{"total":77,"rows":[{"id":"2503.21460","title":"Large Language Model Agent: A Survey on Methodology, Applications and Challenges","created":"2025-03-27","cited_by_count":205,"area":"agents"},{"id":"2504.07079","title":"SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills","created":"2025-04-09","cited_by_count":192,"area":"agents"},{"id":"2507.21046","title":"A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence","created":"2025-07-28","cited_by_count":170,"area":"agents"},{"id":"2504.01990","title":"Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems","created":"2025-03-31","cited_by_count":126,"area":"agents"},{"id":"2402.04253","title":"AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls","created":"2024-02-06","cited_by_count":124,"area":"agents"},{"id":"2603.10165","title":"OpenClaw-RL: Train Any Agent Simply by Talking","created":"2026-03-10","cited_by_count":90,"area":"agents"},{"id":"2504.13865","title":"A Survey on (M)LLM-Based GUI Agents","created":"2025-03-27","cited_by_count":62,"area":"agents"},{"id":"2506.01716","title":"Self-Challenging Language Model Agents","created":"2025-06-02","cited_by_count":59,"area":"agents"},{"id":"2402.14865","title":"Dynamic Evaluation of Large Language Models by Meta Probing Agents","created":"2024-02-21","cited_by_count":54,"area":"agents"},{"id":"2402.15506","title":"AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning","created":"2024-02-23","cited_by_count":53,"area":"agents"},{"id":"2601.07055","title":"Dr. Zero: Self-Evolving Search Agents without Training Data","created":"2026-01-11","cited_by_count":44,"area":"agents"},{"id":"2508.21148","title":"A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers","created":"2025-08-28","cited_by_count":37,"area":"agents"},{"id":"2602.21320","title":"Tool-R0: Self-Evolving LLM Agents for Tool-Learning from Zero Data","created":"2026-02-24","cited_by_count":34,"area":"agents"},{"id":"2510.07841","title":"Self-Improving LLM Agents at Test-Time","created":"2025-10-09","cited_by_count":30,"area":"agents"},{"id":"2510.08529","title":"CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards","created":"2025-10-09","cited_by_count":29,"area":"agents"},{"id":"2402.04210","title":"Task Success is not Enough: Investigating the Use of Video-Language Models as Behavior Critics for Catching Undesirable Agent Behaviors","created":"2024-02-06","cited_by_count":25,"area":"agents"},{"id":"2408.05346","title":"DataNarrative: Automated Data-Driven Storytelling with Visualizations and Texts","created":"2024-08-09","cited_by_count":25,"area":"agents"},{"id":"2402.17896","title":"Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web Agents","created":"2024-02-27","cited_by_count":23,"area":"agents"},{"id":"2403.14589","title":"ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy","created":"2024-03-21","cited_by_count":23,"area":"agents"},{"id":"2410.07672","title":"MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization","created":"2024-10-10","cited_by_count":22,"area":"agents"},{"id":"2607.13104","title":"Self-Improvements in Modern Agentic Systems: A Survey","created":"2026-07-14","cited_by_count":19,"area":"agents"},{"id":"2504.05370","title":"EduPlanner: LLM-Based Multi-Agent Systems for Customized and Intelligent Instructional Design","created":"2025-04-07","cited_by_count":18,"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":"2405.15821","title":"Reinforcing Language Agents via Policy Optimization with Action Decomposition","created":"2024-05-23","cited_by_count":16,"area":"agents"},{"id":"2410.15287","title":"Training Language Models to Critique With Multi-agent Feedback","created":"2024-10-20","cited_by_count":16,"area":"agents"},{"id":"2605.03042","title":"ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration","created":"2026-05-04","cited_by_count":16,"area":"agents"},{"id":"2606.25996","title":"Autodata: An agentic data scientist to create high quality synthetic data","created":"2026-06-24","cited_by_count":16,"area":"agents"},{"id":"2502.00792","title":"RTBAgent: A LLM-based Agent System for Real-Time Bidding","created":"2025-02-02","cited_by_count":14,"area":"agents"},{"id":"2603.21362","title":"AdaRubric: Task-Adaptive Rubrics for Reliable LLM Agent Evaluation and Reward Learning","created":"2026-03-22","cited_by_count":13,"area":"agents"},{"id":"2608.19880","title":"EnvHarness: Awakening Static Worlds for Agent Learning","created":"2026-08-20","cited_by_count":13,"area":"agents"},{"id":"2402.06700","title":"Entropy-Regularized Token-Level Policy Optimization for Language Agent Reinforcement","created":"2024-02-09","cited_by_count":12,"area":"agents"},{"id":"2601.03743","title":"O-Researcher: An Open Ended Deep Research Model via Multi-Agent Distillation and Agentic RL","created":"2026-01-07","cited_by_count":11,"area":"agents"},{"id":"2404.17662","title":"PLAYER*: Enhancing LLM-based Multi-Agent Communication and Interaction in Murder Mystery Games","created":"2024-04-26","cited_by_count":10,"area":"agents"},{"id":"2504.19276","title":"Anyprefer: An Agentic Framework for Preference Data Synthesis","created":"2025-04-27","cited_by_count":10,"area":"agents"},{"id":"2402.03628","title":"Professional Agents -- Evolving Large Language Models into Autonomous Experts with Human-Level Competencies","created":"2024-02-06","cited_by_count":9,"area":"agents"},{"id":"2510.16720","title":"Beyond Pipelines: A Survey of the Paradigm Shift toward Model-Native Agentic AI","created":"2025-10-19","cited_by_count":8,"area":"agents"},{"id":"2511.22254","title":"Co-Evolving Agents: Learning from Failures as Hard Negatives","created":"2025-11-27","cited_by_count":8,"area":"agents"},{"id":"2607.05382","title":"Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation","created":"2026-07-06","cited_by_count":8,"area":"agents"},{"id":"2411.13904","title":"Towards Full Delegation: Designing Ideal Agentic Behaviors for Travel Planning","created":"2024-11-21","cited_by_count":7,"area":"agents"},{"id":"2510.14008","title":"Stop Reducing Responsibility in LLM-Powered Multi-Agent Systems to Local Alignment","created":"2025-10-15","cited_by_count":7,"area":"agents"},{"id":"2605.08703","title":"RewardHarness: Self-Evolving Agentic Post-Training","created":"2026-05-09","cited_by_count":5,"area":"agents"},{"id":"2408.13378","title":"DrugAgent: Reliable Multi-Agent Integration of Conflicting Biomedical Evidence for Drug-Target Interaction Assessment","created":"2024-08-23","cited_by_count":4,"area":"agents"},{"id":"2509.23694","title":"SafeSearch: Automated Red-Teaming of LLM-Based Search Agents","created":"2025-09-28","cited_by_count":4,"area":"agents"},{"id":"2602.22124","title":"SWE-Prot\\'eg\\'e: Learning to Selectively Collaborate With an Expert Unlocks Small Language Models as Software Engineering Agents","created":"2026-02-25","cited_by_count":4,"area":"agents"},{"id":"2605.06642","title":"StraTA: Incentivizing Agentic Reinforcement Learning with Strategic Trajectory Abstraction","created":"2026-05-07","cited_by_count":4,"area":"agents"},{"id":"2605.28814","title":"Self-Improving Language Models with Bidirectional Evolutionary Search","created":"2026-05-27","cited_by_count":4,"area":"agents"},{"id":"2607.10601","title":"Agentic-DPO: From Imitation to Agentic Policy Optimization on Expert Trajectories","created":"2026-07-12","cited_by_count":4,"area":"agents"},{"id":"2510.13709","title":"Training LLM Agents to Empower Humans","created":"2025-10-15","cited_by_count":3,"area":"agents"},{"id":"2604.16335","title":"Beyond Verifiable Rewards: Rubric-Based GRM for Reinforced Fine-Tuning SWE Agents","created":"2026-03-13","cited_by_count":3,"area":"agents"},{"id":"2604.16723","title":"Debate as Reward: A Multi-Agent Reward System for Scientific Ideation via RL Post-Training","created":"2026-04-17","cited_by_count":3,"area":"agents"},{"id":"2606.27492","title":"QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems","created":"2026-06-25","cited_by_count":3,"area":"agents"},{"id":"2606.29719","title":"A Diagnostic Framework and Multi-Evaluator Audit of Evaluator-Driven Preference Dynamics in Self-Adapting LLM Agents","created":"2026-06-29","cited_by_count":3,"area":"agents"},{"id":"2402.11792","title":"SInViG: A Self-Evolving Interactive Visual Agent for Human-Robot Interaction","created":"2024-02-19","cited_by_count":2,"area":"agents"},{"id":"2510.22462","title":"Learning \"Partner-Aware\" Collaborators in Multi-Party Collaboration","created":"2025-10-26","cited_by_count":2,"area":"agents"},{"id":"2601.11658","title":"Towards AGI A Pragmatic Approach Towards Self Evolving Agent","created":"2026-01-15","cited_by_count":2,"area":"agents"},{"id":"2604.09791","title":"Pioneer Agent: Continual Improvement of Small Language Models in Production","created":"2026-04-10","cited_by_count":2,"area":"agents"},{"id":"2606.01091","title":"Deep Research as Rubric for Reinforcement Learning","created":"2026-05-31","cited_by_count":2,"area":"agents"},{"id":"2606.20493","title":"Contagion Networks: Evaluator Preference Propagation in Multi-Agent LLM Systems","created":"2026-06-18","cited_by_count":2,"area":"agents"},{"id":"2606.28182","title":"LLawCo: Learning Laws of Cooperation for Modeling Embodied Multi-Agent Behavior","created":"2026-06-26","cited_by_count":2,"area":"agents"},{"id":"2608.16211","title":"BaT: Towards Self-Evolving Medical Research Agent with Stage Rubrics","created":"2026-08-17","cited_by_count":2,"area":"agents"},{"id":"2607.21596","title":"FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills","created":"2026-04-18","cited_by_count":1,"area":"agents"},{"id":"2608.13564","title":"Inducing Reward-Free Judging Rubrics that Reduce Over-Crediting in Agent Evaluation","created":"2026-06-25","cited_by_count":1,"area":"agents"},{"id":"2609.02889","title":"Where Does Harness-Optimization Value Live? Localized Gains and the Budget-Splitting Trap in Self-Evolving LLM Agents","created":"2026-06-25","cited_by_count":1,"area":"agents"},{"id":"2511.11788","title":"MALBO: Optimizing LLM-Based Multi-Agent Teams via Multi-Objective Bayesian Optimization","created":"2025-11-14","cited_by_count":0,"area":"agents"},{"id":"2605.07011","title":"Dual-Agent Co-Training for Health Coaching via Implicit Adversarial Preference Optimization","created":"2026-05-07","cited_by_count":0,"area":"agents"},{"id":"2606.16682","title":"Multimodal Evaluator Preference Collapse: Cross-Modal Coupling in Self-Evolving Agents","created":"2026-06-15","cited_by_count":0,"area":"agents"},{"id":"2606.31046","title":"OpenLife: Toward Open-World Artificial Life with Autonomous LLM Agents","created":"2026-06-30","cited_by_count":0,"area":"agents"},{"id":"2609.29144","title":"Scope Before You Persist: Preventing Cross-Family Interference in Agent Memory","created":"2026-09-24","cited_by_count":0,"area":"agents"},{"id":"2609.33717","title":"Self-Designed Evaluators and Warm Memory for Long-Horizon Agents","created":"2026-09-27","cited_by_count":0,"area":"agents"},{"id":"2609.35738","title":"Harness Learning Enables Generalizable Test-Time Adaptation","created":"2026-09-28","cited_by_count":0,"area":"agents"},{"id":"2610.04087","title":"DUET: Co-Evolving Solver and Grader Agents","created":"2026-10-02","cited_by_count":0,"area":"agents"},{"id":"2610.12598","title":"Beyond Binary Verifiable Rewards: Behavioral Self-Rewarding for SWE Agents","created":"2026-10-08","cited_by_count":0,"area":"agents"},{"id":"2610.14224","title":"Harness^2: Recursive Agent Harnessing for an Open World","created":"2026-10-09","cited_by_count":0,"area":"agents"},{"id":"2610.15708","title":"SpecForge: Recursive Self-Improvement for Coding Agents via Behavioral Specifications","created":"2026-10-11","cited_by_count":0,"area":"agents"},{"id":"2610.15964","title":"Small but Mighty: Test Suites as Improvement Signals for Self-Evolving Agents","created":"2026-10-11","cited_by_count":0,"area":"agents"},{"id":"2610.16129","title":"PID-Gated Continual Prompt Adaptation Under Noisy Feedback","created":"2026-10-12","cited_by_count":0,"area":"agents"},{"id":"2610.18355","title":"ABot-ER: Unified Embodied Reasoning through Agentic Data-Model Co-Evolution","created":"2026-10-13","cited_by_count":0,"area":"agents"}],"next_cursor":null}