{"total":196,"rows":[{"id":"2308.10144","title":"ExpeL: LLM Agents Are Experiential Learners","created":"2023-08-20","cited_by_count":876,"area":"agents"},{"id":"2310.04406","title":"Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models","created":"2023-10-06","cited_by_count":574,"area":"lr"},{"id":"2409.07429","title":"Agent Workflow Memory","created":"2024-09-11","cited_by_count":383,"area":"agents"},{"id":"2307.12856","title":"A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis","created":"2023-07-24","cited_by_count":353,"area":null},{"id":"2306.13304","title":"ToolQA: A Dataset for LLM Question Answering with External Tools","created":"2023-06-23","cited_by_count":274,"area":"agents"},{"id":"2312.11970","title":"Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives","created":"2023-12-19","cited_by_count":257,"area":"agents"},{"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":"2503.09572","title":"Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks","created":"2025-03-12","cited_by_count":195,"area":"agents"},{"id":"2306.07863","title":"Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control","created":"2023-06-13","cited_by_count":187,"area":null},{"id":"2309.15402","title":"Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future","created":"2023-09-27","cited_by_count":184,"area":"lr"},{"id":"2311.05997","title":"JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models","created":"2023-11-10","cited_by_count":171,"area":"agents"},{"id":"2401.05507","title":"InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks","created":"2024-01-10","cited_by_count":140,"area":"agents"},{"id":"2401.12954","title":"Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding","created":"2024-01-23","cited_by_count":117,"area":null},{"id":"2406.11317","title":"GUICourse: From General Vision Language Models to Versatile GUI Agents","created":"2024-06-17","cited_by_count":114,"area":"mllm"},{"id":"2410.13825","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","created":"2024-10-17","cited_by_count":114,"area":"agents"},{"id":"2402.12275","title":"WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment","created":"2024-02-19","cited_by_count":107,"area":"wm"},{"id":"2408.15978","title":"WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration","created":"2024-08-28","cited_by_count":101,"area":"agents"},{"id":"2406.05761","title":"The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models","created":"2024-06-09","cited_by_count":93,"area":null},{"id":"2408.00764","title":"AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation","created":"2024-08-01","cited_by_count":83,"area":"lr"},{"id":"2502.11221","title":"PlanGenLLMs: A Modern Survey of LLM Planning Capabilities","created":"2025-02-16","cited_by_count":83,"area":null},{"id":"2403.12482","title":"Embodied LLM Agents Learn to Cooperate in Organized Teams","created":"2024-03-19","cited_by_count":82,"area":"agents"},{"id":"2401.07128","title":"EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records","created":"2024-01-13","cited_by_count":78,"area":"lr"},{"id":"2403.08978","title":"AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents","created":"2024-03-13","cited_by_count":74,"area":"agents"},{"id":"2406.05804","title":"A Review of Prominent Paradigms for LLM-Based Agents: Tool Use (Including RAG), Planning, and Feedback Learning","created":"2024-06-09","cited_by_count":74,"area":"agents"},{"id":"2509.08755","title":"AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning","created":"2025-09-10","cited_by_count":72,"area":"agents"},{"id":"2405.14205","title":"Agent Planning with World Knowledge Model","created":"2024-05-23","cited_by_count":70,"area":"wm"},{"id":"2309.08172","title":"LASER: LLM Agent with State-Space Exploration for Web Navigation","created":"2023-09-15","cited_by_count":66,"area":"agents"},{"id":"2310.03720","title":"SteP: Stacked LLM Policies for Web Actions","created":"2023-10-05","cited_by_count":66,"area":null},{"id":"2403.11322","title":"StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows","created":"2024-03-17","cited_by_count":65,"area":null},{"id":"2311.16468","title":"AvatarGPT: All-in-One Framework for Motion Understanding, Planning, Generation and Beyond","created":"2023-11-28","cited_by_count":63,"area":null},{"id":"2403.03101","title":"KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents","created":"2024-03-05","cited_by_count":61,"area":"agents"},{"id":"2405.16247","title":"AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning","created":"2024-05-25","cited_by_count":61,"area":"agents"},{"id":"2406.02888","title":"HYDRA: Model Factorization Framework for Black-Box LLM Personalization","created":"2024-06-05","cited_by_count":60,"area":null},{"id":"2410.02907","title":"NNetNav: Unsupervised Learning of Browser Agents Through Environment Interaction in the Wild","created":"2024-10-03","cited_by_count":59,"area":"agents"},{"id":"2503.22458","title":"Evaluating LLM-based Agents for Multi-Turn Conversations: A Survey","created":"2025-03-28","cited_by_count":57,"area":"agents"},{"id":"2310.08582","title":"Tree-Planner: Efficient Close-loop Task Planning with Large Language Models","created":"2023-10-12","cited_by_count":48,"area":"lr"},{"id":"2309.17382","title":"Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency","created":"2023-09-29","cited_by_count":46,"area":"wm"},{"id":"2402.15057","title":"On the Multi-turn Instruction Following for Conversational Web Agents","created":"2024-02-23","cited_by_count":43,"area":"agents"},{"id":"2401.02500","title":"On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)","created":"2024-01-04","cited_by_count":40,"area":null},{"id":"2505.19683","title":"Large Language Models for Planning: A Comprehensive and Systematic Survey","created":"2025-05-26","cited_by_count":40,"area":"lr"},{"id":"2405.19425","title":"Adaptive In-conversation Team Building for Language Model Agents","created":"2024-05-29","cited_by_count":39,"area":"agents"},{"id":"2403.11085","title":"m&m's: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks","created":"2024-03-17","cited_by_count":38,"area":null},{"id":"2602.04837","title":"Group-Evolving Agents: Open-Ended Self-Improvement via Experience Sharing","created":"2026-02-04","cited_by_count":36,"area":"synth"},{"id":"2403.08140","title":"BAGEL: Bootstrapping Agents by Guiding Exploration with Language","created":"2024-03-12","cited_by_count":34,"area":"agents"},{"id":"2406.03807","title":"Tool-Planner: Task Planning with Clusters across Multiple Tools","created":"2024-06-06","cited_by_count":33,"area":"lr"},{"id":"2309.14365","title":"An In-depth Survey of Large Language Model-based Artificial Intelligence Agents","created":"2023-09-23","cited_by_count":31,"area":"agents"},{"id":"2510.23587","title":"A Survey of Data Agents: Emerging Paradigm or Overstated Hype?","created":"2025-10-27","cited_by_count":30,"area":"agents"},{"id":"2406.00936","title":"A Survey of Useful LLM Evaluation","created":"2024-06-03","cited_by_count":29,"area":null},{"id":"2410.04047","title":"TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis","created":"2024-10-05","cited_by_count":29,"area":"lr"},{"id":"2505.00753","title":"LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey","created":"2025-05-01","cited_by_count":29,"area":"agents"},{"id":"2310.08740","title":"A Zero-Shot Language Agent for Computer Control with Structured Reflection","created":"2023-10-12","cited_by_count":28,"area":"agents"},{"id":"2401.13996","title":"Investigate-Consolidate-Exploit: A General Strategy for Inter-Task Agent Self-Evolution","created":"2024-01-25","cited_by_count":28,"area":"agents"},{"id":"2508.11126","title":"AI Agentic Programming: A Survey of Techniques, Challenges, and Opportunities","created":"2025-08-15","cited_by_count":28,"area":"agents"},{"id":"2506.04614","title":"Look Before You Leap: A GUI-Critic-R1 Model for Pre-Operative Error Diagnosis in GUI Automation","created":"2025-06-05","cited_by_count":27,"area":"lr"},{"id":"2404.09127","title":"Confidence Calibration and Rationalization for LLMs via Multi-Agent Deliberation","created":"2024-04-14","cited_by_count":26,"area":"agents"},{"id":"2410.07484","title":"WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents","created":"2024-10-09","cited_by_count":26,"area":"wm"},{"id":"2503.10480","title":"World Modeling Makes a Better Planner: Dual Preference Optimization for Embodied Task Planning","created":"2025-03-13","cited_by_count":26,"area":"wm"},{"id":"2604.17870","title":"GraSP: Graph-Structured Skill Compositions for LLM Agents","created":"2026-04-20","cited_by_count":26,"area":"agents"},{"id":"2604.11978","title":"The Long-Horizon Task Mirage? Diagnosing Where and Why Agentic Systems Break","created":"2026-04-13","cited_by_count":25,"area":"agents"},{"id":"2311.18751","title":"Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the Web","created":"2023-11-30","cited_by_count":24,"area":"agents"},{"id":"2312.07622","title":"Mathematical Language Models: A Survey","created":"2023-12-12","cited_by_count":24,"area":null},{"id":"2411.05383","title":"Towards Low-Resource Harmful Meme Detection with LMM Agents","created":"2024-11-08","cited_by_count":24,"area":null},{"id":"2509.20021","title":"Embodied AI: From LLMs to World Models","created":"2025-09-24","cited_by_count":24,"area":"wm"},{"id":"2603.04900","title":"EvoTool: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware Selection","created":"2026-03-05","cited_by_count":24,"area":"agents"},{"id":"2410.02810","title":"StateAct: Enhancing LLM Base Agents via Self-prompting and State-tracking","created":"2024-09-21","cited_by_count":23,"area":"agents"},{"id":"2402.15809","title":"Empowering Large Language Model Agents through Action Learning","created":"2024-02-24","cited_by_count":22,"area":"agents"},{"id":"2404.05902","title":"WILBUR: Adaptive In-Context Learning for Robust and Accurate Web Agents","created":"2024-04-08","cited_by_count":22,"area":"agents"},{"id":"2510.08790","title":"COMPASS: Enhancing Agent Long-Horizon Reasoning with Evolving Context","created":"2025-10-09","cited_by_count":20,"area":"lr"},{"id":"2405.20092","title":"Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation","created":"2024-05-30","cited_by_count":19,"area":null},{"id":"2502.17924","title":"FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models","created":"2025-02-25","cited_by_count":19,"area":"agents"},{"id":"2509.16198","title":"RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation","created":"2025-09-19","cited_by_count":19,"area":null},{"id":"2307.08775","title":"GEAR: Augmenting Language Models with Generalizable and Efficient Tool Resolution","created":"2023-07-17","cited_by_count":17,"area":"agents"},{"id":"2405.16334","title":"Devil's Advocate: Anticipatory Reflection for LLM Agents","created":"2024-05-25","cited_by_count":17,"area":"agents"},{"id":"2502.12435","title":"A Survey on Large Language Models for Automated Planning","created":"2025-02-18","cited_by_count":17,"area":null},{"id":"2402.07140","title":"Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?","created":"2024-02-11","cited_by_count":16,"area":"lr"},{"id":"2505.24878","title":"Open CaptchaWorld: A Comprehensive Web-based Platform for Testing and Benchmarking Multimodal LLM Agents","created":"2025-05-30","cited_by_count":16,"area":"mllm"},{"id":"2608.25593","title":"JIT-Agent: Scaling Harness Intelligence via Just-in-Time Harness Evolution","created":"2026-08-26","cited_by_count":16,"area":"agents"},{"id":"2406.00430","title":"Evaluating Uncertainty-based Failure Detection for Closed-Loop LLM Planners","created":"2024-06-01","cited_by_count":15,"area":null},{"id":"2507.06908","title":"MIND: A Multi-agent Framework for Zero-shot Harmful Meme Detection","created":"2025-07-09","cited_by_count":15,"area":"safety"},{"id":"2510.23564","title":"ReCode: Unify Plan and Action for Universal Granularity Control","created":"2025-10-27","cited_by_count":15,"area":null},{"id":"2503.12651","title":"VeriLA: A Human-Centered Evaluation Framework for Interpretable Verification of LLM Agent Failures","created":"2025-03-16","cited_by_count":14,"area":"agents"},{"id":"2507.02097","title":"The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems","created":"2025-07-02","cited_by_count":14,"area":"agents"},{"id":"2602.22680","title":"Toward Personalized LLM-Powered Agents: Foundations, Evaluation, and Future Directions","created":"2026-02-26","cited_by_count":14,"area":"agents"},{"id":"2402.16181","title":"How Can LLM Guide RL? A Value-Based Approach","created":"2024-02-25","cited_by_count":13,"area":null},{"id":"2601.07348","title":"Controlled Self-Evolution for Algorithmic Code Optimization","created":"2026-01-12","cited_by_count":12,"area":null},{"id":"2512.10371","title":"AgentProg: Empowering Long-Horizon GUI Agents with Program-Guided Context Management","created":"2025-12-11","cited_by_count":11,"area":"agents"},{"id":"2306.10322","title":"CorNav: Autonomous Agent with Self-Corrected Planning for Zero-Shot Vision-and-Language Navigation","created":"2023-06-17","cited_by_count":10,"area":"agents"},{"id":"2309.17176","title":"AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback","created":"2023-09-29","cited_by_count":10,"area":null},{"id":"2504.01963","title":"LLMs Working in Harmony: A Survey on the Technological Aspects of Building Effective LLM-Based Multi Agent Systems","created":"2025-03-13","cited_by_count":10,"area":"agents"},{"id":"2606.06087","title":"LatentSkill: From In-Context Textual Skills to In-Weight Latent Skills for LLM Agents","created":"2026-06-04","cited_by_count":10,"area":"agents"},{"id":"2402.02053","title":"Affordable Generative Agents","created":"2024-02-03","cited_by_count":9,"area":"agents"},{"id":"2409.01806","title":"LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planning","created":"2024-09-03","cited_by_count":9,"area":null},{"id":"2409.16686","title":"MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making","created":"2024-09-25","cited_by_count":9,"area":"agents"},{"id":"2410.05656","title":"On the Modeling Capabilities of Large Language Models for Sequential Decision Making","created":"2024-10-08","cited_by_count":9,"area":"alignment"},{"id":"2410.20749","title":"Matryoshka Pilot: Learning to Drive Black-Box LLMs with LLMs","created":"2024-10-28","cited_by_count":9,"area":null},{"id":"2412.07880","title":"Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact","created":"2024-12-10","cited_by_count":9,"area":null},{"id":"2504.03561","title":"SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement","created":"2025-04-04","cited_by_count":9,"area":"agents"},{"id":"2506.21230","title":"World-aware Planning Narratives Enhance Large Vision-Language Model Planner","created":"2025-06-26","cited_by_count":9,"area":"lr"},{"id":"2506.23127","title":"Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning","created":"2025-06-29","cited_by_count":9,"area":null},{"id":"2510.07307","title":"MLE-Smith: Scaling MLE Tasks with Automated Multi-Agent Pipeline","created":"2025-10-08","cited_by_count":9,"area":"agents"}],"next_cursor":"100"}