{"total":40,"rows":[{"id":"2507.21504","title":"Evaluation and Benchmarking of LLM Agents: A Survey","created":"2025-07-29","cited_by_count":152,"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":"2410.16464","title":"Beyond Browsing: API-Based Web Agents","created":"2024-10-21","cited_by_count":78,"area":"agents"},{"id":"2506.06698","title":"Contextual Experience Replay for Self-Improvement of Language Agents","created":"2025-06-07","cited_by_count":48,"area":"agents"},{"id":"2411.15004","title":"ScribeAgent: Towards Specialized Web Agents Using Production-Scale Workflow Data","created":"2024-11-22","cited_by_count":39,"area":"agents"},{"id":"2503.02682","title":"MPO: Boosting LLM Agents with Meta Plan Optimization","created":"2025-03-04","cited_by_count":36,"area":"agents"},{"id":"2508.17281","title":"From Language to Action: A Review of Large Language Models as Autonomous Agents and Tool Users","created":"2025-08-24","cited_by_count":32,"area":"agents"},{"id":"2505.00234","title":"Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks","created":"2025-05-01","cited_by_count":19,"area":"agents"},{"id":"2605.07358","title":"A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications","created":"2026-05-08","cited_by_count":18,"area":"agents"},{"id":"2606.03056","title":"SkillDAG: Self-Evolving Typed Skill Graphs for LLM Skill Selection at Scale","created":"2026-06-02","cited_by_count":16,"area":"agents"},{"id":"2603.24639","title":"Experiential Reflective Learning for Self-Improving LLM Agents","created":"2026-03-25","cited_by_count":13,"area":"agents"},{"id":"2605.10923","title":"Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning","created":"2026-05-11","cited_by_count":12,"area":"agents"},{"id":"2608.24876","title":"Recursive Experiential-Working Memory Evolution for Long-Horizon Agent Harnesses","created":"2026-08-25","cited_by_count":9,"area":"agents"},{"id":"2509.12810","title":"H$^2$R: Hierarchical Hindsight Reflection for Multi-Task LLM Agents","created":"2025-09-16","cited_by_count":8,"area":"agents"},{"id":"2506.09656","title":"Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectives","created":"2025-06-11","cited_by_count":5,"area":"agents"},{"id":"2510.04373","title":"JEF-Hinter: Leveraging Offline Knowledge for Improving Web Agents Adaptation","created":"2025-10-05","cited_by_count":5,"area":"agents"},{"id":"2601.22436","title":"Large Language Model Agents Are Not Always Faithful Self-Evolvers","created":"2026-01-30","cited_by_count":5,"area":"agents"},{"id":"2607.26784","title":"SkillRise: Agentic Reinforcement Learning for Cross-Task Skill Evolution","created":"2026-07-29","cited_by_count":5,"area":"agents"},{"id":"2502.12494","title":"EDGE: Efficient Data Selection for LLM Agents via Guideline Effectiveness","created":"2025-02-18","cited_by_count":4,"area":"agents"},{"id":"2505.03973","title":"Divide, Optimize, Merge: Fine-Grained LLM Agent Optimization at Scale","created":"2025-05-06","cited_by_count":3,"area":"agents"},{"id":"2606.06960","title":"FinEvolveBench: A Benchmark for Self-Evolving Agents on Low-Repetition Tasks with Implicit Rewards","created":"2026-06-05","cited_by_count":3,"area":"agents"},{"id":"2512.02543","title":"Inference-Time Distillation: Cost-Efficient Agents Without Fine-Tuning or Manual Prompt Engineering","created":"2025-12-02","cited_by_count":2,"area":"agents"},{"id":"2608.02508","title":"RoMeRL: Balancing Feedback Coverage and the Memory-Reward Trap in Self-Evolving Agent Memory via Reduced-Order Utility States","created":"2026-08-03","cited_by_count":2,"area":"agents"},{"id":"2609.18304","title":"Rollback the World, Keep the Reflection: Rollback-Induced Reflection for Long-Horizon LLM Agents","created":"2026-09-16","cited_by_count":2,"area":"agents"},{"id":"2411.08432","title":"One STEP at a time: Language Agents are Stepwise Planners","created":"2024-11-13","cited_by_count":1,"area":"agents"},{"id":"2509.21799","title":"D-Artemis: A Deliberative Cognitive Framework for Mobile GUI Multi-Agents","created":"2025-09-26","cited_by_count":1,"area":"agents"},{"id":"2510.02369","title":"AutoContext: Instance-Level Context Learning for LLM Agents","created":"2025-09-29","cited_by_count":1,"area":"agents"},{"id":"2601.08158","title":"WISE-Flow: Workflow-Induced Structured Experience for Self-Evolving Conversational Service Agents","created":"2026-01-13","cited_by_count":1,"area":"agents"},{"id":"2605.16233","title":"FORGE: Self-Evolving Agent Memory With No Weight Updates via Population Broadcast","created":"2026-05-15","cited_by_count":1,"area":"agents"},{"id":"2606.02304","title":"Unified Context Evolution for LLM Agents","created":"2026-06-01","cited_by_count":1,"area":"agents"},{"id":"2607.29658","title":"Reusing Past Repairs Through Hierarchical Trajectory Abstraction for Coding Agents","created":"2026-07-31","cited_by_count":1,"area":"agents"},{"id":"2609.09153","title":"Procedural Graphs: Self-Evolving Execution Structures for LLM Agents","created":"2026-09-08","cited_by_count":1,"area":"agents"},{"id":"2606.27136","title":"Joint Learning of Experiential Rules and Policies for Large Language Model Agents","created":"2026-06-25","cited_by_count":0,"area":"agents"},{"id":"2609.15381","title":"Translator vs. Challenger: Adversarial Agentic Learning for C-to-Rust Translation","created":"2026-09-14","cited_by_count":0,"area":"agents"},{"id":"2609.34974","title":"Before Acting, Change the State: Prospective State Intervention for Web Agents under Deceptive Interfaces","created":"2026-09-28","cited_by_count":0,"area":"agents"},{"id":"2609.36630","title":"Distilling Agentic Systems: A Roadmap across Models, Artifacts, and Harnesses","created":"2026-09-29","cited_by_count":0,"area":"agents"},{"id":"2609.38778","title":"Action Conditioned Bisimulation For GUI Agent Memory","created":"2026-09-30","cited_by_count":0,"area":"agents"},{"id":"2610.06964","title":"Principles that Guide, Actions that Inform: Agent Evolution via Knowledge Abstraction","created":"2026-10-03","cited_by_count":0,"area":"agents"},{"id":"2610.12651","title":"SynAct: Synergistic Active Feedback Learning for LLM Agents","created":"2026-10-08","cited_by_count":0,"area":"agents"},{"id":"2610.18807","title":"SkillScaffold: Scaffolding Agentic Reinforcement Learning with Policy-Adaptive Skill Credit Assignment and Selective Injection","created":"2026-10-13","cited_by_count":0,"area":"agents"}],"next_cursor":null}