{"total":72,"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":"2308.08155","title":"AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation","created":"2023-08-16","cited_by_count":1988,"area":"agents"},{"id":"2201.07207","title":"Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents","created":"2022-01-18","cited_by_count":1035,"area":"agents"},{"id":"2309.15817","title":"Identifying the Risks of LM Agents with an LM-Emulated Sandbox","created":"2023-09-25","cited_by_count":548,"area":"agents"},{"id":"2212.04088","title":"LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models","created":"2022-12-08","cited_by_count":462,"area":"agents"},{"id":"2304.08354","title":"Tool Learning with Foundation Models","created":"2023-04-17","cited_by_count":302,"area":"agents"},{"id":"2305.11554","title":"ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings","created":"2023-05-19","cited_by_count":240,"area":"agents"},{"id":"2307.02485","title":"Building Cooperative Embodied Agents Modularly with Large Language Models","created":"2023-07-05","cited_by_count":237,"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":"2501.07278","title":"Lifelong Learning of Large Language Model based Agents: A Roadmap","created":"2025-01-13","cited_by_count":83,"area":"agents"},{"id":"2403.12482","title":"Embodied LLM Agents Learn to Cooperate in Organized Teams","created":"2024-03-19","cited_by_count":82,"area":"agents"},{"id":"2401.05268","title":"AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning","created":"2024-01-10","cited_by_count":81,"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":"2505.20732","title":"SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution","created":"2025-05-27","cited_by_count":73,"area":"agents"},{"id":"2310.06830","title":"Lemur: Harmonizing Natural Language and Code for Language Agents","created":"2023-10-10","cited_by_count":72,"area":"agents"},{"id":"2404.09992","title":"MMInA: Benchmarking Multihop Multimodal Internet Agents","created":"2024-04-15","cited_by_count":55,"area":"agents"},{"id":"2504.16129","title":"MARFT: Multi-Agent Reinforcement Fine-Tuning","created":"2025-04-21","cited_by_count":52,"area":"agents"},{"id":"2402.08178","title":"LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents","created":"2024-02-13","cited_by_count":51,"area":"agents"},{"id":"2408.12574","title":"MuMA-ToM: Multi-modal Multi-Agent Theory of Mind","created":"2024-08-22","cited_by_count":51,"area":"agents"},{"id":"2602.10116","title":"SAGE: Scalable Agentic 3D Scene Generation for Embodied AI","created":"2026-02-10","cited_by_count":50,"area":"agents"},{"id":"2310.13255","title":"Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds","created":"2023-10-20","cited_by_count":45,"area":"agents"},{"id":"2407.10031","title":"LLaMAR: Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments","created":"2024-07-14","cited_by_count":32,"area":"agents"},{"id":"2502.05227","title":"Robotouille: An Asynchronous Planning Benchmark for LLM Agents","created":"2025-02-06","cited_by_count":32,"area":"agents"},{"id":"2408.02882","title":"Compromising Embodied Agents with Contextual Backdoor Attacks","created":"2024-08-06","cited_by_count":31,"area":"agents"},{"id":"2504.14650","title":"A Framework for Benchmarking and Aligning Task-Planning Safety in LLM-Based Embodied Agents","created":"2025-04-20","cited_by_count":30,"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":"2403.19267","title":"MineLand: Simulating Large-Scale Multi-Agent Interactions with Limited Multimodal Senses and Physical Needs","created":"2024-03-28","cited_by_count":18,"area":"agents"},{"id":"2412.21033","title":"Plancraft: an evaluation dataset for planning with LLM agents","created":"2024-12-30","cited_by_count":16,"area":"agents"},{"id":"2509.24282","title":"SimuHome: A Temporal- and Environment-Aware Benchmark for Smart Home LLM Agents","created":"2025-09-29","cited_by_count":15,"area":"agents"},{"id":"2505.17767","title":"Position: The Real Barrier to LLM Agent Usability is Agentic ROI","created":"2025-05-23","cited_by_count":12,"area":"agents"},{"id":"2511.02424","title":"ReAcTree: Hierarchical LLM Agent Trees with Control Flow for Long-Horizon Task Planning","created":"2025-11-04","cited_by_count":12,"area":"agents"},{"id":"2411.09972","title":"Large Language Models as User-Agents for Evaluating Task-Oriented-Dialogue Systems","created":"2024-11-15","cited_by_count":11,"area":"agents"},{"id":"2603.24533","title":"UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experience","created":"2026-03-25","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":"2509.16330","title":"Generalizability of Large Language Model-Based Agents: A Comprehensive Survey","created":"2025-09-19","cited_by_count":10,"area":"agents"},{"id":"2402.02053","title":"Affordable Generative Agents","created":"2024-02-03","cited_by_count":9,"area":"agents"},{"id":"2404.08827","title":"\"Don't forget to put the milk back!\" Dataset for Enabling Embodied Agents to Detect Anomalous Situations","created":"2024-04-12","cited_by_count":9,"area":"agents"},{"id":"2409.03256","title":"E2CL: Exploration-based Error Correction Learning for Embodied Agents","created":"2024-09-05","cited_by_count":9,"area":"agents"},{"id":"2603.18683","title":"HISR: Hindsight Information Modulated Segmental Process Rewards For Multi-turn Agentic Reinforcement Learning","created":"2026-03-19","cited_by_count":8,"area":"agents"},{"id":"2504.14773","title":"PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities","created":"2025-04-21","cited_by_count":7,"area":"agents"},{"id":"2505.10872","title":"REI-Bench: Can Embodied Agents Understand Vague Human Instructions in Task Planning?","created":"2025-05-16","cited_by_count":7,"area":"agents"},{"id":"2507.05178","title":"CREW-WILDFIRE: Benchmarking Agentic Multi-Agent Collaborations at Scale","created":"2025-07-07","cited_by_count":7,"area":"agents"},{"id":"2507.07445","title":"StarDojo: Benchmarking Open-Ended Behaviors of Agentic Multimodal LLMs in Production-Living Simulations with Stardew Valley","created":"2025-07-10","cited_by_count":7,"area":"agents"},{"id":"2606.05622","title":"AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User Constraints","created":"2026-06-04","cited_by_count":7,"area":"agents"},{"id":"2506.15065","title":"HEAL: An Empirical Study on Hallucinations in Embodied Agents Driven by Large Language Models","created":"2025-06-18","cited_by_count":6,"area":"agents"},{"id":"2506.19592","title":"Adaptive Domain Modeling with Language Models: A Multi-Agent Approach to Task Planning","created":"2025-06-24","cited_by_count":6,"area":"agents"},{"id":"2511.21460","title":"MADRA: Multi-Agent Debate for Risk-Aware Embodied Planning","created":"2025-11-26","cited_by_count":6,"area":"agents"},{"id":"2512.19234","title":"DeliveryBench: Can Agents Earn Profit in Real World?","created":"2025-12-22","cited_by_count":6,"area":"agents"},{"id":"2411.12977","title":"MindForge: Empowering Embodied Agents with Theory of Mind for Lifelong Cultural Learning","created":"2024-11-20","cited_by_count":5,"area":"agents"},{"id":"2507.03293","title":"LogicGuard: Improving Embodied LLM agents through Temporal Logic based Critics","created":"2025-07-04","cited_by_count":5,"area":"agents"},{"id":"2511.23055","title":"MindPower: Enabling Theory-of-Mind Reasoning in VLM-based Embodied Agents","created":"2025-11-28","cited_by_count":5,"area":"agents"},{"id":"2410.12004","title":"Toolken+: Improving LLM Tool Usage with Reranking and a Reject Option","created":"2024-10-15","cited_by_count":4,"area":"agents"},{"id":"2505.22503","title":"Communication-Efficient Desire Alignment for Embodied Agent-Human Adaptation","created":"2025-05-28","cited_by_count":4,"area":"agents"},{"id":"2506.11773","title":"AgentSense: Virtual Sensor Data Generation Using LLM Agents in Simulated Home Environments","created":"2025-06-13","cited_by_count":4,"area":"agents"},{"id":"2411.17135","title":"LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble","created":"2024-11-26","cited_by_count":3,"area":"agents"},{"id":"2602.19304","title":"Safe and Interpretable Multimodal Path Planning for Multi-Agent Cooperation","created":"2026-02-22","cited_by_count":3,"area":"agents"},{"id":"2606.10507","title":"HIPIF: Hierarchical Planning and Information Folding for Long-Horizon LLM Agent Learning","created":"2026-06-09","cited_by_count":3,"area":"agents"},{"id":"2311.11955","title":"Multi-Agent Strategy Explanations for Human-Robot Collaboration","created":"2023-11-20","cited_by_count":2,"area":"agents"},{"id":"2502.10148","title":"Closed-Loop Vision-Language Planning for Multi-Agent Coordination","created":"2025-02-14","cited_by_count":2,"area":"agents"},{"id":"2505.09938","title":"Design and Evaluation of Generative Agent-based Platform for Human-Assistant Interaction Research: A Tale of 10 User Studies","created":"2025-05-15","cited_by_count":2,"area":"agents"},{"id":"2604.10383","title":"Authoring for Living Worlds: Tool-Constrained LLM Agents for Executable Multi-Actor Scenarios","created":"2026-04-11","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":"2609.19801","title":"DeliveryGym: An RL Environment for Long-Horizon Embodied Agent Planning with Adaptive Curriculum","created":"2026-09-17","cited_by_count":2,"area":"agents"},{"id":"2506.14248","title":"Re-Initialization Token Learning for Tool-Augmented Large Language Models","created":"2025-06-17","cited_by_count":1,"area":"agents"},{"id":"2509.26536","title":"OceanGym: A Benchmark Environment for Underwater Embodied Agents","created":"2025-09-30","cited_by_count":1,"area":"agents"},{"id":"2601.05215","title":"MineNPC-Task: Task Suite for Memory-Aware Minecraft Agents","created":"2026-01-08","cited_by_count":1,"area":"agents"},{"id":"2604.17252","title":"Seeing Isn't Believing: Mitigating Belief Inertia via Active Intervention in Embodied Agents","created":"2026-04-19","cited_by_count":1,"area":"agents"},{"id":"2506.12331","title":"IndoorWorld: Integrating Physical Task Solving and Social Simulation in A Heterogeneous Multi-Agent Environment","created":"2025-06-14","cited_by_count":0,"area":"agents"},{"id":"2512.24461","title":"Align While Search: Belief-Guided Exploratory Inference for World-Grounded Embodied Agents","created":"2025-12-30","cited_by_count":0,"area":"agents"},{"id":"2605.18727","title":"DexHoldem: Playing Texas Hold'em with Dexterous Embodied System","created":"2026-05-18","cited_by_count":0,"area":"agents"},{"id":"2607.27443","title":"Leveraging Trajectory Graphs for Pre-Execution Error Diagnosis in Agentic LLM Systems","created":"2026-07-29","cited_by_count":0,"area":"agents"},{"id":"2608.16806","title":"Breaking Planner Integrity Boundary: Enviroment State-Text Injection Attack on LLM-Driven Embodied Agents","created":"2026-08-17","cited_by_count":0,"area":"agents"}],"next_cursor":null}