{"total":19,"rows":[{"id":"2403.03101","title":"KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents","created":"2024-03-05","cited_by_count":61,"area":"agents"},{"id":"2503.19213","title":"A Survey of Large Language Model Agents for Question Answering","created":"2025-03-24","cited_by_count":48,"area":"agents"},{"id":"2503.12434","title":"A Survey on the Optimization of Large Language Model-based Agents","created":"2025-03-16","cited_by_count":46,"area":"agents"},{"id":"2411.01747","title":"DynaSaur: Large Language Agents Beyond Predefined Actions","created":"2024-11-04","cited_by_count":32,"area":"agents"},{"id":"2502.18407","title":"AgentRM: Enhancing Agent Generalization with Reward Modeling","created":"2025-02-25","cited_by_count":27,"area":"agents"},{"id":"2502.19559","title":"Stay Focused: Problem Drift in Multi-Agent Debate","created":"2025-02-26","cited_by_count":23,"area":"agents"},{"id":"2408.06318","title":"Can We Rely on LLM Agents to Draft Long-Horizon Plans? Let's Take TravelPlanner as an Example","created":"2024-08-12","cited_by_count":22,"area":"agents"},{"id":"2411.03817","title":"From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning","created":"2024-11-06","cited_by_count":22,"area":"agents"},{"id":"2505.20023","title":"Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking","created":"2025-05-26","cited_by_count":17,"area":"agents"},{"id":"2509.20562","title":"SAMULE: Self-Learning Agents Enhanced by Multi-level Reflection","created":"2025-09-24","cited_by_count":15,"area":"agents"},{"id":"2606.00198","title":"BAGEN: Are LLM Agents Budget-Aware?","created":"2026-05-29","cited_by_count":13,"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":"2504.13145","title":"Exploring Expert Failures Improves LLM Agent Tuning","created":"2025-04-17","cited_by_count":9,"area":"agents"},{"id":"2605.11882","title":"On-Policy Self-Evolution via Failure Trajectories for Agentic Safety Alignment","created":"2026-05-12","cited_by_count":8,"area":"agents"},{"id":"2502.06589","title":"Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training","created":"2025-02-10","cited_by_count":6,"area":"agents"},{"id":"2510.03253","title":"Solving the Granularity Mismatch: Hierarchical Preference Learning for Long-Horizon LLM Agents","created":"2025-09-26","cited_by_count":4,"area":"agents"},{"id":"2606.25605","title":"Constraint Tax in Open-Weight LLMs: An Empirical Study of Tool Calling Suppression Under Structured Output Constraints","created":"2026-06-24","cited_by_count":3,"area":"agents"},{"id":"2605.18684","title":"Reversa: A Reverse Documentation Engineering Framework for Converting Legacy Software into Operational Specifications for AI Agents","created":"2026-05-18","cited_by_count":1,"area":"agents"},{"id":"2607.06140","title":"CurateEvo: Data-Curation Evolving for Agentic Post-Training","created":"2026-07-07","cited_by_count":1,"area":"agents"}],"next_cursor":null}