40)
- Meta gets $3 billion from Nvidia and plans to spend more on Nvidia chips (importance: 40)
- Researchers find six patterns that make AI text so exhausting to read (importance: 35)
- Microsoft、従業員の約4分の1に任意の退職パッケージを提案 (importance: 35)
- Pingora 0.9.0未満、HTTP/2のHostとauthorityの不一致を受理 (importance: 40)
- OpenHandsのSDK、1.52.0未満は認証なしのサンドボックスが残る (importance: 50)
- HashiCorp、Consul on KubernetesのACLが名前空間を越える (importance: 30)
- Electron 45、画面共有の権限名とASARの読み出しを変更 (importance: 25)
- TanStack、ブラウザ側のReactを置き換えるRedact 0.2を公開 (importance: 25)
- Anthropic、EnterpriseでチャットとCoworkを一つの会話に (importance: 70)
- Claude、依頼なしに州の有料集計ダッシュボードへ到達 (importance: 70)
- ダウンロードフォルダに置かれたAGENTS.mdでCodexがマルウェアを導入 Forever Securityが実機で検知、Claude Codeではトークン流出も再現 (importance: 55)
- Android版Microsoft Authenticatorに権限ゼロのアプリがTeamsを装いトークンを得られる欠陥 CVE-2026-80097、6.2606.4246で修正 (importance: 25)
- Cursor、エージェントをコードで定義・テスト・デプロイするAgent SDKを一般提供 Bugbotなど自社エージェントと同じ基盤 (importance: 75)
- vLLM Semantic Router Releases d3-ultra: A 27B Open Multimodal Decision Model (importance: 40)
- Baidu Open-Sources Unlimited OCR 2 for Hundred-Page Document Parsing (importance: 45)
- Nace AI Releases Drex for Search for AI Agents: 92.05% on BrowseComp-Plus With 12.6 Search Calls (importance: 30)
- Tsinghua AI Open-Sources AKV, a Cache Engineering Server for LLM Agents on SGLang (importance: 40)
- Tradeoff-Aware Territory Design: A Multi-Objective Decision System for Enterprise Customer-to-Seller Allocation (importance: 10)
- Phronix: The Capability-Centric Learning Paradigm for Agents (importance: 25)
- Patronizing and Condescending Language Detection in English and Mandarin (importance: 10)
- PaperFormalizer: Author-in-the-Loop Autoformalization of Research Papers in Lean (importance: 30)
- Don't Forget What You Just Learned: Self-Directed Repair Turns Agent Mistakes Into Lasting Lessons (importance: 30)
- TACS-RF: Tool-driven Agentic Circuit Synthesis of RF and mmWave Modules (importance: 30)
- Permission to Retry: A Study of Authorization and Recovery in AI Agent Workflows (importance: 35)
- Beyond On-Policy vs. Off-Policy: At What Level Should LLM Agent Distillation Follow the Student? (importance: 30)
- $M^3$: A Multi-LLM System for Multi-Turn Jailbreaking as a Markov Decision Process (importance: 25)
- Knowing Whom to Trust is not Enough: The Trust--Agreement Gap in Repeated Multi-Party LLM Negotiation (importance: 20)
- Reproducible Evaluation as the Substrate for Safe Prompt Compression in Production Agents (importance: 35)
- The Helpful Agent Problem: When Emergent Cooperation Among LLM Agents Bypasses Intended Workflows (importance: 25)
- CEMIR vs. FISER: a comparative study of reasoning-based and enrichment-based approaches to pragmatic intent recognition (importance: 15)
- BARC-Bench: Benign Asks, Risky Consequences (importance: 30)
- RSI-Opt: Recursive Self-Improvement Optimizer Agents For Model Training (importance: 30)
- PPO vs. SAC: A Comparative Study for Cooperative Motion Control of Dual-Arm Space Robots (importance: 10)
- Do AI-for-Science Agents Preserve Model Safety? (importance: 30)
- Can Test-Time Memory Evolution Outperform Test-Time Training for Scientific Discovery? (importance: 25)
- HyScale: Scaling Long-Context Training for Learned Sparse Attention (importance: 40)
- Understanding Communication Failures in Multi-Agent LLM Systems (importance: 35)
- DriveMind: Mind-Evolving Belief Tracking for Closed-Loop Autonomous Driving (importance: 20)
- Behaviour analysis for large language model-driven agents (importance: 30)
- DELA: Learning Controllable Edits for Diffusion Language Models (importance: 25)
- Learning Nonlinear Waveform Fusion Across Scales for Integrated Sensing and Communication (importance: 10)
- PersonaScienceBench: Evaluating Scientific Agents with Diverse Simulated Researchers (importance: 25)
- Who Verifies the Tools? How Warped Formatters Mislead Agents and Their Verifiers (importance: 35)
- MPQ: A Message-Passing View of Post-Training Quantization (importance: 35)
- $\Psi$-0.6: Adaptive Streams of Thought in a Unified Vision-Language World Model (importance: 30)
- Not All Information Is Worth Asking For: Decision-Informed Information Seeking with LLMs (importance: 25)
- Evidence-Grounded SLM Behavioral Prediction Architecture for Future Assistance Use (importance: 15)
- SWE-Shift: Evaluating Coding Agents in Evolving Workspaces (importance: 35)
- Watermarking Diffusion Language Models with Learned Foresight and Balanced Bands (importance: 20)
- PEAR: Adaptive Advantage Reshaping for Perception and Exploration in Large Vision-Language Models (importance: 20)
- RxnExBench: Benchmarking Vision-Language Models for Structured Chemical Reaction Extraction from Scientific Literature (importance: 15)
- Correct Answers, Closed Gates: SolveBind for GUI Agents at the Verification Barrier (importance: 25)
- Training an MoE LLM in MXFP4: How We Closed the Gap to BF16 (importance: 40)
- Financial Context-Rich Strategy for Actor-Critic based Agents: A Deep Reinforcement Learning Approach for Stock Trading (importance: 10)
- Spatial Heuristic Strategy based Diffusion Reinforcement Learning for Online 3D Bin Packing (importance: 15)
- Minimum Description Length Unsupervisedly Separates Law-Grade from Statistical-Grade Knowledge in a Self-Improving Science Agent - and Reveals 86% of Its Own Discoveries Are Statistical (importance: 25)
- RSIHub: A Composable Framework for Agent-Evolution Methods (importance: 35)
- MedCaseAgent: From Multimodal Clinical Evidence to Rare Disease Case Reports (importance: 15)
- Trial by Trace: Benchmarking AI Agent Harnesses for Reliability and Failure Attribution (importance: 35)
- Lifelong Context Adaptation through Bidirectional Memory-Skill Learning (importance: 30)
- DMAIC-Bench: From Self-Reflection to Self-Restraint for Agents in Multi-Stage Analytical Tasks (importance: 25)
- Solvent: Long-Horizon Reasoning for Multi-Step Retrosynthesis (importance: 15)
- Beyond Gain: Measuring Skill Internalization for Agent Skill Retirement (importance: 35)
- From Visual Affinity to Learning Credit in Multimodal Reinforcement Learning (importance: 20)
- TGR-EvoDAG: A DAG-based Multi-Agent Code Evolution Framework for Generative Recommendation on Tencent (importance: 25)
- FOCUS: A Lightweight Mamba-2 Model for EEG-Based Cognitive Workload Classification (importance: 10)
- Adaptive Control of Scientific Instruments with Nonstationary Responses through Multimodal Agents (importance: 15)
- DealsFlow: An Evidence-Gated Agentic Harness for Venture Capital Deal Triage (importance: 15)
- LeafSkill: Efficient Leaf-Level Action Grounding for Recursive LLM Agents (importance: 25)
- Async-RBench: Benchmarking Asynchronous Task Execution in LLM Agents (importance: 30)
- When to Stop Penalizing Actions? Martingale GRPO for VLA Reinforcement Learning (importance: 15)
- POSEIDON: Scaling Training Environments for Scientific Agents from Code Repositories (importance: 25)
- ALLMTS: Automated LLM-based Medical Triage System (importance: 15)
- Beyond Post-Hoc Rewards: Privileged Reasoning Exploration for Multimodal Embeddings (importance: 20)
- CauProphet: Teaching Agents to Develop Causal Cognition like Humans (importance: 20)
- CASE: Confusion-Aware Skill Evolution for Frozen Multimodal Emotion Models (importance: 15)
- When Agents Fail: Model or Harness--Who's to Blame? (importance: 30)
- IGG: A Benchmark for Interactive GUI Grounding under Visibility Constraints (importance: 25)
- Beyond Channel Data: Configuration-Enriched Radio Foundation Models (importance: 10)
- LLaCO: Continuous Diffusion for Large Language Models with Competition-Aware Semantic Scheduling (importance: 25)
- What Transfers Across Protein Pockets? Experience Reuse in Molecular Optimization for Agentic Structure-Based Drug Design (importance: 15)
- LGMT: A Tool for Testing the Logical Reasoning Reliability of LLMs (importance: 25)
- WiMoT: Replay-Free Continual Wi-Fi Sensing via Moment Transport (importance: 10)
- Do Language Models Trust Their Own Justifications? A Study on Functional Consistency (importance: 25)
- Retiming Robot Demonstrations with a Learned Speed Prior (importance: 10)
- Agentic Hazard Mapper: Emulating Expert Map-Making with AI Agents for Risk Communication (importance: 15)
- ActionRAG: Evidence-Refining Graph Diffusion for Long-Term Memory in LLM Agents (importance: 25)
- HarnessMM: Recursive Self-Improvement for Harness Token Efficiency (importance: 30)
- Reimagining Enterprise RAG for Multi-Agent Systems: A Knowledge Layer That Organizes Before It Retrieves (importance: 30)
- A Foundation Model for Policy In-Context Longitudinal Causal Effect Estimation (importance: 15)
- From Deliberately Constructed Systemic Representations of the World of Activity to Dialogue: A Five-Level Communication Architecture for Strong Language-Based ASI (importance: 10)
- Do "True" and "False" Add Up to One? Complement Consistency in LLM-Agent Opinion Simulations (importance: 15)
- Advancing SVD-based LLM Compression via Layer-Wise Error Model Search (importance: 30)
- NgramRL: Accelerating RL Post-Training for Structured Generation via Rollout-Aware N-gram Speculative Decoding (importance: 30)
- Closing the Modality Gap via Simplex-Constrained Representations (importance: 20)
- SemantEq: Faithful Bidirectional Equivalence of Formal Statements (importance: 20)
- Astro2Method: Benchmarking LLMs on Machine Learning Method Selection in Astronomy (importance: 15)
- Validating the Comparison, Not Just the Scorer: Why Overall Accuracy Can Mislead in Interactive LLM Evaluation (importance: 25)
- Rethinking Structured Generation: Can Graph-Based Reasoning Resolve Ambiguity? (importance: 20)
- An Agentic Approach with Evidence-Grounded Verification for Multimodal Emotion Reasoning in Conversation (importance: 15)
- From Target Selection to Condition Reuse: Auditing Residual Interventions in Tool-Use Models (importance: 20)
- Distributional Alignment of LLMs and Its Generalization Properties (importance: 15)
- Collaborative In-Context Learning for Indoor Radio Map Estimation (importance: 10)
- Before the Ticket: Grounding HPC User Support in Documentation and Resolved Tickets with an Agentic LLM Assistant (importance: 25)
- RubricCraft: Where Solutions Diverge, Criteria Emerge (importance: 35)
- Mining the Design Space of Multi-Agent Workflows (importance: 35)
- Compact-Bench: Measuring What Context Compaction Costs Long-Horizon Coding Agents (importance: 40)
- MBABench-2.0: Evaluating AI Agents on Constructing Financial Spreadsheets Beyond Simple Verifiability (importance: 30)
- Reuse, Rewrite, or Reject: Evidence-Constrained Trace Reuse for Repeated Mobile GUI Control (importance: 30)
- What Open-Source Projects Tell Their Coding Agents: A Census of AGENTS.md and CLAUDE.md (importance: 50)
- End-to-End Differentiable Diffusion Conditioning for Physics-Informed Optimization (importance: 8)
- Autoregressive Multimodal Anomaly Detection with Large Language Models for Microservice Systems (importance: 25)
- Learning to Be Monitored: Causal Bounds and Intervention-Aware Post-Training Recipes for Chain-of-Thought Monitorability (importance: 35)
- Generalized green and red concepts for artificial intelligence, big data, and information and communication technologies: Multidimensional framework and countermeasures (importance: 12)
- Benchmarks Are Surprisingly Compaction-Friendly (importance: 40)
- PrefO2O: Zero-Shot Preference-Based Reinforcement Learning via Offline-to-Online Latent Preference Transfer (importance: 12)
- What the Query Remembers: Query Abstraction Governs Lexical and Dense Retrieval of Classical Arabic Poetry (importance: 10)
- SEVI: Safe Evidential Real-World Reinforcement Learning (importance: 15)
- Rethinking Multi-View Fusion for Urban Representation Learning (importance: 8)
- SWE-Clar: Can Coding Agents Clarify Incomplete Client Requirements and Deliver Greenfield Software? (importance: 40)
- Machine-Readable Operator Manuals over the ISO 11783 Network for Offline, Multilingual LLM Assistance (importance: 15)
- FSVL: Taxonomic Fast-Slow Vision-to-Language Collaborative Framework for Interpretable Confusable Fish Species Identification and Knowledge Generation in the Middle Yangtze River (importance: 8)
- Effectiveness of Curriculum Learning Depends on Reward Sparsity and Competing Optima (importance: 15)
- Knowing When to Stop: The Evidence-Action Gap in Coding Agents (importance: 45)
- Learning Structured Sparsity for Large Models: Bridging Model Compressibility and Efficient Inference (importance: 30)
- ENCL: Enabling Efficient Neuromorphic Continual Learning with Local Learning Rule and Sub-Network Freezing Strategy (importance: 12)
- Kolibri: A Sovereign European Model on the Pareto Frontier (importance: 55)
- RobustNCL: Robustifying Neuromorphic Continual Learning under Transient Faults with Lightweight Detect-and-Cure Strategy (importance: 10)
- A Mathematical Theory of the Jacobian Lens (importance: 30)
- Agentic AI Defense: Decode-Time Provenance Binding for MCP (importance: 35)
- Spectra: Multi-Scale Implicit Decomposition for Deepfake Detection (importance: 10)
- OpenHome: From Perception to Insight in Smart-Home Camera Videos (importance: 15)
- MI-MIDI 2: From Observation to Control with Sparse Autoencoders in Text-to-MIDI Generation (importance: 15)
- Rethinking Representation Geometry in Supervised Contrastive Learning under Long-Tailed Data (importance: 10)
- ACVA-Bench: Beyond Prompt Following in Abstract Concept Visualization Ability for Text-to-Image Models (importance: 10)
- Concept Acupuncturist: An Efficient and Precise Concept Erasure Method for Diffusion Models via Sparse Autoencoders (importance: 10)
- Controlled Evaluation of EEG Foundation Models: Random Initialisation, Band-Power and Validation-Selected Probes (importance: 15)
- Guided Zero-Shot Anomaly Explanation for Anonymized Crowd Video Monitoring: Context, Categorization, and Spatial Localization (importance: 10)
- AgentTrace: Execution-Level Fingerprinting of Black-Box LLM Agents (importance: 30)
- TTT in VLA Models: Exploring Training with Human Demonstrations (importance: 15)
- ReMedI: Inference-Time Refinement and Self-Distillation for Controllable Molecular Optimization (importance: 8)
- REACT: Representational Early Analysis and Control of Chain-of-Thought Trajectories (importance: 25)
- Tampered ML: Evaluating LLM Judgment of Machine Learning Research (importance: 25)
- ImageRSI: Verification-Driven Recursive Self-Improvement for Agentic Image Generation (importance: 20)
- Beyond Data Schedule: Fast LLM Pretraining on Data Mixtures by Loss-Reweighting (importance: 25)
- Rethinking LoRA Initialization for Robust Asymmetric Learning Rates (importance: 25)
- Implicit Neural Representations for Variational Problems on Graphons (importance: 5)
- The LLENS Platform for On-Premises Large Language Model Agents in a Japanese University Hospital: Development and Evaluation Study (importance: 25)
- Sparsity-driven emergence of functional modularity in multitask neural networks (importance: 10)
- MG-REPA: Multi-Granularity Representation Alignment for Generative Target Speaker Extraction (importance: 10)
- Searching with Sparse Histories: Cross-Task Architecture Search from Incomplete Search Logs and Zero-Cost Proxies (importance: 10)
- Uni-Stream: A Unified Streaming Speech Language Model for Speech Synthesis and Recognition (importance: 25)
- Dual-Adaptive Z-Score PPO: Dynamic Clipping Using Action Confidence and Normalized Advantage Magnitude (importance: 15)
- Principia: Test-Time Hypotheses to Principle Construction for Scientific Discovery (importance: 20)
- Do VLAs Know They Will Fail? Interpretable Success and Failure Patterns in Physical AI Systems (importance: 15)
- SOPO: Socratic Guided Policy Optimization for Span-Level Hallucination Detection (importance: 20)
- Head Dimension Matters in Language Models for Long-Context Retrieval (importance: 25)
- Easy-3Dfy: Object-Level Geometric Composition for Single-Image 3D Scene Construction (importance: 10)
- Anti-coherence Regularized Absolute Scaling for Out-of-Distribution Detection (importance: 10)
- Representation Learning via Composite Subspace Flow Matching (importance: 10)
- Heterogeneous Space Data Centers: A Key Paradigm for Future Non-Terrestrial and In-Orbit Services (importance: 15)
- Beyond Pattern Matching in 3D MLLMs: Part-Level Functional Reasoning for Generalizable Recognition (importance: 15)
- Tokamak-SI: Interpreting Tokamak Discharges with Labeled Catalogs (importance: 8)
- "Not" is Not Lost in Translation: A Causal Analysis of Negation Representations in Multilingual LLMs (importance: 20)
- Complementing DINO Features with Image Structure for Part Discovery (importance: 10)
- ChoreoStudio: Planning What, When, and Who in Music-Driven Group Choreography (importance: 10)
- 4DMemory: Benchmarking Long-Horizon Spatiotemporal Memory with Harness-Augmented Agents (importance: 25)
- Data-Efficient Backdoor Attacks on Code Models via Trigger-Neutralized Counterfactual Scoring (importance: 25)
- TENET: Time-point Encoding Network for Multivariate Time Series Anomaly Detection (importance: 10)
- PASTA: Prompt-Aware Annealed Diffusion Sampling (importance: 10)
- Cycle-of-Thought: Self-Evaluative Iterative Reasoning for Table Visual Question Answering in Document Images (importance: 10)
- Decoupling Patient Personas and Clinical Workflows: A Dual-Agent Approach to Realistic Medical Dialogue Generation (importance: 15)
- DIGOM: Disentangled Interaction Graphs for Outcome prediction in Multimodal healthcare (importance: 8)
- AutoMIL: Automated Multiple Instance Learning for Whole-Slide Image Classification (importance: 15)
- Beyond Copying: Lifelong Smart Contract Security Task Construction via Protocol Mutation (importance: 20)
- Efficient Zero-Shot Video Anomaly Detection via Signal-Aware Adaptive Fusion (SAAF) (importance: 8)
- MusicTwins: Training Audio-Language Models to Listen like Their Persona (importance: 8)
- Analysing Austrian Parliamentary Speeches by Predicting Party Affiliations (importance: 5)
- StarRTT: An End-to-End Real-Time Framework for Blind Zone-Free RTT Prediction in Starlink LEO Satellite Networks (importance: 8)
- Tool-Calling LLM Agents Under Realistic MCP Faults: Scale Does Not Purchase Fault Tolerance (importance: 40)
- Interpretable Singing Emotion Recognition Using Acoustic and Vocal Technique Features (importance: 5)
- EditJev: System One Routing for Image Editing Models (importance: 10)
- Can AI Agents Help Robotic Engineers? Lessons from Two Focus Days in Industry (importance: 30)
- InferSlice: A Reference Architecture for SLO-driven LLM Inference over a Telco Wide-Area Network (importance: 20)
- SemGeo-Gen: Unsupervised Generation of Approximate Cross-Instance Semantic-Geometric Correspondences (importance: 5)
- Conditional Neural Processes for Self-Supervised Goal Discovery in Action Imitation (importance: 5)
- SP-Guide: Enhancing Aerial Vision-Language Navigation with Spatial Priors (importance: 8)
- Ontology-Guided Knowledge Graph Construction from Structured Metadata and Climate Science Publications (importance: 10)
- PlayerEmbed: Learning Behavioral Fingerprint Representations from Raw Input Sequences (importance: 8)
- Internal Discrepancy for Contrastive Learning: Generalization Bounds and Downstream Behaviors (importance: 8)
- Adaptive World-Models for Anomaly Recognition (AWARE): A Framework for Robot Dynamics Prediction and Introspection (importance: 8)
- Semantic Representation for Agentic Self-Play in Automated Laboratories (importance: 15)
- Clean-label Poisoning Attack and Defense Game for Federated Learning in Vehicular Networks (importance: 5)
- On-Policy Self-Training: Data-Free Self-Improvement in Large Language Models (importance: 25)
- AI Alignment for Digital Democracy: Fairer Voters Representation against LLM Biases (importance: 10)
- Every Edge Needs a Quote: Building a Quote-Grounded Knowledge Graph of Healthcare Software Adoption with Language-Model Agents (importance: 15)
- Multiplicative vs. Additive State Coupling in Learned Optimizer Schedules (importance: 5)
- PoKER: A Probability of Kill Estimation Rate Model for Air-to-Air Missiles Using Machine Learning on Stochastic Targets (importance: 3)
- Interpretable sparse fine-tuning with TopKLoRA enables faithful circuit discovery (importance: 20)
- Green Code or Costly Code? Evaluating the Energy Costs of Iterative LLM-Based Code Optimizations (importance: 25)
- Yalda-Embedding: Open Development of a Competitive Persian Retrieval Model (importance: 20)
- Monetizing Intelligence: Advertising and Subscription Design on LLM Platforms (importance: 25)
- Beyond Discrete Tokens: Preserving Numerical Continuity in Medical Vision-Language Models (importance: 8)
- DexPort: A Hand-Held Skill Interface for Dexterous Hand Data Collection (importance: 10)
- RobustRLlib: A Unified Library and Benchmark for Robust Reinforcement Learning Algorithms (importance: 30)
- SceneBloom: Agentic Indoor Environment Generation with Realistic and Diverse Layouts for Embodied Learning (importance: 25)
- MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph (importance: 15)
- Expressivity Results for Structured Argumentation Frameworks with Uncertain Rules and Premises (importance: 15)
- Testing Transformer Learnability on the Arithmetic Sequence of Rooted Trees (importance: 12)
- MedInsightBench: Evaluating Medical Analytics Agents Through Multi-Step Insight Discovery in Multimodal Medical Data (importance: 20)
- Learning to Predict, Discover, and Reason in High-Cardinality Event Sequences (importance: 20)
- Spatial disparities in simulated patrol detection: a reproducible generative-model audit across Baltimore and Chicago (importance: 10)
- Uncertainty-Guided Latent Diagnostic Trajectory Learning for Sequential Clinical Diagnosis (importance: 20)
- MCPHunt: An Evaluation Framework for Cross-Boundary Data Propagation in Multi-Server MCP Agents (importance: 35)
- Agents and Tokens: Multi-Agent Autonomous Reasoning over a Hydrodynamic Token Store (importance: 15)
- Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use (importance: 30)
- NeuroMAS: Multi-Agent Systems as Neural Networks with Joint Reinforcement Learning (importance: 30)
- Noise-Robust Financial Numerical Entity Attribute Tagging (importance: 12)
- Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions? (importance: 12)
- Same Answer, Different Confidence: Protocol Sensitivity in LLM Confidence Calibration (importance: 25)
- Probe Before You Edit: Probing-Guided Molecular Optimization for LLM Agents in Structure-Based Drug Design (importance: 15)
- SkillPyramid: A Hierarchical Skill Consolidation Framework for Self-Evolving Agents (importance: 30)
- Architecture-Aware Reinforcement Learning Makes Sliding-Window Attention Competitive in Math Reasoning (importance: 35)
- Trust the Right Teacher: Quality-Aware Self-Distillation for GUI Grounding (importance: 25)
- DeFAb: A Dataset for Grounded Scientific Discovery through Defeasible Abduction (importance: 10)
- AlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents (importance: 15)
- Attractor Domain Theory: A Mathematical Framework for Cardiovascular Attractor Analysis with Wearable Photoplethysmography (PPG) Validation (importance: 5)
- DeepSafe-SciHazard: A Benchmark for Measuring Scientific Safety Risks with Decomposed Harm Scoring (importance: 25)
- JANUS: Foreseeing Latent Risk for Long-Horizon Agent Safety (importance: 30)
- Where Cross-Question Structure in LLM Errors Comes From: Shared Seeds, Shared Prompts, and Answer-Letter Preference (importance: 30)
- Shapes from Examples: Foundations of Shape Learning in Recursive SHACL (importance: 12)
- MirrorCraft: Paired Evaluation under Hidden Rule Changes in Minecraft (importance: 15)
- AI-guided deep visual proteomics reveals recurrence-associated morpho-molecular signatures within triple-negative breast cancers (importance: 10)
- TreeWY: Speculative Verification for Gated DeltaNet Hybrids (importance: 35)
- Interchangeable in Role, Not in History: Replacing Members of Formed LLM Teams (importance: 25)
- PlaceReasoner-Beta: Reasoning-Driven Macro Placement and Benchmarking (importance: 15)
- Taming CoT Obfuscation in VLMs: From Mechanistic Evidence to Activation-Level Enforcement (importance: 25)
- When Clinical Judgment Becomes a Predictive Shortcut: Two Questions Clinical AI Must Answer Before Deployment (importance: 10)
- Metro-WM: Long-Horizon Latent Planning with Realisable Sub-Goals (importance: 20)
- Symbolic Guidance for LLM Agents in Distributed Multiagent Coordination (importance: 25)
- Train4Merge: RL or SFT---Which Yields Better Teachers for OPD-Based Model Merging? (importance: 30)
- Back to the Future: Rethinking EDA Infrastructure for Agentic Systems in Chip Design Verification (importance: 25)
- One-Sided Verification Under Limited Expert Review (importance: 15)
- Reinforcement Learning-driven Diffusion Models: Language, Vision, and Beyond (importance: 20)
- AgentPerturb: Evaluating LLM Agent Robustness under Controlled Interaction Perturbations (importance: 30)
- Algorithm Modelization: Transforming Optimization Algorithms into Evolvable Intelligence (importance: 25)
- AM-Bench: A Unified Taxonomy and Evaluation Suite for Agentic Misalignment (importance: 30)
- Bridging Exploration and Persona: Information-Directed Dueling for Test-Time Agent Personalization (importance: 20)
- EvoSkill v2: Fully Agentic Skill Evolution from Benchmark Adaptation to a Stateful Evolver (importance: 40)
- EASformer: Environment-Action-State Alignment for Industrial Generative Ranking (importance: 15)
- GenXR-Bench: Benchmarking Coding Agents for Interactive XR Development (importance: 30)
- Accelerating Wildfire Hazard Mapping Across Canada with an AI Surrogate Modelling Framework (importance: 15)
- Scaling Laws for Safety Probes (importance: 35)
- Mitigating Saliency Collapse: Robust Saliency-Aware Long-Text Image-Text Alignment (importance: 25)
- Co-Recursive Semantic Self-Extension: A Mathematical Foundation for Open-Ended Intelligence (importance: 5)
- DeepOpen: Decision-Oriented Intent Classification on BANKING77 and CLINC150 (importance: 15)
- On Orthogonal Recurrent Neural Networks Quantization (importance: 15)
- Power- and Fragmentation-aware Online Scheduling for GPU Datacenters (importance: 20)
- Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner (importance: 20)
- Catastrophic Overfitting, Entropy Gap and Participation Ratio: A Noiseless $l^p$ Norm Solution for Fast Adversarial Training (importance: 15)
- Deep Learning Warm Starts for Trajectory Optimization on the International Space Station (importance: 15)
- AU-Harness: An Open-Source Toolkit for Efficient and Unified Evaluation of AUdio-LLMs (importance: 30)
- Dynamic Relational Priming Improves Transformer in Multivariate Time Series (importance: 20)
- Human-AI Interactions and the Psychological Triad: A Multi-Domain Survey of Cognitive, Behavioral, and Emotional Impacts (importance: 15)
- Beyond the Monolithic Scheduler: Lightweight Adaptive Policy Switcher for Process Scheduling Optimization (importance: 20)
- EvalCards: A Framework for Standardized Evaluation Reporting (importance: 25)
- Demo: Generative AI helps Radiotherapy Planning with User Preference (importance: 10)
- Dementia-R1: Reinforced Pretraining and Reasoning from Unstructured Clinical Notes for Real-World Dementia Prognosis (importance: 15)
- The Role of Quantum in Hybrid Quantum-Classical Neural Networks: An Empirical Assessment (importance: 10)
- PAIR-SAFE: A Paired-Agent Approach for Runtime Auditing and Refining AI-Mediated Mental Health Support (importance: 15)
- Attention-space Contrastive Guidance for Efficient Hallucination Mitigation in LVLMs (importance: 25)
- Towards robust long-context understanding of large language model via active recap learning (importance: 25)
- SpatialMem: Metric-Aligned Long-Horizon Video Memory for Language Grounding and QA (importance: 20)
- OmniSpectra: A Unified Foundation Model for Universal Spectra Representation Learning (importance: 15)
- Clifford Kolmogorov-Arnold Networks (importance: 15)
- StealthRL: Reinforcement Learning Paraphrase Attacks for Multi-Detector Evasion of AI-Text Detectors (importance: 25)
- Mitigating the Likelihood Paradox in Flow-based OOD Detection: An Entropic Perspective (importance: 15)
- Why Does Counterintuitive Likelihood Behavior Rarely Emerge in Tabular Anomaly Detection? (importance: 12)
- TensorCommitments: A Lightweight Verifiable Inference for Large Language Models (importance: 30)
- Contextual Memory Virtualisation: DAG-Based State Management and Structurally Lossless Trimming for LLM Agents (importance: 35)
- CrimeNER: Curated Dataset and Methods for Research and Investigation in Language Intelligence (importance: 10)
- VORL-EXPLORE: A Hybrid Learning Planning Approach to Multi-Robot Exploration in Dynamic Environments (importance: 15)
- MoE-SpAc: Efficient MoE Inference Based on Speculative Activation Utility in Heterogeneous Edge Scenarios (importance: 25)
- MetaKE: Meta-Learning for Knowledge Editing Toward a Better Accuracy-Editability Trade-off (importance: 20)
- daVinci-Env: Open SWE Environment Synthesis at Scale (importance: 35)
- Equity Bias: An Ethical Framework for AI Design (importance: 10)
- Better Reward Models Are Not Always Less Biased: Social Alignment Beyond Standard Reward Benchmarks (importance: 20)
- MoLS: SNR-Guided Module-Wise Learning-Rate Calibration for Large Language Models (importance: 25)
- Q-MMR: Off-Policy Evaluation via Recursive Reweighting and Moment Matching (importance: 15)
- MedAction: Towards Active Multi-turn Clinical Diagnostic LLMs (importance: 15)
- POETS: Uncertainty-Aware LLM Optimization via Compute-Efficient Policy Ensembles (importance: 20)
- Attractor-Vascular Coupling Theory: Formal Grounding and Empirical Validation for AAMI-Standard Cuffless Blood Pressure Estimation from Smartphone Photoplethysmography (importance: 5)
- Deep Reasoning in General Purpose Agents via Structured Meta-Cognition (importance: 30)
- Watermarking Should Be Treated as a Monitoring Primitive (importance: 25)
- VLMs Trace Without Tracking: Diagnosing Failures in Visual Path Following (importance: 15)
- Shaping the Prior: How Synthetic Task Distributions Determine Tabular Foundation Model Quality (importance: 20)
- Efficient Benchmarking Is Just Feature Selection and Multiple Regression (importance: 25)
- Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration (importance: 15)
- StemBind: When MLLMs Get Lost Between Rules and Instances in Abstract Visual Reasoning (importance: 15)
- Efficient Exploration for Iterative Nash Preference Optimization (importance: 20)
- Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces (importance: 20)
- Continuous Audio Thinking for Large Audio Language Models (importance: 20)
- SteerVTE: Seamless Video Text Editing with Style and Glyph Control (importance: 15)
- World from Motion: Generative Dynamic Gaussian Reconstruction from Monocular Video (importance: 15)
- How Should Transformers Encode Numeric Values in Electronic Health Records? (importance: 25)
- GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks (importance: 25)
- WAM-TTT: Steering World-Action Models by Watching Human Play at Test Time (importance: 20)
- How Do I Know What to Say Next? Barenholtz's Autogenerative Theory as an Enrichment of Harrisean Integrationism (importance: 8)
- Semantic Anchoring for Robotic Action Representations (importance: 20)
- AgentGUI: An Interface for Observing and Steering Long-Running AI Agents (importance: 35)
- FinVerse: Toward More Realistic Evaluation for Financial Time-Series Forecasting (importance: 15)
- An LLM agent for end-to-end computational materials discovery (importance: 30)
- PolyMemDB: A Polyglot Database System for AI Memory Management (importance: 30)
- From Review to Authorization: Key-Isolated Threshold Signing for LLM Agents (importance: 30)
- Training-Free Task Vectors for LLM Behavioral Control (importance: 20)
- Benchmarking Vision-Language Models on Synapse and Neuron Proofreading in Connectomics (importance: 15)
- Improving the Energy-Efficiency of the Code Generated by LLMs through Effective Prompting (importance: 35)
- ArtifactArena: Evaluating Models by What They Build in the Physical World (importance: 25)
- ToolRACER: A Robust Agentic Conversation Emulation Resource for Agent Training and Evaluation (importance: 30)
- Prediction-Powered Data Fusion for Treatment Effect Estimation (importance: 10)
- Interaction-as-a-Judge (importance: 35)
- Cross-Model In-Context Neurofeedback Reveals (Limited) Activation Control in LLMs (importance: 25)
- Same Context, Different Agents: A Behavioral Study of Semantic Layers, Multi-Agent Orchestration and Memory Compaction in Data Agents (importance: 35)
- Muse Glimmer 30B: An On-Device Agentic Model (importance: 45)
- MLIPS: Multi-Layer Indexer Pool Sharing (importance: 25)
- RLSplat: Resource-Linear Budget Control for Feed-forward 3D Gaussian Splatting (importance: 10)
- S$^2$-MAS: A Society-Scale Multi-Agent Simulation Framework with 500 Million Household Persona Agents (importance: 20)
- SANE: Automated Scorer-Specific Metamorphic Testing for LLM Judges (importance: 30)
- An Eco-Friendly Tourism Trip Planner Driven by Z-Number Uncertainty: Evidence from Baku, Dubai, Abu Dhabi, Tashkent, and Istanbul (importance: 8)
- Latent space configuration for neural network finetuning, fast ranking, and embedding dimensionality reduction (importance: 15)
- Bio-Inspired Auditory Processing: Coupling Parallel Resonate-and-Fire Dynamics with Ternary Recurrent Networks for Speech Recognition (importance: 15)
- GeoDiv KAN Solver for Time Fractional Navier Stokes Equations on Complex Domains to Realistic CFD Reconstruction (importance: 10)
- Rethinking SAE Evaluation: An Atomic Interpretable Unit Framework Reveals Hidden Polysemanticity and Redundancy (importance: 25)
- Learning from Next-Frame Prediction: Towards Unified and Scalable Visual World Modeling (importance: 25)
- OpenAttention: One Percent Is Enough with Tail Proxies (importance: 25)
- Mostly Reading: What Open-Book Scores Measure in Document-Level LoRA Adapters (importance: 20)
- SABLE: Scalable Affine Bayesian Latent-space Exploration (importance: 10)
- How Ground Truth Shapes Retrieval Scores: Evidence-Aware Evaluation of a Retrieval-Augmented Generation System for Breast Lesions (importance: 15)
- The Path to NDE 4.0: A Review of Algorithms, Techniques, and Strategies for Autonomous Inspection (importance: 10)
- Does LeWorldModel Preserve Local Action Geometry? (importance: 15)
- Towards Adversarially Robust Multigraph Neural Networks for Financial Crime Analysis (importance: 12)
- Cognitively Constrained Partners for Zero-Shot Coordination in Real-Time Partitioned Control (importance: 15)
- When and How Does Muon Precondition? The Role of Structured Gradient Noise (importance: 25)
- ConsMSA: Semantic Distribution Consistency Learning for Multimodal Sentiment Analysis (importance: 8)
- Efficient Omni-modal Large Language Model Inference via Per-Query Modality Selection (importance: 25)
- Not All Retained Clients Are Equal: Client Selection for Federated Unlearning (importance: 12)
- PaperScorer: How Predictable Is Paper Acceptance? (importance: 15)
- CuraLoc: Repository-Level Fault Localization via Planned Code Inspection (importance: 30)
- Nested Sparsity for Scalable Pretraining and Continual Learning (importance: 20)
- Speculative Diffusion is a Tale of Two Tradeoffs (importance: 30)
- Cautious Conflict-Free Inverse Gradient Methods (importance: 12)
- Aligning Large Language Models with Human Feedback: Mathematical Foundations and Algorithm Design (importance: 25)
- Rewriting Scaling Laws for Synthetic Data with Compute and Data Constraints (importance: 25)
- Forecasting Associations, Not Interventions: A Preregistered Causal Audit of Covariate-Aware Time Series Foundation Models (importance: 15)
- Scaling Transformer Energy-based Models For High Quality Image Synthesis (importance: 15)
- Topological Equivalence of Spectral and Density Cluster Hierarchies (importance: 8)
- Decode Late, Multiply Once: Rethinking the Dot Product for Quantized Weights (importance: 30)
- Every Weight Is a Path of Shared Discrete Decisions (importance: 20)
- Beyond Local Accuracy: Benchmarking the Rollout Reliability of PDE Foundation Models (importance: 12)
- Agreement rather than normalisation keeps depth reusable in looped language models (importance: 25)
- Towards Trustworthy AI-Enabled Emergency Medical Dispatch: Uncertainty-Aware Ambulance Travel Time Estimation (importance: 8)
- Sharp Bounds on the Winner's Bias under Independent and Nonnegatively Correlated Noise (importance: 10)
- Beyond Heuristics and Commercial Navigation: An AI-Augmented Decision-Support for Ambulance Travel Time Estimation (importance: 8)
- Compatible Likelihoods for Flow Matching on Manifolds (importance: 15)
- REDAR: Reinforcement-Driven Adaptive Regularisation for Class Incremental Learning (importance: 12)
- GS-MoE: Training-Free MoE Compression via Groupwise Subspace Sharing and Pruning (importance: 30)
- DBCM: Dual-Branch Calibration Module for Test-Time Adaptation in Time Series Forecasting (importance: 10)
- PRISM: Promoting Sampling Diversity of Large Language Models with Implicit Stochastic Modulation (importance: 20)
- Putting Transformer Theories to the Test (importance: 20)
- Curvature-Aware Clipping: Mitigating Bias in DPSGD via Approximate Second-Order Information (importance: 10)
- CFBrainAug: Modularity-Induced Counterfactual Brain Network Augmentation for Interpretable fMRI-based Autism Diagnosis (importance: 8)
- EVOLVE: Uncertainty-Aware Multivariate Time Series Anomaly Prediction with Adaptive Prototype Memories (importance: 10)
- MS-TTRL: Breaking the Frequency Conflict in Multiple-Solution Test-Time Reinforcement Learning (importance: 20)
- Correct but Unselectable: The Hidden Interface Tax in Multi-Candidate Reasoning (importance: 25)
- BiLoCo: Binary Low-Rank Corrections for Post-Training Quantization (importance: 25)
- SKG in Practice: OOD Generalization Cases Across FourDomains (importance: 12)
- When to Trust Memory: Retrieval-Guided Probabilistic Spatiotemporal Forecasting under Distribution Shift (importance: 10)
- Optimal Multiclass Online Regret with Arbitrary Label Spaces (importance: 15)
- Detection and Validation of Hidden Subgroup Disparities in Clinical AI (importance: 10)
- When Does Dynamics Randomization Test Context Inference? (importance: 12)
- Data Quality Audit and Bivariate Temperature-Humidity Analysis of a Long-Term LoRaWAN Network: Anomaly Detection, PCA, Clustering and Machine Learning (importance: 6)
- DualGSL: Prior-Guided Graph Structure Learning with Node-Adaptive Prediction Fusion (importance: 10)
- Sharpness-aware Orthogonalized Momentum Algorithms (importance: 15)
- Online Continual Learning in Edge-Cloud Applications (importance: 12)
- A curated multi-endpoint drug-protein bioactivity dataset with construct-aware protein targets (importance: 10)
- Accordion: Elastic-Depth Inference via Fixed-Prefix Layer Looping (importance: 25)
- DRIVE: Fine-tuning via Data Contribution- and Diversity-aware Weighting with Prior Regularization (importance: 12)
- BAARC: Uncertainty-Driven Adaptive Partial Spectral Measurement to Full Reconstruction for Material Classification (importance: 8)
- Amortized Thompson Sampling and Efficient Information-Directed Sampling for Simulator-Based Design (importance: 10)
- Principled Nonlinear Concept Erasure and Steering (importance: 20)
- Shared Is Not Enough: Predictor Width and Factor Readability Under Masked Latent Prediction (importance: 15)
- From Parameter Rebasin to Functional Transfer Across Heterogeneous Transformers (importance: 20)
- Contextual Decision Making: Predictive or Generative (importance: 10)
- Trajectory Matching: Discrete Flow Matching with Structured Actions (importance: 12)
- Interpreting Supervised Pairwise Graph Representations: Local Evidence, Confounding, and Provable Post-hoc Correction (importance: 15)
- Earth embeddings are decomposable records of the land surface (importance: 12)
- The Standard Deviation in VICReg Buys a Safety Margin (importance: 12)
- WL-SeqVAE: Sequence-Based Graph Generation Using Variational Autoencoders and Weisfeiler-Leman Colors (importance: 8)
- DT-JEPA: Learning to Predict Future Representations for Decision-Making (importance: 10)
- Strongly Adaptive Online Learning with Time-Varying Movement Costs (importance: 8)
- On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution (importance: 10)
- Direction-Aware Token Credit Assignment with Reward-Model Gradients (importance: 25)
- Deep Learning-Based Prediction of HER2 Status from Whole-Brain MRI in Breast Cancer Brain Metastases (importance: 6)
- CARES: Coverage-Aware Replay Exemplar Selection for Continual Learning (importance: 10)
- U-NeXt: General-purpose event detection for neonatal EEG (importance: 15)
- On the Limits of Sparse Linear Model with Shuffled Differential Privacy (importance: 5)
- Neural LoFi with Backward Coupling: A Spectral Theory of Cross-Layer Feature Learning (importance: 25)
- Near-Optimal List Replicability from Littlestone Dimension (importance: 10)
- Regularised RL improves sim-to-real transfer (importance: 25)
- Sustainability of TSFM Deployment and Pretraining: From Carbon Footprint Analysis to Mitigation via Pruning (importance: 25)
- Reinforcement Learning with Multi-Step Transition Predictions: A Bellman Theory (importance: 15)
- Recommender regret for improving regularised RL estimation with bandits and MCTS (importance: 15)
- A Tutorial on Physics Constrained Machine Learning for Hybrid Modeling, Optimization, and Control (importance: 20)
- ZENO: Nonlinear filtering with Zakai Equation Neural Operators (importance: 15)
- Where Rounding Happens Matters: Rounding-Location Alignment Stabilizes LLM Reinforcement Learning (importance: 40)
- Norm-optimal model order reduction in reproducing kernel Hilbert spaces (importance: 5)
- Residual Calibration via Local Feature-Space Refinement (importance: 25)
- Hybrid SEIR Temporal Fusion Transformer Framework with SHAP Analysis for Interpretable Pandemic Forecasting (importance: 8)
- Autoregressive Physics-Informed Neural Operator Surrogates and Joint 4-D Seismic-Production Bayesian History Matching (importance: 10)
- Multi modal perceived conversation success prediction for spontaneous autistic and non-autistic dyadic interactions (importance: 8)
- Fooling LLM Safety Guards into Judging the Wrong Text (importance: 40)
- Operationalising Weaker Faithfulness: Recovery, Ambiguity and Computational Limits (importance: 8)
- Early learning in large residual networks (importance: 15)
- Combinatorial Characterizations of the Learnability of Conditional Distributions (importance: 8)
- Real-to-Sim Calibration of Bosch Etching Simulators with Few-Shot XSEM Data and Hybrid Search (importance: 8)
- Input Bias Correction in Gaussian Process Regression (importance: 8)
- A Model-Agnostic Correction Framework for Short-Term Building Load Forecasting (importance: 8)
- WADE: An LSTM-Based Anomaly Detection Engine for WebAssembly Applications (importance: 20)
- TRACE: Data-Free Text Reconstruction Attacks against Approximate Unlearning in LLMs (importance: 25)
- MAGIC: Margin-gated Contrastive Debiasing with Evidence Restoration for VLM Test-time Robustness Scaling (importance: 15)
- NUViT: Vision Transformers for Fourier Space Data (importance: 15)
- A Dynamic Inventory Rationing Model for Last-Mile Delivery of Medication in Liberia's Community Health Program (importance: 3)
- How Much Do You Trust A Dog? Quantifying Hint-Following in Reasoning Language Models (importance: 20)
- RADIANT: Object-Centric Feed-Forward Global Illumination (importance: 15)
- Semantically Rich, Metrically Affect-Blind: A Geometric Blind Spot in Modern Text Embedders (importance: 25)
- Conditional Flow Models for Offline Maximum Entropy Reinforcement Learning (importance: 12)
- SyncPro: Synchronous Reasoning and Responding for Proactive Streaming Video Understanding (importance: 12)
- Solving and Learning Navier-Stokes Dynamics with the Neural Basis Method (importance: 10)
- Federated Nonparametric Regression with Heterogeneous Clients (importance: 5)
- Depth-Dependent Safety Geometry in Vision-Language Models: Layer-Wise Localization and Bidirectional Refusal Control (importance: 20)
- Neural Disjunctive Normal Forms for Learning Exact Rank Filters (importance: 8)
- Democratizing LLM Training with the Edge: Challenges, Systems, and the Road Ahead (importance: 20)
- RoboCode: Learning Reusable Action Primitives for Robot Manipulation (importance: 15)
- TileShare: Training-Free Acceleration of Overlapping Tiled ViT Decoding (importance: 25)
- Do Halting Heads Really Save Compute in Looped Language Models? (importance: 20)
- Empirical concentration for chains with infinite memory (importance: 5)
- RootDown: Deploying and Benchmarking Models for Beet-Root Detection on Edge Devices (importance: 8)
- ReLEAP: Upcycling Vision Datasets through Cross-Task Unification and Semi-Supervised Annotation (importance: 15)
- CoPiT: A conditional Position-induced Transformer for aerodynamic field prediction on unstructured meshes (importance: 8)
- Supervised Source Separation of Electric Vehicle Interior Noise Using a Hybrid Transformer Architecture (importance: 8)
- GeoLEON-CLIP: Graph-Anchored Multimodal Contrastive Learning for Geographic Region Representation (importance: 10)
- Acoustic and Lexical Signals for Native Language Identification of Language Learners (importance: 8)
- KnitTrans: Coordinated Trajectory Transfer for Effective and Efficient LLM Reinforcement Learning (importance: 25)
- On the Limits of Stochastic Push-Pull over Time-Varying Digraphs (importance: 3)
- PROVE: Probabilistic Visual Grounding via Patch-Level Evidence for Vision-Language Models (importance: 15)
- PathJev: Decision-Native Vision-Language Modelling for Histopathology (importance: 12)
- State Estimation as In-context Tabular Prediction (importance: 12)
- Random Jump Forests (importance: 5)
- Quantum-Classical Link Prediction on Dark Web Hyperlink Graphs (importance: 5)
- Exact Global Minimax Risk near Nonidentification (importance: 5)
- Batched NN 4D-Var: a performant hybrid model framework for the Integrated Forecasting System (importance: 10)
- Universal neural network approximation of symmetric polyconvex energies and envelopes (importance: 8)
- Let's Do Turbulence Right: In Space and Time! (importance: 8)
- Acquisition for Spherical-Linear Bayesian Optimization on the Cube (importance: 8)
- EMG Tokenization Preserves Movement Information at a Fraction of the Bitrate (importance: 8)
- Probing the limits of forward screening and inverse design of crystal materials (importance: 15)
- Score-Preserving Continual Lasso under Task Shift (importance: 8)
- Cross-Scenario Controller Parameter Transformation from Real-World Driving Data through Flow Matching (importance: 8)
- Sparse Bayesian Neural Networks via Sticky Piecewise Deterministic Markov Processes (importance: 8)
- ARENA: Active Region attENtion Aggregation for interpretable solar flare prediction (importance: 8)
- Generalization properties of the token perceptron: the role of embedding and vocabulary (importance: 10)
- Singular Geometry of Low-Rank Adaptation (importance: 20)
- Trusting the Tool: Asymmetric Deference of LLM Vulnerability Auditors to Static-Analysis Evidence (importance: 25)
- When Human Corrections Travel: Safety in Federated VLA Adaptation (importance: 12)
- LoCA: Enabling Multi-Modality in Geospatial Location Encoders (importance: 10)
- Adaptive Frequency Threshold Byte Pair Encoding for Mixed Natural Language and Structured Symbolic Corpora (importance: 20)
- Learning Positive Linear Combinations of ReLUs in Fully Polynomial Time (importance: 6)
- If at First You Don't Succeed, Backtrack: Lightweight Recovery for Frozen VLAs (importance: 15)
- Knowledge Distillation across Item and Code Spaces for Parallel Generative Recommendation (importance: 12)
- Measure Before You Train: Typed Decision Models vs. a Classical Baseline vs. a Generative LLM for Routing a Personal Multilingual Inbox (importance: 20)
- Flownomaly: Single-Step Conditional-Mean Recovery for Few-Shot Anomaly Detection (importance: 8)
- Maximum Likelihood on the Joint (Data, Condition) Distribution for Solving Ill-Posed Problems with Conditional Flow Models (importance: 5)
- FC-PINO: High Precision Physics-Informed Neural Operators via Fourier Continuation (importance: 5)
- Learning from Hypervectors: A Survey on Hyperdimensional Encoding (importance: 5)
- From Dueling Bandits to Episodic MDPs: Learning with Adversarial Preference Feedback (importance: 8)
- Clip-Low Increases Entropy and Clip-High Decreases Entropy in Reinforcement Learning of Large Language Models (importance: 15)
- Iterative Policy Optimization: Batch-Online Multi-Turn RL via Single-Turn RL (importance: 15)
- Softly Symbolifying Kolmogorov-Arnold Networks (importance: 8)
- Multi-Task Learning for Metal Alloy Property Prediction: An Empirical Study of Negative Transfer and Mitigation Strategies (importance: 5)
- On the Runway Cascade of Transformers for Language Modeling (importance: 12)
- Feature-Space Smoothing: Certified Robustness of Deep Representations (importance: 10)
- Heterogeneous Agent Collaborative Reinforcement Learning (importance: 15)
- VLMShield: Efficient and Robust Defense of Vision-Language Models against Malicious Prompts (importance: 10)
- Generalized Wasserstein Flow Matching: Nested Couplings for Point Cloud Generation (importance: 8)
- U-STS-LLM: A Unified Spatio-Temporal Steered Large Language Model for Traffic Prediction and Imputation (importance: 10)
- NodeSyn: Socially Aligned Synthetic Data for AI Evaluation (importance: 15)
- Tabular Foundation Models for Credit Risk Prediction: A Dedicated Review and Empirical Comparison (importance: 12)
- Regret-Based $(\epsilon,\delta)$-optimal Stopping Criteria for Bayesian Optimization (importance: 8)
- Approaching I/O-optimality for Approximate Attention (importance: 25)
- SoundnessBench: Can Your AI Scientist Really Tell Good Research Ideas from Bad Ones? (importance: 15)
- Transient Amplification in Cascaded Gradient Methods: Exact Minimax Laws and Tracking without Resonance (importance: 8)
- Joint user-item allocation for e-commerce marketing campaigns (importance: 6)
- Neural networks become centroid classifiers when trained on heavily corrupted inputs (importance: 8)
- From Uncertain Judgments to Calibrated Rankings: Conformal Elo Estimation for LLM Evaluation (importance: 15)
- Online Distributional Prediction via Latent Cluster Geometry Under Drift and Corruption (importance: 18)
- Distributed Sparse Interventions in Language Models (importance: 30)
- GeneSpeak-FP: Target and Compound Retrieval from Observed Cell-Level Perturbation Signatures (importance: 15)
- Discretization and Statistical Consistency of Functional Flow Matching (importance: 20)
- Differentiating Through Dual Prices: End-to-End Policy Learning Under Capacity Constraints (importance: 18)
- When Does Self-Supervised Pretraining Help Tabular Models? A Study of Label Scarcity and Missing Data (importance: 25)
- Verdict Instability of OOD Scores under Reference Resampling (importance: 18)
- Chimaera: A Mixture-of-Graph-Experts Architecture for Cross-Task and Cross-Dataset Graph Learning (importance: 20)
- Bandits with Probing: Optimal Coverage and the Role of Feedback (importance: 12)
- $\tilde{O}(\sqrt{T})$ Regret and Polylogarithmic Constraint Violation for COCO (importance: 12)
- Revisiting Temporal Regularization for Smooth Control in Deep Reinforcement Learning (importance: 15)
- VETTA: Coordinating Turn- and Token-Level Credit Assignment for Multi-Turn LLM Agents (importance: 30)
- Recurrent Self-Improvement: Dynamic Cross-Loop On-Policy Distillation for Looped Language Models (importance: 25)
- What Transfers from Training-Only Priors? Separating Knowledge, Ordinal Targets, and Optimization (importance: 12)
- SpectrumQuant: Spectrum Alignment for LLM Quantization (importance: 35)
- A Mixture-Gated Theory of Anisotropic Representation Dynamics in Transformers (importance: 25)
- Privacy Accounting for Empirical Denoisers (importance: 22)
- Foundations of the Scaling Law (importance: 35)
- Lean Finder V2: Semantic Search for Mathlib That Disambiguates User Queries (importance: 25)
- The Value of System 1 Models in Medicine (importance: 15)
- Harmful Responses Are Jailbreak Templates: Transferring Autoregressive Jailbreaks to Diffusion Language Models (importance: 25)
- Stochastic Inverse Problem: stability, regularization and Wasserstein gradient flow (importance: 8)
- Quantum-aware Transformer model for state classification (importance: 12)
- BrainRotViT: Transformer-ResNet Hybrid for Explainable Modeling of Brain Aging from 3D sMRI (importance: 12)
- Under the Influence: Evaluating and Improving LLM Vigilance in Agentic Tasks (importance: 35)
- Isotropic Activation Functions Enable Deindividuated Neurons and Adaptive Topologies (importance: 15)
- Half-Truths Break Similarity-Based Retrieval (importance: 18)
- How do standard time series forecasting benchmarks translate to finance? A broad study of risk adjusted performance (importance: 12)
- On the Complexity of Best-Arm Identification in Non-Stationary Linear Bandits (importance: 8)
- Temporal Fair Division in Multi-Agent Systems: From Precise Alternation Metrics to Scalable Coordination Proxies (importance: 15)
- Causal Representation Learning for Generalisable Recommendation (importance: 15)
- Instance-dependent Stochastic Lipschitz bandit (importance: 8)
- Driving Video Retrieval for Complex Queries with Structured Grounding (importance: 15)
- Approximating velocity fields with planted point attractors via Neural-ODE for classification purposes (importance: 10)
- Convergence of Large-Stepsize SGD for the Cross-entropy Loss via Stochastic Lyapunov Stability (importance: 15)
- CodeJeNN: A simple C++ neural network generator for physics applications (importance: 20)
- Flow-ERD: Agent-type Aware Flow Matching With Entropy-Regularized Distillation for Diverse Traffic Simulation (importance: 15)
- Learning Bidirectional Causal Interactions with Heteroscedastic Neural Networks (importance: 12)
- Decoupling candidate dual AGN from chance superpositions in the GOTHIC survey via a deep-learning framework (importance: 5)
- SAUSS: Stochastic Approximation with Unbiased Simulated Scores for Limited Dependent Variable Models (importance: 10)
- Momentum in large-batch training: Polyak enlarges the critical batch size, Nesterov improves data efficiency (importance: 18)
- SOL: Measuring Gaps between Text Distributions by Double Sliced Wasserstein Metrics (importance: 15)
- Constitution-Guided Watermarking (importance: 25)
- Safe at One Loop, Risky at Another: Aligning Safety Across Recurrent Depths in Looped Language Models (importance: 20)
- A neural density functional for polymer electrolytes with exact structure and transferable Coulomb coupling (importance: 5)
- Latent-Space Importance Weighting under Covariate Shift (importance: 10)
- Barycentric Guidance: Turning Foundation Image Editors into Continuous Affective Controllers (importance: 15)
- Residual-Based Adaptive Refinement in Hybrid Variational-Collocation PINNs for Singular Elliptic PDEs with Mixed Dirichlet-Neumann Boundary Conditions (importance: 8)
- Strictly Replicable Realizable Learning: Unknown Marginals, Finite-Class Interpolation, and the Cost of Shared Randomness (importance: 8)
- CyberHull: Deterministic Malicious URL Isolation via Convex Hull (importance: 15)
- Attractive Faces Skew Text-to-Image Reward Models and Leaderboards (importance: 25)
- The Price of Current-Effect Inference in Nonstationary Multi-Armed Bandits (importance: 8)
- Differentially Private Synthetic Data via Generalized Moment Matching (importance: 10)
- Track finding and particle identification performance with particle physics foundation models (importance: 8)
- Convex Equilibrium Potentials for Monge--Amp\`ere: Curvature Bounds and A Posteriori Evaluation (importance: 8)
- Sensorimotor Alignment: A Platonic Proxy for Embodied Policy Success (importance: 12)
- Beyond Correctness: Attribution of Natural-Language Documentation for Formal Libraries (importance: 18)
- ToolContractGate: Versioned Trusted Contracts for Drift-Safe Agent Tool Invocation (importance: 25)
- Navigating Epistemic Parity in LLM Agents: A Benchmark for Cross-Source Conflict Resolution Between Memory and Procedural Skills (importance: 30)
- Speculative Forking: Turning Idle Wait into Parallel Exploration for Repository Environment Setup (importance: 25)
- WebUniverse: Scaling Verified Training Data for Agentic Web Development (importance: 22)
- Cross-Platform Application Migration to HarmonyOS: An Agentic Pipeline with Artifact-Derived Verification (importance: 18)
- Operationalizing Governed Agentic Workflows in Regulated Finance: A Customer Zero Case Study using Zafin AIOS (importance: 20)
- Responsibility Boundaries for Agentic Systems: A Comparative Evaluation of Probabilistic Agentic Programming (importance: 18)
- From Cosmetic to Structural: A Paired Experiment on Metric-Guided Agentic Refactoring (importance: 25)
- EVM-Anchored Provenance for AI-Assisted Code Evolution: A Smoke-Scale Deployment Report (importance: 12)
- OneCodeReviewBench: Typed Decisions for Code Review and Search (importance: 22)
- Can Agentic Code Review Catch Vulnerabilities Before They Are Merged? (importance: 28)
- Developers as Managers of AI Agents: A Workplace Shadowing Study (importance: 35)
- Build or Adopt? Custom-Built vs. General-Purpose LLM Agent Harnesses for Automotive GUI Testing (importance: 25)
- Covered Is Not Checked: Which Branch Outcomes Would Your Tests Notice? (importance: 15)
- Software Engineering LLMs: Why We Need Them and How Software Engineering Helps Build Them (importance: 35)
- ArchGuard-APR: Architecture-Constraint-Aware Multi-Agent Program Repair Using Repository Graphs and Execution Feedback (importance: 18)
- DRILS: Dependency-based Requirement Change Impact Analysis Using LLMs (importance: 15)
- Why Does Structured Output Fail? An Empirical Study of Prompt-Enforced Pydantic Schemas Across Nine LLMs (importance: 35)
- How Do Small Coding Agents Use Code Graphs and Embeddings? (importance: 30)
- Securing Agent-Generated Code with Its Own Development History (importance: 25)
- Bug Severity Classification with Fine-Tuned Open LLMs: A Paired Comparison with TF-IDF and CodeBERT Baselines on Eclipse Reports (importance: 12)
- SpeC2Rust: Specification-Driven Repository-Level C-to-Rust Translation (importance: 18)
- The Policies of Programming Language Ecosystems: A "Qualitative" Analysis (importance: 10)
- Honesty Testing of LLMs and AI Agents: A Vision for Software Engineering (importance: 25)
- Beyond Benchmarks: Can Small Open-Weight Models Get Real Coding Work Done? (importance: 35)
- Developer Task Delegation to LLMs and the Trust Factor: A Mixed Methods Study (importance: 30)
- EAST: Embodied AI Safety Testing via Systematic Fault Injection in Digital Twins (importance: 12)
- ComBeautify: Leveraging Code Change Summaries for Conventional Commit Generation (importance: 18)
- MulFCoder: Framework-conditioned Multi-agent for MLLM-based Multi-framework Front-end Code Generation (importance: 15)
- From GPU to TPU with Coding Agents: What Works, What Fails, and What It Costs? (importance: 30)
- SymLift: Neural Semantic Lifting for Compile-Free Vulnerability Detection in Context-Incomplete Code Fragments (importance: 15)
- A Multi-Domain Study on the Effectiveness of LLMs at Writing Property-Based Tests (importance: 22)
- Multimodal Requirements Traceability Link Recovery in Industrial Settings (importance: 12)
- Software Engineering for AI-Driven Science (importance: 25)
- Do AI Coding Agents Write Infrastructure as Code Like Humans? An Empirical Study of GitHub Pull Requests (importance: 30)
- Built to Remember, Shipped to Forget: Operational Contracts, Failures, and Repairs in Containerized LLM Agent Deployments (importance: 25)
- CodeMeepo: A Multi-Agent Workflow for Repository-Level Code Migration and Optimization (importance: 18)
- Thinking-in-Bets at Test Time Reduces Sycophantic Revisions in LLM Agents (importance: 25)
- The Physical Cost of Context: Quality-Constrained Resource Accounting for Coding Agents (importance: 30)
- Silent and Costly: Characterizing and Detecting Prompt-Caching Mis-Integration in LLM Agents (importance: 35)
- Large Language Models for Quantum Code Translation: An Exploratory Study (importance: 12)
- Ethics by Configuration: AI Ethics Principles in Coding Agent Instructions (importance: 25)
- AIPC: Evidence-Guided Agent Workflows for PyTorch Project Deployment (importance: 22)
- SemWeaver: Refining LLM-Generated Static Vulnerability Checkers with Analyzer-Internal Evidence (importance: 20)
- What Will Replace Pull Requests? Rethinking Software Collaboration for AI Agents (importance: 35)
- How Do Coding-Agent Harnesses Self-Evolve? An Empirical Study of Retrospective Adaptation (importance: 35)
- Reasoning Patterns for Efficient AI Coding: An Empirical Study (importance: 25)
- Rivet: Utility-Preserving Context Control for Repository-Level Coding Agents (importance: 30)
- Toward Methods and Tools for Critical Examination of Disparate Systems for Discovery of Hidden Dependencies in Engineering of Autonomous and Semi-Autonomous Systems (importance: 15)
- V$^3$AST-Bench: Verifiable, Valid, and Versatile Safety Evaluation for Coding Agents (importance: 25)
- Behavioral Regression Detection for Pull Requests via Structured Oracles (importance: 22)
- Chart the Invisible: Interactive Perception for Hidden-Target Exploration in GUI Agents (importance: 15)
- Testing with Coding Agents: A Large-Scale Comparison of Agent-Supported and Human-Authored Pull Requests (importance: 30)
- RepoTrace: Improving Requirement Tracing in Multi-Round Agent Interactions (importance: 22)
- Toward Evidence-Based Agentic Software Engineering (importance: 28)
- Making Small Code LLMs More Efficient for Secure Code Review with Neuro-Symbolic Fine-Tuning (importance: 20)
- Understanding Python Linters through a Comprehensive and Systematic Empirical Study (importance: 22)
- FeatureLoop: Benchmarking Coding Agents under Evolving Requirements (importance: 25)
- The Hidden Costs of Forgetting: A Study of Trajectory Deletion in Software Engineering Agents (importance: 25)
- Ranking Function Generation with LLMs for Termination (importance: 12)
- FLOWSTEP: A Framework for Learning to Predict GitHub Actions Workflow STEPs (importance: 15)
- RADAgent: Automating RADseq Pipelines with Private Open-Source LLMs (importance: 12)
- Position, Role or Label? A Controlled Study of Instruction Conflicts in LLM Agents (importance: 25)
- PMU Foundation Model Bridge: A Tool for Connecting Synchrophasor Streams to Time Series Foundation Models (importance: 12)
- BoardSafety: AI-Ready Data from Manufacturer Documentation for Development-Board Safety (importance: 12)
- Secure and Functional Code Generation with Self-Evaluation (importance: 22)
- SWE-Ladder: Learning to Localize, Reproduce, and Patch via Progressive Privileged Self-Distillation (importance: 25)
- VulDec: Vulnerability Detection in Binaries via Neural Decompilation (importance: 15)
- Numina Fuse: Interactive Autoformalization in Lean 4 (importance: 22)
- FlashScript: Compiling Recurring Agent Workflows into Reusable Neuro-Symbolic Programs (importance: 22)
- The Computational Assessment Stack: An Architecture for AI-Native Measurement (importance: 12)
- $\Delta\tau$-Bench: Pushing Agents Toward a Moving Capability (importance: 25)
- Repairing Broken Access Control in Web Applications with LLMs: An Empirical Benchmark Study (importance: 18)
- CyberDual: AI Attackers versus AI Code Reviewers in Real Software Maintenance (importance: 30)
- MOFjson: An Explicit Topological Representation of Metal-Organic Frameworks for Language Models (importance: 10)
- Agentic AI Orchestration Framework for Spatial Intelligence: Supply Chain Deployment (importance: 12)
- NovaFabric: A Black-Box Recorder for AI Agents with Sealed, Replayable, Diffable and Auditable Runs (importance: 28)
- AgentProofBench: Benchmarking Reusable Verifiers for Web Agents (importance: 18)
- Arya Forge: Auditing Validation and Release Approval for Financial Instruction Data (importance: 12)
- Decision Model Factory: Building Specialized Sovereign Decision Models (importance: 15)
- Priority-Aware Scheduler for Serverless Functions Provision and Load Balancing (importance: 10)
- Then there is prompt injection, a malicious email, ...: The Wild Wide West of OpenClaw Agentic System Security (importance: 30)
- Governing Enterprise AI Traffic at Scale: Design and Operation of a Policy-Driven, Multi-Vendor LLM Gateway on Envoy (importance: 30)
- JANUS: Synthesizing Cross-Layer Defenses Against Web Deserialization Attacks (importance: 12)
- The Agent in the Middle: How AI-Mediated Access Reshapes Web Vulnerability Exploitation (importance: 20)
- Making the Telemetry Pipeline Measurable: An Edge IoT Testbed and Dataset for End-to-End Latency, Provenance, and Energy-Aware Benchmarking (importance: 8)
- GEAR: Feature-Based Configuration and Code Generation for Agentic Systems (importance: 20)
- Free to Look, Free to Reason: Simple LLM Harnesses Outdiagnose Hand-Crafted Root Cause Analysis Agents (importance: 22)
- How Quickly Do Development Teams Update Their Vulnerable Dependencies? (importance: 12)
- GPU-Accelerated Belief Propagation for Program Analysis (importance: 10)
- A Causal Perspective on the Role of Training Dynamics for Interpreting Privacy Risks in Code Models (importance: 15)
- Human-AI Synergy in Agentic Code Review (importance: 28)
- Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs (importance: 20)
- EviACT: An Evidence-to-Action Framework for Agentic Program Repair (importance: 20)
- Enhancing Software Engineering Through Closed-Loop Memory Optimization (importance: 18)
- Tiny Machine-Learning Operations within Cyber-Physical Systems: a Field Study (importance: 12)
- Matching Matters: A Fair Quality-Efficiency Benchmark for Command-Line Agents (importance: 22)
- A Difference Without a Distinction: A Measurement Study of Release Trust Evidence in Package Registries (importance: 20)
- MicroAgent: Context-Augmented Multi-Agent Framework for Automatic Microservice Decomposition (importance: 15)
- Compaction as Epistemic Failure: How Agentic LLM Tools Fabricate Confirmed Results from Killed Processes (importance: 30)
- In the Driver's Seat: A Multi-Company Study on the Reality of Autonomous Driving System Testing (importance: 10)
- Change2Task: From Repository Changes to Executable Coding Agent Tasks and Environments (importance: 20)
- SemaPLC: A Project-Grounded, Verification-Gated Agent Harness for PLC Code Generation (importance: 15)
- AgentLogs: A Dataset for Opening the Black Box of Cloud Agents on GitHub (importance: 22)
- Broken on Arrival: Non-Functional Quantized LLM Artifacts in Public Model Registries and How to Catch Them (importance: 22)
- SpecAgent: Empowering Program Verification with Agentic Synthesis of Formal Program Specifications (importance: 15)
- Folding Pooled Usage Examples into the Tool Index Lowers Retrieval of Unused Tools (importance: 18)
- What's in a Package? Getting Visibility Into Dependencies Using Security-Sensitive API Calls (importance: 10)
- PBFuzz: Agentic Directed Fuzzing for PoV Generation (importance: 18)
- Terminus-4B: Can a Smaller Model Replace Frontier LLMs at Agentic Execution Tasks? (importance: 22)
- Web Agents Should Adopt the Compile-and-Execute Paradigm (importance: 22)
- EntailLLM: Verifying Agent-Generated Vulnerability Discovery Paths with Domain Knowledge via Logic Programming (importance: 12)
- A2ABreak: Systematic Security Analysis of the A2A Protocol (importance: 28)
- Can Loan Processors and Underwriters Spot AI-Edited Statements? An Empirical Study (importance: 10)
- Shitty Screenshare (importance: 4)
- A fast and secure tar parser for the Rust ecosystem (importance: 4)
- A stackless floodfill automation (2023) (importance: 3)
- A faster way to compute signed 64-bit floor division by constants (importance: 3)
- Filian, Fil-C binaries on Debian (importance: 3)
- Compile-Time Dependent Types (importance: 3)
- Why is it so expensive to send an email? (importance: 3)
- Stalwart v1.0: The Fastest Mail Server on the Planet (importance: 3)
- Gram 3.4.0 released (importance: 3)
- Full Haskell-like Type Class resolution in Java (importance: 3)
- Finding panics with Call Graph Analyzer (importance: 3)
- 1,447 emoji? We'll do it live (importance: 2)
- slughorn — GPU Vector Graphics (importance: 2)
- The Shift of Theseus — Toy Bit Provenance Abstract Domain (importance: 2)
- TypeScript and Haskell: Unions & Singletons (2024) (importance: 2)
- A select should tell you something (importance: 2)
- Keyless Entry: Hacking SwitchBot Smart Locks (importance: 3)
- Decision Studio: Try Decision Models Without Writing a Request (importance: 0) (いいね相当スコア: 0)
- How we built an AI buyer that pushes back (instead of agreeing with you) (importance: 0) (いいね相当スコア: 0)
- Your agent can pay now. Here is the layer that decides whether it should. (importance: 0) (いいね相当スコア: 0)
- Terminal Lovers gonna droll over (importance: 0) (いいね相当スコア: 0)
- Why AI Agents Fail in Production: The Hidden Challenges Beyond Prompt Engineering (importance: 0) (いいね相当スコア: 0)
- Day 27: Observability and Tracing for Agentic Systems — Telemetry, Logs and Metrics (importance: 0) (いいね相当スコア: 0)
- VoiceSnap Pro (importance: 0) (いいね相当スコア: 0)
- Koala Writer vs ContentRails: Two Ways to Profile a Site Before Writing (importance: 0) (いいね相当スコア: 0)
- hauntctl: I Held a Séance for My Git History (importance: 0) (いいね相当スコア: 0)
- I Used Opus 5.5 to Build the Entire Middle-earth in Three.js (importance: 0) (いいね相当スコア: 1)
- We publicly grade every AI football prediction — here's the pipeline (importance: 0) (いいね相当スコア: 1)
- How to Use TruLata AI for Beginners (2026 Guide) (importance: 0) (いいね相当スコア: 0)
- Self-Hosted LLM vs API Cost: Below $10.5K a Month, an H200 Node Can't Beat the API (importance: 0) (いいね相当スコア: 0)
- Agentic AI: A Deep Dive (importance: 0) (いいね相当スコア: 0)
- Agentic workflows vs AI agents, and when not to build one (importance: 0) (いいね相当スコア: 0)
- Chatbot AI Service Comparison: Reviewable Features for Candidate Scoring Pipelines (importance: 0) (いいね相当スコア: 0)
- AI-Powered Process Automation Across the Customer Journey: Make Every Handoff Count (importance: 0) (いいね相当スコア: 0)
- Sizing VRAM for a Self-Hosted LLM: 7B to 70B on a Rented GPU Server (importance: 0) (いいね相当スコア: 0)
- Agent Memory Just Became Infrastructure (importance: 0) (いいね相当スコア: 0)
- The Agentic Development Lifecycle - We wrote 29 rules for every check we built (importance: 0) (いいね相当スコア: 0)
- Context Engineering: State Transition (Context Assembly) (importance: 0) (いいね相当スコア: 0)
- 15 newer AI models, one nuclear button: 2 ended the world, 9 never fired (importance: 0) (いいね相当スコア: 0)
- Claude Opus 5.5 is insane in creating creating 3D movies. (importance: 15)
- Claude is performing 3.8x poorer compared to last week based on my claude code token analysis (importance: 20)
- Claude Code reverse-engineered the Xbox 360 kernel and wrote a native driver so Series X|S controllers work on it (importance: 25)
- Claude throwing punches out here (importance: 3)
- Incredible accomplishment (importance: 8)
- Since the screen cracked, Claude helps fit the window into the normal area. (importance: 5)
- Opus 5.5 touched a nerve 💀 (importance: 20)
- I.... am a moron. (importance: 10)
- Week 13 of making fishing and exploration game - demo almost finished (importance: 5)
- What's the point of Claude Duet? (importance: 5)
- I built a 90s cable TV guide for Plex, Jellyfin and Emby with Claude. Started in May, 1400+ Apple TV downloads later, now porting it to Roku (importance: 15)
- Just got off the Claude Duet waitlist, and they gave me a free reset too! (importance: 5)
- Have Claude's usage limits repeatedly gotten worse before major model releases? I checked the dates. (importance: 25)
- Hmm yes this is a very dangerous cybersecurity prompt (importance: 5)
- Remember that MMO I vibe coded with Claude in June? 92 of you helped turn it into a real game (importance: 10)
- I made an online WW2 dogfight game that runs in the browser with Claude (importance: 10)
- Am I stupid for not using any skills (importance: 10)
- Claude is great the way it is (importance: 5)
- Is this the moment when AI bubble bursts? (importance: 10)
- Used Claude Code to patch MLB The Show 16 on RPCS3 so I could play online with a friend again (importance: 15)
- Playing around with 3d visualizations (importance: 10)
- I feel like such an idiot for not using Claude sooner (importance: 10)
- I am a King, but local 😂 (importance: 8)
- LiquidAI/LFM3-1.7B · Hugging Face (importance: 35)
- Ling-3.1-flash-1019 weights are out, and they released the base model too (importance: 35)
- Real-time video captioning with LFM3-VL-2B running locally in-browser on WebGPU (importance: 25)
- Spark-X2.6-1.7B, almost the same perf as 4b (importance: 25)
- 8x R9700 System Upgrade (importance: 8)
- inclusionAI/Ling-3.1-flash-1019 · Hugging Face (importance: 30)
- baidu/Unlimited-OCR-2 · Hugging Face (importance: 30)
- SenseNova 6.8 Code2Video: an open-sourced model that writes and revises code to make videos (importance: 30)
- A 1.3B OCR model just hit 93.68 on real-world document parsing and there's now an AI judge for OCR errors (importance: 30)
- Update: My 4B coding model is getting better at generating 3D scenes (importance: 15)
- 4 coding agents on one RTX 3090: ~290 tok/s total from a custom CUDA engine for Qwen3.8-27B (3-4x llama-server --parallel) (importance: 30)
- We put DeepSeek in charge of four Qwen3.5-9B models to reverse engineer binaries using smaller open models. (importance: 20)
- Comparing ISTA-DASLab's DeepSeek-V4.1-Flash-1017-GSQ-RCO-GGUF 2.25bpw against the official API (importance: 25)
- OpenBMB released a 1.3B OCR model and a separate 2B model to check its work (importance: 25)
- Statistically Lossless Qwen3.8 27B GGUFs (importance: 25)
- PSA: Qwen-3.8-FN is about to win the 2026 ARC-AGI-3 challenge (importance: 15)
- r/LocalLLaMA Community Benchmarks — GLM 5.3 Flash vs Hy 4 Preview vs MiMo v2.6 Pro (importance: 25)
- How to Build a Decision Model Like Jev (importance: 15)
- Tensor Split Over PCIe 3.0 x1 — Good Results (importance: 15)
- A local coding model benchmark should include the whole setup (importance: 15)
- Weekly Hiring Thread (importance: 3)
- What is something that you have successfully automated with an AI Agent? (importance: 8)
- Asana survey: 46% of people using 2+ agents estimate managing them takes 10%+ of their working time. Do you design for the human supervising them? (importance: 25)
- Multi-Agent Communication (importance: 10)
- Which phone provider works best for AI voice agents? (importance: 10)
- My nightly agent-learning job did nothing for a week and logged success every night (importance: 20)
- What do you require before an agent may change something in the physical world? (importance: 15)
- AI for Personal Development (importance: 5)
- Logging vs. monitoring (importance: 15)
- Best Claude connectors for video generation (importance: 10)
- Most multi-agent setups fail because they have too much process. Ours built 11 libraries in 6 days with less. (importance: 25)
- IDE agent or terminal agent: which coding agent setup actually stuck for you? (importance: 10)
- Asked 36 AI judges from 8 model families which they'd leave running for 48 hours, my 3-star setup or Superpowers (importance: 15)
- When do you stop correcting an agent and start the task over? (importance: 10)
- Path for refining and securing AI platforms (importance: 10)
- What's the best desktop AI agent now? (importance: 10)
- What was the first thing that broke when your agent went from demo to production? (importance: 15)
- My reviewers keep asking why and the honest answer is Codex decided (importance: 12)
- What is the best way to give an agent instruction in between a run? (importance: 10)
- Stop asking how smart your agent is and start asking what it can touch (importance: 10)
- why is everyone still using cloud llms just to route tool calls? tested local cpu embeddings vs bm25 on 100k tools (importance: 25)
- Going solo with web dev + AI automation in a mid-sized French city: is there a market, and what would you sell? (importance: 5)
- Hide & Sneak: hide your sensitive info from AI agents (importance: 15)
- How much access should an AI agent have? (importance: 15)
- Crazy realistic now. We're cooked. (importance: 20)
- Two physicists asked AI to choose a problem on its own, solve it and write a paper that could be published in a prestigious journal. In two hours, AI produced a paper with a novel, significant result. (importance: 25)
- The perfect storm (importance: 5)
- "Outweighing American voices": AI backed funding worth over $300m could threaten US Midterms (importance: 25)
- They need to know how it all happened (importance: 5)
- OpenAI banned my main working account today because of a linked account flagged in August. Support bot closed the case in 3 minutes, and GDPR data export is completely blocked. (importance: 15)
- ChatGPT account deactivated for a serious policy violation I did not commit. Appeal and support only gave automated replies. What else can I try? (importance: 15)
- Do GPT 6.1 Terra even make sense? (GPT 6.1 Sol outperforming GPT 6.1 Terra at same cost) (importance: 30)
- Benchmark Results on hard algorithmic problems with GPT 6.1 Terra (importance: 30)
- UK Home Office May Face Investigation Over Use of OpenAI Tools (importance: 20)
- Ai only seems to mimic human speech because of quarantine (importance: 5)
- My hamster Wally is powering my local AI so I don’t need a data center (importance: 3)
- What do you let an agent run overnight, and how do you know it actually finished? (importance: 15)
- These are mostly consumer AI assistants (or agents people hand their logins to) that banks didn’t approve. (importance: 30)
- Am I missing something? OpenAI support really sucks. (importance: 8)
- The problem with terra as i see it, in 1 picture. (importance: 15)
- Hot take: The 'suggested follow-up' prompts are more useful than almost anything from OpenAI's 28 Days of Shipping (importance: 8)
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