{"total":30,"rows":[{"id":"2307.13854","title":"WebArena: A Realistic Web Environment for Building Autonomous Agents","created":"2023-07-25","cited_by_count":2006,"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":"2503.16416","title":"Survey on Evaluation of LLM-based Agents","created":"2025-03-20","cited_by_count":204,"area":"agents"},{"id":"2310.10701","title":"Theory of Mind for Multi-Agent Collaboration via Large Language Models","created":"2023-10-16","cited_by_count":135,"area":"agents"},{"id":"2503.23037","title":"Agentic Large Language Models, a survey","created":"2025-03-29","cited_by_count":108,"area":"agents"},{"id":"2510.11977","title":"Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation","created":"2025-10-13","cited_by_count":92,"area":"agents"},{"id":"2506.12508","title":"AgentOrchestra: Orchestrating Multi-Agent Intelligence with the Tool-Environment-Agent(TEA) Protocol","created":"2025-06-14","cited_by_count":39,"area":"agents"},{"id":"2605.26684","title":"Beyond Trajectory-Level Attribution: Graph-Based Credit Assignment for Agentic Reinforcement Learning","created":"2026-05-26","cited_by_count":31,"area":"agents"},{"id":"2503.13415","title":"A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives","created":"2025-03-17","cited_by_count":27,"area":"agents"},{"id":"2604.06126","title":"Gym-Anything: Turn any Software into an Agent Environment","created":"2026-04-07","cited_by_count":27,"area":"agents"},{"id":"2601.04786","title":"AgentOCR: Reimagining Agent History via Optical Self-Compression","created":"2026-01-08","cited_by_count":22,"area":"agents"},{"id":"2602.15112","title":"ResearchGym: Evaluating Language Model Agents on Real-World AI Research","created":"2026-02-16","cited_by_count":22,"area":"agents"},{"id":"2509.10397","title":"RecoWorld: Building Simulated Environments for Agentic Recommender Systems","created":"2025-09-12","cited_by_count":19,"area":"agents"},{"id":"2502.18356","title":"WebGames: Challenging General-Purpose Web-Browsing AI Agents","created":"2025-02-25","cited_by_count":12,"area":"agents"},{"id":"2505.01563","title":"TutorGym: A Testbed for Evaluating AI Agents as Tutors and Students","created":"2025-05-02","cited_by_count":10,"area":"agents"},{"id":"2507.15003","title":"The Rise of AI Teammates in Software Engineering (SE) 3.0: How Autonomous Coding Agents Are Reshaping Software Engineering","created":"2025-07-20","cited_by_count":9,"area":"agents"},{"id":"2509.25926","title":"Preventing Prompt Injection with Type-Directed Privilege Separation","created":"2025-09-30","cited_by_count":9,"area":"agents"},{"id":"2603.00977","title":"HiMAC: Hierarchical Macro-Micro Learning for Long-Horizon LLM Agents","created":"2026-03-01","cited_by_count":9,"area":"agents"},{"id":"2506.09171","title":"Fact-Augmented Lookahead Planning for LLM Agents","created":"2025-06-10","cited_by_count":8,"area":"agents"},{"id":"2606.12191","title":"Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application","created":"2026-06-10","cited_by_count":8,"area":"agents"},{"id":"2512.23978","title":"Assured autonomy: How operations research powers and orchestrates generative AI systems","created":"2025-12-30","cited_by_count":5,"area":"agents"},{"id":"2603.09022","title":"MEMO: Memory-Augmented Model Context Optimization for Robust Multi-Turn Multi-Agent LLM Games","created":"2026-03-09","cited_by_count":5,"area":"agents"},{"id":"2508.20818","title":"cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending","created":"2025-08-28","cited_by_count":2,"area":"agents"},{"id":"2606.15306","title":"LatentGym: A Testbed For Cross-Task Experiential Learning With Controllable Latent Structure","created":"2026-06-13","cited_by_count":2,"area":"agents"},{"id":"2606.26327","title":"EVOM: Agentic Meta-Evolution of Actor-Critic Architectures for Reinforcement Learning","created":"2026-06-24","cited_by_count":2,"area":"agents"},{"id":"2510.18491","title":"Crucible: Quantifying the Potential of Control Algorithms through LLM Agents","created":"2025-10-21","cited_by_count":1,"area":"agents"},{"id":"2601.21754","title":"Language-based Trial and Error Falls Behind in the Era of Experience","created":"2026-01-29","cited_by_count":1,"area":"agents"},{"id":"2605.08503","title":"NARRA-Gym for Evaluating Interactive Narrative Agents","created":"2026-05-08","cited_by_count":1,"area":"agents"},{"id":"2509.21862","title":"Shachi: A Modular, Controllable Framework for LLM-Based Agent-Based Modeling of Emergent Collective Behavior","created":"2025-09-26","cited_by_count":0,"area":"agents"},{"id":"2510.25850","title":"Debate2Create: Robot Co-design via Multi-Agent LLM Debate","created":"2025-10-29","cited_by_count":0,"area":"agents"}],"next_cursor":null}