{"total":142,"rows":[{"id":"2304.11477","title":"LLM+P: Empowering Large Language Models with Optimal Planning Proficiency","created":"2023-04-22","cited_by_count":501,"area":null},{"id":"2303.17491","title":"Language Models can Solve Computer Tasks","created":"2023-03-30","cited_by_count":372,"area":null},{"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":"2307.10169","title":"Challenges and Applications of Large Language Models","created":"2023-07-19","cited_by_count":254,"area":null},{"id":"2304.04370","title":"OpenAGI: When LLM Meets Domain Experts","created":"2023-04-10","cited_by_count":197,"area":null},{"id":"2407.06886","title":"Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI","created":"2024-07-09","cited_by_count":179,"area":null},{"id":"2303.04129","title":"Foundation Models for Decision Making: Problems, Methods, and Opportunities","created":"2023-03-07","cited_by_count":164,"area":null},{"id":"2310.10625","title":"Video Language Planning","created":"2023-10-16","cited_by_count":162,"area":null},{"id":"2305.18703","title":"Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey","created":"2023-05-30","cited_by_count":135,"area":null},{"id":"2306.06624","title":"RestGPT: Connecting Large Language Models with Real-World RESTful APIs","created":"2023-06-11","cited_by_count":135,"area":null},{"id":"2311.07226","title":"Large Language Models for Robotics: A Survey","created":"2023-11-13","cited_by_count":133,"area":null},{"id":"2403.03186","title":"Cradle: Empowering Foundation Agents Towards General Computer Control","created":"2024-03-05","cited_by_count":117,"area":null},{"id":"2310.10196","title":"Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook","created":"2023-10-16","cited_by_count":110,"area":null},{"id":"2403.08321","title":"ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation","created":"2024-03-13","cited_by_count":108,"area":null},{"id":"2310.13227","title":"ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search","created":"2023-10-20","cited_by_count":105,"area":null},{"id":"2306.00937","title":"STEVE-1: A Generative Model for Text-to-Behavior in Minecraft","created":"2023-06-01","cited_by_count":97,"area":null},{"id":"2309.09971","title":"MindAgent: Emergent Gaming Interaction","created":"2023-09-18","cited_by_count":88,"area":null},{"id":"2306.09200","title":"ChessGPT: Bridging Policy Learning and Language Modeling","created":"2023-06-15","cited_by_count":75,"area":null},{"id":"2312.07472","title":"MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active Perception","created":"2023-12-12","cited_by_count":67,"area":null},{"id":"2403.08604","title":"Prompting Large Language Models to Tackle the Full Software Development Lifecycle: A Case Study","created":"2024-03-13","cited_by_count":44,"area":null},{"id":"2312.10908","title":"CLOVA: A Closed-Loop Visual Assistant with Tool Usage and Update","created":"2023-12-18","cited_by_count":43,"area":null},{"id":"2501.09781","title":"VideoWorld: Exploring Knowledge Learning from Unlabeled Videos","created":"2025-01-16","cited_by_count":43,"area":null},{"id":"2306.07075","title":"Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence","created":"2023-06-12","cited_by_count":42,"area":null},{"id":"2310.08235","title":"GROOT: Learning to Follow Instructions by Watching Gameplay Videos","created":"2023-10-12","cited_by_count":42,"area":null},{"id":"2310.07263","title":"CoPAL: Corrective Planning of Robot Actions with Large Language Models","created":"2023-10-11","cited_by_count":40,"area":null},{"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":"2303.16563","title":"Skill Reinforcement Learning and Planning for Open-World Long-Horizon Tasks","created":"2023-03-29","cited_by_count":36,"area":null},{"id":"2312.08566","title":"Learning adaptive planning representations with natural language guidance","created":"2023-12-13","cited_by_count":36,"area":null},{"id":"2401.14151","title":"True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning","created":"2024-01-25","cited_by_count":36,"area":null},{"id":"2406.05720","title":"VillagerAgent: A Graph-Based Multi-Agent Framework for Coordinating Complex Task Dependencies in Minecraft","created":"2024-06-09","cited_by_count":35,"area":null},{"id":"2305.16151","title":"Understanding the Capabilities of Large Language Models for Automated Planning","created":"2023-05-25","cited_by_count":34,"area":null},{"id":"2310.08367","title":"MCU: An Evaluation Framework for Open-Ended Game Agents","created":"2023-10-12","cited_by_count":34,"area":null},{"id":"2304.09349","title":"LLM as A Robotic Brain: Unifying Egocentric Memory and Control","created":"2023-04-19","cited_by_count":33,"area":null},{"id":"2401.12975","title":"HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments","created":"2024-01-23","cited_by_count":32,"area":null},{"id":"2402.19299","title":"RL-GPT: Integrating Reinforcement Learning and Code-as-policy","created":"2024-02-29","cited_by_count":32,"area":null},{"id":"2405.10313","title":"How Far Are We From AGI: Are LLMs All We Need?","created":"2024-05-16","cited_by_count":31,"area":null},{"id":"2406.00936","title":"A Survey of Useful LLM Evaluation","created":"2024-06-03","cited_by_count":29,"area":null},{"id":"2505.20510","title":"CPathAgent: An Agent-based Foundation Model for Interpretable High-Resolution Pathology Image Analysis Mimicking Pathologists' Diagnostic Logic","created":"2025-05-26","cited_by_count":29,"area":null},{"id":"2407.13237","title":"LLM-Empowered State Representation for Reinforcement Learning","created":"2024-07-18","cited_by_count":28,"area":null},{"id":"2405.19946","title":"Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf","created":"2024-05-30","cited_by_count":24,"area":null},{"id":"2409.12889","title":"Can VLMs Play Action Role-Playing Games? Take Black Myth Wukong as a Study Case","created":"2024-09-19","cited_by_count":24,"area":null},{"id":"2501.00358","title":"Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding","created":"2024-12-31","cited_by_count":24,"area":null},{"id":"2503.13502","title":"Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey","created":"2025-03-12","cited_by_count":24,"area":null},{"id":"2404.09554","title":"Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda","created":"2024-04-15","cited_by_count":22,"area":null},{"id":"2510.07777","title":"Drift No More? Context Equilibria in Multi-Turn LLM Interactions","created":"2025-10-09","cited_by_count":22,"area":null},{"id":"2310.08922","title":"LLaMA Rider: Spurring Large Language Models to Explore the Open World","created":"2023-10-13","cited_by_count":21,"area":null},{"id":"2412.05255","title":"TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft","created":"2024-12-06","cited_by_count":21,"area":null},{"id":"2405.11724","title":"Token-wise Influential Training Data Retrieval for Large Language Models","created":"2024-05-20","cited_by_count":20,"area":null},{"id":"2405.13042","title":"StoryVerse: Towards Co-authoring Dynamic Plot with LLM-based Character Simulation via Narrative Planning","created":"2024-05-17","cited_by_count":20,"area":null},{"id":"2502.17898","title":"VeriPlan: Integrating Formal Verification and LLMs into End-User Planning","created":"2025-02-25","cited_by_count":20,"area":null},{"id":"2308.12086","title":"Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments","created":"2023-08-23","cited_by_count":18,"area":null},{"id":"2309.08138","title":"Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven Navigation","created":"2023-09-15","cited_by_count":18,"area":null},{"id":"2306.09312","title":"Semantic HELM: A Human-Readable Memory for Reinforcement Learning","created":"2023-06-15","cited_by_count":17,"area":null},{"id":"2404.11027","title":"Empowering Large Language Models on Robotic Manipulation with Affordance Prompting","created":"2024-04-17","cited_by_count":17,"area":null},{"id":"2308.03028","title":"Pre-Trained Large Language Models for Industrial Control","created":"2023-08-06","cited_by_count":16,"area":null},{"id":"2504.14588","title":"Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction","created":"2025-04-20","cited_by_count":16,"area":null},{"id":"2605.13527","title":"MMSkills: Towards Multimodal Skills for General Visual Agents","created":"2026-05-13","cited_by_count":16,"area":null},{"id":"2311.07387","title":"Assessing Logical Puzzle Solving in Large Language Models: Insights from a Minesweeper Case Study","created":"2023-11-13","cited_by_count":15,"area":null},{"id":"2311.17406","title":"LLM-State: Open World State Representation for Long-horizon Task Planning with Large Language Model","created":"2023-11-29","cited_by_count":15,"area":null},{"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":"2306.01242","title":"Responsible Task Automation: Empowering Large Language Models as Responsible Task Automators","created":"2023-06-02","cited_by_count":14,"area":null},{"id":"2305.15064","title":"AutoPlan: Automatic Planning of Interactive Decision-Making Tasks With Large Language Models","created":"2023-05-24","cited_by_count":13,"area":null},{"id":"2402.16181","title":"How Can LLM Guide RL? A Value-Based Approach","created":"2024-02-25","cited_by_count":13,"area":null},{"id":"2404.01602","title":"Helmsman of the Masses? Evaluate the Opinion Leadership of Large Language Models in the Werewolf Game","created":"2024-04-02","cited_by_count":13,"area":null},{"id":"2503.17359","title":"Position: Interactive Generative Video as Next-Generation Game Engine","created":"2025-03-21","cited_by_count":13,"area":null},{"id":"2508.14893","title":"Virtual Community: An Open World for Humans, Robots, and Society","created":"2025-08-20","cited_by_count":13,"area":null},{"id":"2305.15695","title":"Asking Before Acting: Gather Information in Embodied Decision Making with Language Models","created":"2023-05-25","cited_by_count":12,"area":null},{"id":"2411.18983","title":"SPAgent: Adaptive Task Decomposition and Model Selection for General Video Generation and Editing","created":"2024-11-28","cited_by_count":11,"area":null},{"id":"2504.21432","title":"UAV-VLN: End-to-End Vision Language guided Navigation for UAVs","created":"2025-04-30","cited_by_count":11,"area":null},{"id":"2505.14172","title":"The Strawberry Problem: Emergence of Character-level Understanding in Tokenized Language Models","created":"2025-05-20","cited_by_count":11,"area":null},{"id":"2309.17176","title":"AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback","created":"2023-09-29","cited_by_count":10,"area":null},{"id":"2310.08549","title":"Cross-Episodic Curriculum for Transformer Agents","created":"2023-10-12","cited_by_count":10,"area":null},{"id":"2405.17424","title":"LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence","created":"2024-05-27","cited_by_count":10,"area":null},{"id":"2412.19139","title":"PlanLLM: Video Procedure Planning with Refinable Large Language Models","created":"2024-12-26","cited_by_count":10,"area":null},{"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":"2508.05995","title":"Optimizing Prompt Sequences using Monte Carlo Tree Search for LLM-Based Optimization","created":"2025-08-08","cited_by_count":9,"area":null},{"id":"2308.05295","title":"Multimodal Pretrained Models for Verifiable Sequential Decision-Making: Planning, Grounding, and Perception","created":"2023-08-10","cited_by_count":8,"area":null},{"id":"2311.02018","title":"Active Reasoning in an Open-World Environment","created":"2023-11-03","cited_by_count":8,"area":null},{"id":"2407.09502","title":"From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models","created":"2024-06-14","cited_by_count":8,"area":null},{"id":"2310.05035","title":"Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection","created":"2023-10-08","cited_by_count":7,"area":null},{"id":"2406.12000","title":"Look Further Ahead: Testing the Limits of GPT-4 in Path Planning","created":"2024-06-17","cited_by_count":7,"area":null},{"id":"2409.12798","title":"Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL","created":"2024-09-19","cited_by_count":7,"area":null},{"id":"2412.05718","title":"RLZero: Direct Policy Inference from Language Without In-Domain Supervision","created":"2024-12-07","cited_by_count":7,"area":null},{"id":"2503.17309","title":"LLM+MAP: Bimanual Robot Task Planning using Large Language Models and Planning Domain Definition Language","created":"2025-03-21","cited_by_count":7,"area":null},{"id":"2504.13351","title":"Chain-of-Modality: Learning Manipulation Programs from Multimodal Human Videos with Vision-Language-Models","created":"2025-04-17","cited_by_count":7,"area":null},{"id":"2404.12045","title":"RAM: Towards an Ever-Improving Memory System by Learning from Communications","created":"2024-04-18","cited_by_count":6,"area":null},{"id":"2407.09486","title":"ENOVA: Autoscaling towards Cost-effective and Stable Serverless LLM Serving","created":"2024-05-17","cited_by_count":6,"area":null},{"id":"2410.08397","title":"VoxelPrompt: A Vision Agent for End-to-End Medical Image Analysis","created":"2024-10-10","cited_by_count":6,"area":null},{"id":"2503.20840","title":"CodeTool: Enhancing Programmatic Tool Invocation of LLMs via Process Supervision","created":"2025-03-26","cited_by_count":6,"area":null},{"id":"2508.07932","title":"\\(X\\)-evolve: Solution space evolution powered by large language models","created":"2025-08-11","cited_by_count":6,"area":null},{"id":"2606.14502","title":"From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI","created":"2026-06-12","cited_by_count":6,"area":null},{"id":"2402.12267","title":"High-quality Data-to-Text Generation for Severely Under-Resourced Languages with Out-of-the-box Large Language Models","created":"2024-02-19","cited_by_count":5,"area":null},{"id":"2411.07965","title":"SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing LLMs","created":"2024-11-12","cited_by_count":5,"area":null},{"id":"2505.14656","title":"Cost-Awareness in Tree-Search LLM Planning: A Systematic Study","created":"2025-05-20","cited_by_count":5,"area":null},{"id":"2607.01224","title":"AutoMem: Automated Learning of Memory as a Cognitive Skill","created":"2026-07-01","cited_by_count":5,"area":null},{"id":"2310.14403","title":"O3D: Offline Data-driven Discovery and Distillation for Sequential Decision-Making with Large Language Models","created":"2023-10-22","cited_by_count":4,"area":null},{"id":"2312.16127","title":"LLM-SAP: Large Language Models Situational Awareness Based Planning","created":"2023-12-26","cited_by_count":4,"area":null},{"id":"2401.03546","title":"NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds","created":"2024-01-07","cited_by_count":4,"area":null},{"id":"2404.07084","title":"Dynamic Generation of Personalities with Large Language Models","created":"2024-04-10","cited_by_count":4,"area":null},{"id":"2406.02903","title":"Open Grounded Planning: Challenges and Benchmark Construction","created":"2024-06-05","cited_by_count":4,"area":null}],"next_cursor":"100"}