{"total":66,"rows":[{"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":"2306.07863","title":"Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control","created":"2023-06-13","cited_by_count":187,"area":null},{"id":"2401.12954","title":"Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding","created":"2024-01-23","cited_by_count":117,"area":null},{"id":"2406.05761","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":"2502.11221","title":"PlanGenLLMs: A Modern Survey of LLM Planning Capabilities","created":"2025-02-16","cited_by_count":83,"area":null},{"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":"2406.02888","title":"HYDRA: Model Factorization Framework for Black-Box LLM Personalization","created":"2024-06-05","cited_by_count":60,"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":"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":"2406.00936","title":"A Survey of Useful LLM Evaluation","created":"2024-06-03","cited_by_count":29,"area":null},{"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":"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":"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":"2502.12435","title":"A Survey on Large Language Models for Automated Planning","created":"2025-02-18","cited_by_count":17,"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":"2510.23564","title":"ReCode: Unify Plan and Action for Universal Granularity Control","created":"2025-10-27","cited_by_count":15,"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":"2601.07348","title":"Controlled Self-Evolution for Algorithmic Code Optimization","created":"2026-01-12","cited_by_count":12,"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":"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":"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":"2506.23127","title":"Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning","created":"2025-06-29","cited_by_count":9,"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":"2510.01272","title":"Modeling Others' Minds as Code","created":"2025-09-29","cited_by_count":7,"area":null},{"id":"2510.19600","title":"Human-Agent Collaborative Paper-to-Page Crafting","created":"2025-10-22","cited_by_count":7,"area":null},{"id":"2502.10177","title":"STMA: A Spatio-Temporal Memory Agent for Long-Horizon Embodied Task Planning","created":"2025-02-14","cited_by_count":6,"area":null},{"id":"2505.24710","title":"Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting","created":"2025-05-30","cited_by_count":6,"area":null},{"id":"2506.12421","title":"Wide-Horizon Thinking and Simulation-Based Evaluation for Real-World LLM Planning with Multifaceted Constraints","created":"2025-06-14","cited_by_count":6,"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":"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":"2406.06947","title":"CAAP: Context-Aware Action Planning Prompting to Solve Computer Tasks with Front-End UI Only","created":"2024-06-11","cited_by_count":4,"area":null},{"id":"2410.01440","title":"Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling","created":"2024-10-02","cited_by_count":4,"area":null},{"id":"2506.02860","title":"Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs","created":"2025-06-03","cited_by_count":4,"area":null},{"id":"2307.08189","title":"Mini-Giants: \"Small\" Language Models and Open Source Win-Win","created":"2023-07-17","cited_by_count":3,"area":null},{"id":"2501.19318","title":"MINDSTORES: Memory-Informed Neural Decision Synthesis for Task-Oriented Reinforcement in Embodied Systems","created":"2025-01-31","cited_by_count":3,"area":null},{"id":"2504.10030","title":"EmbodiedAgent: A Scalable Hierarchical Approach to Overcome Practical Challenge in Multi-Robot Control","created":"2025-04-14","cited_by_count":3,"area":null},{"id":"2506.00963","title":"From Objectives to Questions: A Planning-based Framework for Educational Mathematical Question Generation","created":"2025-06-01","cited_by_count":3,"area":null},{"id":"2605.18636","title":"SPIKE: An Adaptive Dual Controller Framework for Cost-Efficient Long-Horizon Game Agents","created":"2026-05-18","cited_by_count":3,"area":null},{"id":"2605.21082","title":"AutoRPA: Efficient GUI Automation through LLM-Driven Code Synthesis from Interactions","created":"2026-05-20","cited_by_count":3,"area":null},{"id":"2312.03290","title":"Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym","created":"2023-12-06","cited_by_count":2,"area":null},{"id":"2403.17497","title":"Sharing the Cost of Success: A Game for Evaluating and Learning Collaborative Multi-Agent Instruction Giving and Following Policies","created":"2024-03-26","cited_by_count":2,"area":null},{"id":"2412.06684","title":"Exploring Critical Testing Scenarios for Decision-Making Policies: An LLM Approach","created":"2024-12-09","cited_by_count":2,"area":null},{"id":"2503.12974","title":"Exploring 3D Reasoning-Driven Planning: From Implicit Human Intentions to Route-Aware Activity Planning","created":"2025-03-17","cited_by_count":2,"area":null},{"id":"2607.28638","title":"Learning Stateful Predictive Knowledge From Experience","created":"2026-05-19","cited_by_count":2,"area":null},{"id":"2402.04824","title":"Learning Communication Policies for Different Follower Behaviors in a Collaborative Reference Game","created":"2024-02-07","cited_by_count":1,"area":null},{"id":"2403.00783","title":"On the Roles of LLMs in Planning: Embedding LLMs into Planning Graphs","created":"2024-02-18","cited_by_count":1,"area":null},{"id":"2510.01531","title":"Information Seeking for Robust Decision Making under Partial Observability","created":"2025-10-02","cited_by_count":1,"area":null},{"id":"2605.12755","title":"State-Centric Decision Process","created":"2026-05-12","cited_by_count":1,"area":null},{"id":"2605.21902","title":"Planning in the LLM Era: Building for Reliability and Efficiency","created":"2026-05-21","cited_by_count":1,"area":null},{"id":"2606.03471","title":"A formal definition and meta-model for a machine theory of mind","created":"2026-06-02","cited_by_count":1,"area":null},{"id":"2606.27757","title":"Towards Reliable and Robust LLM Planning: Symbolic Feedback-Driven Iterative Self-Refinement Framework","created":"2026-06-26","cited_by_count":1,"area":null},{"id":"2503.23053","title":"A Training-free LLM Framework with Interaction between Contextually Related Subtasks in Solving Complex Tasks","created":"2025-03-29","cited_by_count":0,"area":null},{"id":"2507.14975","title":"FCRF: Flexible Constructivism Reflection for Long-Horizon Robotic Task Planning with Large Language Models","created":"2025-07-20","cited_by_count":0,"area":null},{"id":"2508.13371","title":"LOOP: A Plug-and-Play Neuro-Symbolic Framework for Enhancing Planning in Autonomous Systems","created":"2025-08-18","cited_by_count":0,"area":null},{"id":"2509.19077","title":"Code Driven Planning with Domain-Adaptive Critic","created":"2025-09-23","cited_by_count":0,"area":null},{"id":"2601.11479","title":"Health Facility Location in Ethiopia: Leveraging LLMs to Integrate Expert Knowledge into Algorithmic Planning","created":"2026-01-16","cited_by_count":0,"area":null},{"id":"2603.00176","title":"Bridging Policy and Real-World Dynamics: LLM-Augmented Rebalancing for Shared Micromobility Systems","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2605.02939","title":"From Static Analysis to Audience Dissemination: A Training-Free Multimodal Controversy Detection Multi-Agent Framework","created":"2026-05-01","cited_by_count":0,"area":null},{"id":"2606.00981","title":"Robust Asynchronous Planning via Auto-Formalization","created":"2026-05-31","cited_by_count":0,"area":null},{"id":"2606.15577","title":"Large Language Models as Optimizers: A Survey of Direct vs. Tool-Augmented Approaches and Their Performance Frontiers","created":"2026-04-09","cited_by_count":0,"area":null},{"id":"2606.20487","title":"OctoNest: Adaptive Cross-Device Execution through Stateful Control","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2609.34268","title":"SAGE: Symbolic Action-Gating and Editing for LLM Task Planners","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}