{"total":47,"rows":[{"id":"2308.03688","title":"AgentBench: Evaluating LLMs as Agents","created":"2023-08-07","cited_by_count":1267,"area":"agents"},{"id":"2207.01206","title":"WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents","created":"2022-07-04","cited_by_count":1251,"area":"agents"},{"id":"2309.02427","title":"Cognitive Architectures for Language Agents","created":"2023-09-05","cited_by_count":429,"area":"agents"},{"id":"2401.13178","title":"AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents","created":"2024-01-24","cited_by_count":339,"area":"agents"},{"id":"2402.19446","title":"ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL","created":"2024-02-29","cited_by_count":228,"area":"agents"},{"id":"2511.20857","title":"Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory","created":"2025-11-25","cited_by_count":136,"area":"agents"},{"id":"2404.02039","title":"A Survey on Large Language Model-Based Game Agents","created":"2024-04-02","cited_by_count":112,"area":"agents"},{"id":"2501.01702","title":"AgentRefine: Enhancing Agent Generalization through Refinement Tuning","created":"2025-01-03","cited_by_count":53,"area":"agents"},{"id":"2312.03815","title":"LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem","created":"2023-12-06","cited_by_count":38,"area":"agents"},{"id":"2510.13220","title":"EvoTest: Evolutionary Test-Time Learning for Self-Improving Agentic Systems","created":"2025-10-15","cited_by_count":37,"area":"agents"},{"id":"2506.06287","title":"Deep Research Bench: Evaluating AI Web Research Agents","created":"2025-05-06","cited_by_count":32,"area":"agents"},{"id":"2502.17543","title":"Training a Generally Curious Agent","created":"2025-02-24","cited_by_count":31,"area":"agents"},{"id":"2505.15182","title":"ReflAct: World-Grounded Decision Making in LLM Agents via Goal-State Reflection","created":"2025-05-21","cited_by_count":31,"area":"agents"},{"id":"2406.08689","title":"Security of AI Agents","created":"2024-06-12","cited_by_count":26,"area":"agents"},{"id":"2312.17653","title":"LARP: Language-Agent Role Play for Open-World Games","created":"2023-12-24","cited_by_count":24,"area":"agents"},{"id":"2402.08995","title":"AgentLens: Visual Analysis for Agent Behaviors in LLM-based Autonomous Systems","created":"2024-02-14","cited_by_count":23,"area":"agents"},{"id":"2504.16855","title":"Monte Carlo Planning with Large Language Model for Text-Based Game Agents","created":"2025-04-23","cited_by_count":22,"area":"agents"},{"id":"2503.21557","title":"debug-gym: A Text-Based Environment for Interactive Debugging","created":"2025-03-27","cited_by_count":19,"area":"agents"},{"id":"2601.18510","title":"Just-In-Time Reinforcement Learning: Continual Learning in LLM Agents Without Gradient Updates","created":"2026-01-26","cited_by_count":19,"area":"agents"},{"id":"2509.17325","title":"Generalizable End-to-End Tool-Use RL with Synthetic CodeGym","created":"2025-09-22","cited_by_count":17,"area":"agents"},{"id":"2505.17616","title":"Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments","created":"2025-05-23","cited_by_count":12,"area":"agents"},{"id":"2605.17637","title":"WebGameBench: Requirement-to-Application Evaluation for Coding Agents via Browser-Native Games","created":"2026-05-17","cited_by_count":12,"area":"agents"},{"id":"2305.05091","title":"Knowledge-enhanced Agents for Interactive Text Games","created":"2023-05-08","cited_by_count":10,"area":"agents"},{"id":"2403.03141","title":"Language Guided Exploration for RL Agents in Text Environments","created":"2024-03-05","cited_by_count":9,"area":"agents"},{"id":"2601.16690","title":"EMemBench: Interactive Benchmarking of Episodic Memory for VLM Agents","created":"2026-01-23","cited_by_count":9,"area":"agents"},{"id":"2603.07106","title":"AutoUE: Automated Generation of 3D Games in Unreal Engine via Multi-Agent Systems","created":"2026-03-07","cited_by_count":9,"area":"agents"},{"id":"2406.05872","title":"STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models","created":"2024-06-09","cited_by_count":8,"area":"agents"},{"id":"2502.12257","title":"InfoQuest: Evaluating Multi-Turn Dialogue Agents for Open-Ended Conversations with Hidden Context","created":"2025-02-17","cited_by_count":8,"area":"agents"},{"id":"2603.07978","title":"OSExpert: Computer-Use Agents Learning Professional Skills via Exploration","created":"2026-03-09","cited_by_count":7,"area":"agents"},{"id":"2606.05885","title":"When Denser Credit Is Not Enough: Evidence-Calibrated Policy Optimization for Long-Horizon LLM Agent Training","created":"2026-06-04","cited_by_count":7,"area":"agents"},{"id":"2405.02749","title":"Sub-goal Distillation: A Method to Improve Small Language Agents","created":"2024-05-04","cited_by_count":6,"area":"agents"},{"id":"2502.20807","title":"Digital Player: Evaluating Large Language Models based Human-like Agent in Games","created":"2025-02-28","cited_by_count":6,"area":"agents"},{"id":"2606.02355","title":"SIRI: Self-Internalizing Reinforcement Learning with Intrinsic Skills for LLM Agent Training","created":"2026-06-01","cited_by_count":6,"area":"agents"},{"id":"2606.09826","title":"OmniGameArena: A Unified UE5 Benchmark for VLM Game Agents with Improvement Dynamics","created":"2026-06-08","cited_by_count":4,"area":"agents"},{"id":"2509.01052","title":"FlashAdventure: A Benchmark for GUI Agents Solving Full Story Arcs in Diverse Adventure Games","created":"2025-09-01","cited_by_count":3,"area":"agents"},{"id":"2601.09503","title":"What Do LLM Agents Know About Their World? Task2Quiz: A Paradigm for Studying Environment Understanding","created":"2026-01-14","cited_by_count":3,"area":"agents"},{"id":"2605.29225","title":"BenchTrace: A Benchmark for Testing Reflection Ability and Controlled Evolution in LLM Agents","created":"2026-05-28","cited_by_count":3,"area":"agents"},{"id":"2409.18538","title":"A Survey on Complex Tasks for Goal-Directed Interactive Agents","created":"2024-09-27","cited_by_count":2,"area":"agents"},{"id":"2411.02223","title":"Positive Experience Reflection for Agents in Interactive Text Environments","created":"2024-11-04","cited_by_count":2,"area":"agents"},{"id":"2510.04195","title":"Constructing coherent spatial memory in LLM agents through graph rectification","created":"2025-10-05","cited_by_count":2,"area":"agents"},{"id":"2604.26733","title":"FutureWorld: A Live Reinforcement Learning Environment for Predictive Agents with Real-World Outcome Rewards","created":"2026-04-29","cited_by_count":2,"area":"agents"},{"id":"2605.21240","title":"APEX: Autonomous Policy Exploration for Self-Evolving LLM Agents","created":"2026-05-20","cited_by_count":2,"area":"agents"},{"id":"2609.35750","title":"KV-streams for Efficient Compaction in Agentic Reinforcement Learning","created":"2026-09-28","cited_by_count":1,"area":"agents"},{"id":"2602.17930","title":"MIRA: Memory-Integrated Reinforcement Learning Agent with Limited LLM Guidance","created":"2026-02-20","cited_by_count":0,"area":"agents"},{"id":"2608.07490","title":"Experience-Sensitive Game Learning: A Behavioral Study of Humans and Language Agents","created":"2026-06-15","cited_by_count":0,"area":"agents"},{"id":"2609.22120","title":"Success Leaves Detours: Learning Executable Walkthroughs for Long-Horizon Agents","created":"2026-08-20","cited_by_count":0,"area":"agents"},{"id":"2610.18614","title":"Can an Agent Learn to Predict Its Own Failure? Outcome-Grounded Confidence Calibration in LLM Agents","created":"2026-10-13","cited_by_count":0,"area":"agents"}],"next_cursor":null}