Claw AI Lab: An Autonomous Multi-Agent Research Team - 惯性聚合

推荐订阅源

博客园 - Franky

Proofpoint News Feed

Palo Alto Networks Blog

Hackread – Cybersecurity News, Data Breaches, AI and More

The Register - Security

Security @ Cisco Blogs

Simon Willison's Weblog

Recorded Future

大猫的无限游戏

Microsoft Research Blog - Microsoft Research

Tailwind CSS Blog

cs.CV updates on arXiv.org

Cyber Security Advisories - MS-ISAC

Application and Cybersecurity Blog

True Tiger Recordings

有赞技术团队

Cisco Talos Blog

Hacker News - Newest: "LLM"

The GitHub Blog

cs.AI updates on arXiv.org

博客园 - 叶小钗

Hugging Face - Blog

Hacker News: Ask HN

Security Archives - TechRepublic

Future of Privacy Forum

PCI Perspectives

Help Net Security

让小产品的独立变现更简单 - ezindie.com

The Blog of Author Tim Ferriss

Netflix TechBlog - Medium

罗磊的独立博客

Apple Machine Learning Research

Security Latest

美团技术团队

博客园 - 三生石上(FineUI控件)

Schneier on Security

CERT Recently Published Vulnerability Notes

cs.AI updates on arXiv.org

KAPPS: A knowledge-based CPPS Architecture for the Circular Factory The Attribution Impossibility: No Feature Ranking Is Faithful, Stable, and Complete Under Collinearity Scaling Observation-aware Planning in Uncertain Domains MPDocBench-Parse: Benchmarking Practical Multi-page Document Parsing Trace2Skill: Verifier-Guided Skill Evolution for Long-Context EDA Agents SMDD-Bench: Can LLMs Solve Real-World Small Molecule Drug Design Tasks? Towards a General Intelligence and Interface for Wearable Health Data WorkstreamBench: Evaluating LLM Agents on End-to-End Spreadsheet Tasks in Finance Evaluation of Pipelines for Data Integration into Knowledge Graphs CLORE: Content-Level Optimization for Reasoning Efficiency S2ED: From Story to Executable Descriptions for Consistency-Aware Story Illustration AttuneBench: A Conversation-Based Benchmark for LLM Emotional Intelligence AtelierEval: Agentic Evaluation of Humans & LLMs as Text-to-Image Prompters Spreadsheet-RL: Advancing Large Language Model Agents on Realistic Spreadsheet Tasks via Reinforcement Learning Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs MOSS: Self-Evolution through Source-Level Rewriting in Autonomous Agent Systems Who Uses AI? Platforms, Workforce, and AI Exposure Meta-Soft: Leveraging Composable Meta-Tokens for Context-Preserving KV Cache Compression ExComm: Exploration-Stage Communication for Error-Resilient Agentic Test-Time Scaling Skill Weaving: Efficient LLM Improvement via Modular Skillpacks Towards Direct Evaluation of Harness Optimizers via Priority Ranking TerminalWorld: Benchmarking Agents on Real-World Terminal Tasks Knowledge Graph Re-engineering Along the Ontological Continuum (extended version) Toward AI VIS Co-Scientists: A General and End-to-End Agent Harness for Solving Complex Data Visualization Tasks SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Can AI Make Conflicts Worse? An Alignment Failure in LLM Deployment Across Conflict Contexts Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less Cost HarnessAPI: A Skill-First Framework for Unified Streaming APIs and MCP Tools Memory-Induced Supra-Competitive Outcomes Between Deep Reinforcement Learning Agents in Optimal Trade Execution The Impact of AI Usage and Informativeness on Skill Development in Logical Reasoning Latent-space Attacks for Refusal Evasion in Language Models The Shape of Testimony: A Scalable Framework for Oral History Archive Comparison SGR-Bench: Benchmarking Search Agents on State-Gated Retrieval AI-Enabled Serious Games: Integrating Intelligence and Adaptivity in Training Systems LCGuard: Latent Communication Guard for Safe KV Sharing in Multi-Agent Systems ECPO: Evidence-Coupled Policy Optimization for Evidence-Certified Candidate Ranking A Subjective Logic-based method for runtime confidence updates in safety arguments Unlocking Proactivity in Task-Oriented Dialogue Measuring Cross-Modal Synergy: A Benchmark for VLM Explainability Active Evidence-Seeking and Diagnostic Reasoning in Large Language Models for Clinical Decision Support IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents The Log is the Agent: Event-Sourced Reactive Graphs for Auditable, Forkable Agentic Systems MindLoom: Composing Thought Modes for Frontier-Level Reasoning Data Synthesis LLM-Metrics: Measuring Research Impact Through Large Language Model Memory Towards a compositional semantics for quantitative confidence assessment in assurance arguments ArborKV: Structure-Aware KV Cache Management for Scaling Tree-based LLM Reasoning Meta-Learning for Rapid Adaptation in Reference Tracking of Uncertain Nonlinear Systems Think Thrice Before You Speak: Dual knowledge-enhanced Theory-of-Mind Reasoning for Persuasive Agents Gated DeltaNet-2: Decoupling Erase and Write in Linear Attention Parametric Modular Answer Set Programs Made Declarative Forecasting Scientific Progress with Artificial Intelligence Beyond the Org Chart: AI and the Transformation of Invisible Work Advancing Mathematics Research with AI-Driven Formal Proof Search AOP-Wiki EMOD 3.0: Data Model Expansions and Content Evaluation Framework for Using Agentic AI to Improve Integration between AOPs and New Approach Methodologies (NAMs) High-speed Networking for Giga-Scale AI Factories What Counts as AI Sycophancy? A Taxonomy and Expert Survey of a Fragmented Construct Investigating Concept Alignment Using Implausible Category Members Format-Constraint Coupling in Knowledge Graph Construction from Statistical Tables FLUID: From Ephemeral IDs to Multimodal Semantic Codes for Industrial-Scale Livestreaming Recommendation A Causal Argumentation Method for Explainability of Machine Learning Models Adapting the Interface, Not the Model: Runtime Harness Adaptation for Deterministic LLM Agents Implicit Safety Alignment from Crowd Preferences Cross-domain benchmarks reveal when coordinated AI agents improve scientific inference from partial evidence TO-Agents: A Multi-Agent AI Pipeline for Preference-Guided Topology Optimization Evaluating Large Language Models as Live Strategic Agents: Provider Performance, Hybrid Decomposition, and Operational Gaps in Timed Risk Play A Camera-Cooperative ISAC Framework for Multimodal Non-Cooperative UAVs Sensing Is Capability a Liability? More Capable Language Models Make Worse Forecasts When It Matters Most Deep Reinforcement Learning for Flexible Job Shop Scheduling with Random Job Arrivals Search-E1: Self-Distillation Drives Self-Evolution in Search-Augmented Reasoning Efficient Agentic Reasoning Through Self-Regulated Simulative Planning Echo: Learning from Experience Data via User-Driven Refinement Beyond Acoustic Emotion Recognition: Multimodal Pathos Analysis in Political Speech Using LLM-Based and Acoustic Emotion Models Planning in the LLM Era: Building for Reliability and Efficiency Enhancing Visual Token Representations for Video Large Language Models via Training-Free Spatial-Temporal Pooling and Gridding Teaching Language Models to Forecast Research Success Through Comparative Idea Evaluation AMEL: Accumulated Message Effects on LLM Judgments Epicure: Navigating the Emergent Geometry of Food Ingredient Embeddings ST-SimDiff: Balancing Spatiotemporal Similarity and Difference for Efficient Video Understanding with MLLMs Perception or Prejudice: Can MLLMs Go Beyond First Impressions of Personality? LACO: Adaptive Latent Communication for Collaborative Driving Ratchet: A Minimal Hygiene Recipe for Self-Evolving LLM Agents Lean Refactor: Multi-Objective Controllable Proof Optimization via Agentic Strategy Search JUDO: A Juxtaposed Domain-Oriented Multimodal Reasoner for Industrial Anomaly QA Mahjax: A GPU-Accelerated Mahjong Simulator for Reinforcement Learning in JAX SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation Variance Reduction for Expectations with Diffusion Teachers Quantifying Hyperparameter Transfer and the Importance of Embedding Layer Learning Rate Pseudo-Siamese Network for Planning in Target-Oriented Proactive Dialogues Code Generation by Differential Test Time Scaling NeuroQA: A Large-Scale Image-Grounded Benchmark for 3D Brain MRI Understanding STELLAR: Scaling 3D Perception Large Models for Autonomous Driving Multi-agent Collaboration with State Management \ECUAS{n}: A family of metrics for principled evaluation of uncertainty-augmented systems torchtune: PyTorch native post-training library Data Scaling as Progressive Coverage of a Predictive Contribution Spectrum SDM: A Powerful Tool for Evaluating Model Robustness Approximation Theory for Neural Networks: Old and New AgentAtlas: Beyond Outcome Leaderboards for LLM Agents DEL: Digit Entropy Loss for Numerical Learning of Large Language Models Efficient Table QA via TableGrid Navigation and Progressive Inference Prompting

Claw AI Lab: An Autonomous Multi-Agent Research Team

Fan Wu, Chen · 2026-05-23 · via cs.AI updates on arXiv.org

此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。原文来自 — 版权归原作者所有。