{"total":232,"rows":[{"id":"2503.13657","title":"Why Do Multi-Agent LLM Systems Fail?","created":"2025-03-17","cited_by_count":604,"area":"agents"},{"id":"2501.06322","title":"Multi-Agent Collaboration Mechanisms: A Survey of LLMs","created":"2025-01-10","cited_by_count":431,"area":"agents"},{"id":"2502.17419","title":"From System 1 to System 2: A Survey of Reasoning Large Language Models","created":"2025-02-24","cited_by_count":320,"area":"lr"},{"id":"2505.00212","title":"Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems","created":"2025-04-30","cited_by_count":185,"area":"agents"},{"id":"2507.21504","title":"Evaluation and Benchmarking of LLM Agents: A Survey","created":"2025-07-29","cited_by_count":152,"area":"agents"},{"id":"2505.23885","title":"OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation","created":"2025-05-29","cited_by_count":131,"area":"lr"},{"id":"2506.18096","title":"Deep Research Agents: A Systematic Examination And Roadmap","created":"2025-06-22","cited_by_count":128,"area":"agents"},{"id":"2502.14499","title":"MLGym: A New Framework and Benchmark for Advancing AI Research Agents","created":"2025-02-20","cited_by_count":124,"area":"agents"},{"id":"2505.23643","title":"Securing AI Agents with Information-Flow Control","created":"2025-05-29","cited_by_count":121,"area":null},{"id":"2509.03312","title":"AgenTracer: Who Is Inducing Failure in the LLM Agentic Systems?","created":"2025-09-03","cited_by_count":116,"area":"agents"},{"id":"2504.09037","title":"A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems","created":"2025-04-12","cited_by_count":111,"area":"lr"},{"id":"2507.06229","title":"Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving","created":"2025-07-08","cited_by_count":94,"area":"agents"},{"id":"2501.07278","title":"Lifelong Learning of Large Language Model based Agents: A Roadmap","created":"2025-01-13","cited_by_count":83,"area":"agents"},{"id":"2412.01928","title":"MALT: Improving Reasoning with Multi-Agent LLM Training","created":"2024-12-02","cited_by_count":76,"area":"lr"},{"id":"2511.20639","title":"Latent Collaboration in Multi-Agent Systems","created":"2025-11-25","cited_by_count":73,"area":"lr"},{"id":"2501.09674","title":"Authenticated Delegation and Authorized AI Agents","created":"2025-01-16","cited_by_count":65,"area":null},{"id":"2506.12928","title":"Scaling Test-time Compute for LLM Agents","created":"2025-06-15","cited_by_count":63,"area":"lr"},{"id":"2603.25723","title":"Natural-Language Agent Harnesses","created":"2026-03-26","cited_by_count":61,"area":null},{"id":"2602.02475","title":"AgentRx: Diagnosing AI Agent Failures from Execution Trajectories","created":"2026-02-02","cited_by_count":60,"area":"agents"},{"id":"2503.11733","title":"LLM Agents for Education: Advances and Applications","created":"2025-03-14","cited_by_count":59,"area":"agents"},{"id":"2508.09124","title":"OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows","created":"2025-08-12","cited_by_count":57,"area":"agents"},{"id":"2503.12188","title":"Multi-Agent Systems Execute Arbitrary Malicious Code","created":"2025-03-15","cited_by_count":53,"area":"agents"},{"id":"2506.10055","title":"TaskCraft: Automated Generation of Agentic Tasks","created":"2025-06-11","cited_by_count":51,"area":"agents"},{"id":"2601.12538","title":"A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agents","created":"2026-01-18","cited_by_count":50,"area":"lr"},{"id":"2505.19443","title":"Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI","created":"2025-05-26","cited_by_count":42,"area":"agents"},{"id":"2505.07782","title":"MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering","created":"2025-05-12","cited_by_count":41,"area":"agents"},{"id":"2510.04851","title":"LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation","created":"2025-10-06","cited_by_count":40,"area":"agents"},{"id":"2502.14815","title":"Optimizing Model Selection for Compound AI Systems","created":"2025-02-20","cited_by_count":36,"area":null},{"id":"2511.19663","title":"Fara-7B: An Efficient Agentic Model for Computer Use","created":"2025-11-24","cited_by_count":35,"area":"agents"},{"id":"2502.16069","title":"Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents","created":"2025-02-22","cited_by_count":33,"area":"agents"},{"id":"2506.06541","title":"KramaBench: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes","created":"2025-06-06","cited_by_count":33,"area":null},{"id":"2509.13782","title":"Who is Introducing the Failure? Automatically Attributing Failures of Multi-Agent Systems via Spectrum Analysis","created":"2025-09-17","cited_by_count":33,"area":"agents"},{"id":"2506.15741","title":"OAgents: An Empirical Study of Building Effective Agents","created":"2025-06-17","cited_by_count":29,"area":"agents"},{"id":"2502.06472","title":"KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment","created":"2025-02-10","cited_by_count":27,"area":"agents"},{"id":"2509.25301","title":"Flash-Searcher: Fast and Effective Web Agents via DAG-Based Parallel Execution","created":"2025-09-29","cited_by_count":27,"area":"agents"},{"id":"2604.22708","title":"Seeing the Whole Elephant: A Benchmark for Failure Attribution in LLM-based Multi-Agent Systems","created":"2026-04-24","cited_by_count":27,"area":"agents"},{"id":"2506.03011","title":"Coding Agents with Multimodal Browsing are Generalist Problem Solvers","created":"2025-06-03","cited_by_count":25,"area":"agents"},{"id":"2502.07942","title":"Symbiotic Cooperation for Web Agents: Harnessing Complementary Strengths of Large and Small LLMs","created":"2025-02-11","cited_by_count":24,"area":"agents"},{"id":"2510.02837","title":"Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents","created":"2025-10-03","cited_by_count":24,"area":"lr"},{"id":"2512.06749","title":"DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems","created":"2025-12-07","cited_by_count":24,"area":"agents"},{"id":"2603.25001","title":"Rethinking Failure Attribution in Multi-Agent Systems: A Multi-Perspective Benchmark and Evaluation","created":"2026-03-26","cited_by_count":24,"area":"lr"},{"id":"2510.21236","title":"AgentBound: Securing Execution Boundaries of AI Agents","created":"2025-10-24","cited_by_count":23,"area":"agents"},{"id":"2601.13295","title":"CooperBench: Why Coding Agents Cannot be Your Teammates Yet","created":"2026-01-19","cited_by_count":23,"area":"agents"},{"id":"2411.14033","title":"LLM-based Multi-Agent Systems: Techniques and Business Perspectives","created":"2024-11-21","cited_by_count":22,"area":"agents"},{"id":"2501.16254","title":"Multi-Agent Geospatial Copilots for Remote Sensing Workflows","created":"2025-01-27","cited_by_count":22,"area":"agents"},{"id":"2509.14295","title":"Aegis: Automated Error Generation and Attribution for Multi-Agent Systems","created":"2025-09-17","cited_by_count":22,"area":"agents"},{"id":"2501.00881","title":"Agentic Systems: A Guide to Transforming Industries with Vertical AI Agents","created":"2025-01-01","cited_by_count":20,"area":"agents"},{"id":"2602.23701","title":"From Flat Logs to Causal Graphs: Hierarchical Failure Attribution for LLM-based Multi-Agent Systems","created":"2026-02-27","cited_by_count":19,"area":"agents"},{"id":"2604.08516","title":"MolmoWeb: Open Visual Web Agent and Open Data for the Open Web","created":"2026-04-09","cited_by_count":19,"area":"agents"},{"id":"2607.09996","title":"Who&When Pro: Can LLMs Really Attribute Failures in AI Agents?","created":"2026-07-10","cited_by_count":18,"area":"agents"},{"id":"2601.02695","title":"EvoRoute: Experience-Driven Self-Routing LLM Agent Systems","created":"2026-01-06","cited_by_count":16,"area":"agents"},{"id":"2601.07072","title":"Overcoming the Retrieval Barrier: Indirect Prompt Injection in the Wild for LLM Systems","created":"2026-01-11","cited_by_count":16,"area":"safety"},{"id":"2502.01635","title":"The AI Agent Index","created":"2025-02-03","cited_by_count":15,"area":"agents"},{"id":"2504.18565","title":"RepliBench: Evaluating the Autonomous Replication Capabilities of Language Model Agents","created":"2025-04-21","cited_by_count":15,"area":"agents"},{"id":"2506.03828","title":"AssetOpsBench: Benchmarking AI Agents for Task Automation in Industrial Asset Operations and Maintenance","created":"2025-06-04","cited_by_count":15,"area":"agents"},{"id":"2506.22419","title":"The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements","created":"2025-06-27","cited_by_count":15,"area":null},{"id":"2509.24088","title":"CORRECT: COndensed eRror RECognition via knowledge Transfer in multi-agent systems","created":"2025-09-28","cited_by_count":15,"area":"agents"},{"id":"2512.19396","title":"EchoTrail-GUI: Building Actionable Memory for GUI Agents via Critic-Guided Self-Exploration","created":"2025-12-22","cited_by_count":15,"area":"mllm"},{"id":"2502.00757","title":"AgentBreeder: Mitigating the AI Safety Risks of Multi-Agent Scaffolds via Self-Improvement","created":"2025-02-02","cited_by_count":14,"area":"agents"},{"id":"2508.01186","title":"A Survey on Agent Workflow -- Status and Future","created":"2025-08-02","cited_by_count":14,"area":"agents"},{"id":"2509.10401","title":"Abduct, Act, Predict: Scaffolding Causal Inference for Automated Failure Attribution in Multi-Agent Systems","created":"2025-09-12","cited_by_count":14,"area":"agents"},{"id":"2504.14597","title":"a1: Steep Test-time Scaling Law via Environment Augmented Generation","created":"2025-04-20","cited_by_count":13,"area":"lr"},{"id":"2511.02687","title":"The Collaboration Gap: Exploration and Benchmarking of Open-World Agentic Cooperation","created":"2025-11-04","cited_by_count":13,"area":"agents"},{"id":"2412.10380","title":"Challenges in Human-Agent Communication","created":"2024-11-28","cited_by_count":12,"area":"agents"},{"id":"2510.17276","title":"Breaking and Fixing Defenses Against Control-Flow Hijacking in Multi-Agent Systems","created":"2025-10-20","cited_by_count":12,"area":"agents"},{"id":"2606.00765","title":"FALAT: Tracing Failures in LLM Agent Trajectories via Dependency-Guided Search","created":"2026-05-30","cited_by_count":12,"area":"lr"},{"id":"2606.20683","title":"From Question Answering to Task Completion: A Survey on Agent System and Harness Design","created":"2026-06-14","cited_by_count":12,"area":"agents"},{"id":"2504.04319","title":"Geo-OLM: Enabling Sustainable Earth Observation Studies with Cost-Efficient Open Language Models & State-Driven Workflows","created":"2025-04-06","cited_by_count":11,"area":null},{"id":"2602.11583","title":"The Five Ws of Multi-Agent Communication: Who Talks to Whom, When, What, and Why -- A Survey from MARL to Emergent Language and LLMs","created":"2026-02-12","cited_by_count":10,"area":"agents"},{"id":"2507.16853","title":"MobileUse: A GUI Agent with Hierarchical Reflection for Autonomous Mobile Operation","created":"2025-07-21","cited_by_count":9,"area":"agents"},{"id":"2602.15382","title":"The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems","created":"2026-02-17","cited_by_count":9,"area":"lr"},{"id":"2603.17307","title":"Symphony: A Cognitively-Inspired Multi-Agent System for Long-Video Understanding","created":"2026-03-18","cited_by_count":9,"area":"agents"},{"id":"2607.12747","title":"Tracing Agentic Failure from the Flow of Success","created":"2026-07-14","cited_by_count":8,"area":"agents"},{"id":"2503.19193","title":"Browsing Lost Unformed Recollections: A Benchmark for Tip-of-the-Tongue Search and Reasoning","created":"2025-03-24","cited_by_count":7,"area":null},{"id":"2508.02921","title":"PentestJudge: Judging Agent Behavior Against Operational Requirements","created":"2025-08-04","cited_by_count":7,"area":"agents"},{"id":"2508.05492","title":"MoMA: A Mixture-of-Multimodal-Agents Architecture for Enhancing Clinical Prediction Modelling","created":"2025-08-07","cited_by_count":7,"area":null},{"id":"2510.00510","title":"JoyAgent-JDGenie: Technical Report on the GAIA","created":"2025-10-01","cited_by_count":7,"area":null},{"id":"2601.00481","title":"MAESTRO: Multi-Agent Evaluation Suite for Testing, Reliability, and Observability","created":"2026-01-01","cited_by_count":7,"area":"agents"},{"id":"2602.05446","title":"DiLLS: Interactive Diagnosis of LLM-based Multi-agent Systems via Layered Summary of Agent Behaviors","created":"2026-02-05","cited_by_count":7,"area":"agents"},{"id":"2607.08938","title":"Better Harnesses, Smaller Models: Building 90% Cheaper Agents via Automated Harness Adaptation","created":"2026-07-09","cited_by_count":7,"area":"agents"},{"id":"2504.02670","title":"Affordable AI Assistants with Knowledge Graph of Thoughts","created":"2025-04-03","cited_by_count":6,"area":"lr"},{"id":"2505.12543","title":"Disambiguation in Conversational Question Answering in the Era of LLMs and Agents: A Survey","created":"2025-05-18","cited_by_count":6,"area":"agents"},{"id":"2509.24380","title":"Agentic Services Computing","created":"2025-09-29","cited_by_count":6,"area":"agents"},{"id":"2510.11004","title":"Automating Structural Engineering Workflows with Large Language Model Agents","created":"2025-10-13","cited_by_count":6,"area":"agents"},{"id":"2510.12838","title":"A$^2$FM: An Adaptive Agent Foundation Model for Tool-Aware Hybrid Reasoning","created":"2025-10-13","cited_by_count":6,"area":"lr"},{"id":"2510.25744","title":"Completion $\\neq$ Collaboration: Scaling Collaborative Effort with Agents","created":"2025-10-29","cited_by_count":6,"area":null},{"id":"2603.22791","title":"ABSTRAL: Automatic Design of Multi-Agent Systems Through Iterative Refinement and Topology Optimization","created":"2026-03-24","cited_by_count":6,"area":"agents"},{"id":"2605.07509","title":"MASPrism: Lightweight Failure Attribution for Multi-Agent Systems Using Prefill-Stage Signals","created":"2026-05-08","cited_by_count":6,"area":"agents"},{"id":"2606.10106","title":"What makes a harness a harness: necessary and sufficient conditions for an agent harness","created":"2026-06-08","cited_by_count":6,"area":"agents"},{"id":"2606.14502","title":"From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI","created":"2026-06-12","cited_by_count":6,"area":null},{"id":"2606.20785","title":"Fara-1.5: Scalable Learning Environments for Computer Use Agents","created":"2026-06-18","cited_by_count":6,"area":"agents"},{"id":"2606.26080","title":"Neglected Free Lunch from Post-training: Progress Advantage for LLM Agents","created":"2026-06-24","cited_by_count":6,"area":"lr"},{"id":"2609.00006","title":"Harness Engineering: Anatomy, Architecture, and Evolution of Coding Agents -- A Source-Code Study of Eleven Systems","created":"2026-07-15","cited_by_count":6,"area":"agents"},{"id":"2502.19091","title":"Nexus: A Lightweight and Scalable Multi-Agent Framework for Complex Tasks Automation","created":"2025-02-26","cited_by_count":5,"area":"lr"},{"id":"2505.13453","title":"Pel, A Programming Language for Orchestrating AI Agents","created":"2025-04-03","cited_by_count":5,"area":"agents"},{"id":"2505.20266","title":"syftr: Pareto-Optimal Generative AI","created":"2025-05-26","cited_by_count":5,"area":"rag"},{"id":"2506.23793","title":"Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-Tuning","created":"2025-06-30","cited_by_count":5,"area":null},{"id":"2510.06711","title":"Inefficiencies of Meta Agents for Agent Design","created":"2025-10-08","cited_by_count":5,"area":"agents"},{"id":"2510.23856","title":"From Benchmarks to Business Impact: Deploying IBM Generalist Agent in Enterprise Production","created":"2025-10-27","cited_by_count":5,"area":null},{"id":"2511.19417","title":"Be My Eyes: Extending Large Language Models to New Modalities Through Multi-Agent Collaboration","created":"2025-11-24","cited_by_count":5,"area":"lr"}],"next_cursor":"100"}