{"total":52,"rows":[{"id":"2504.13958","title":"ToolRL: Reward is All Tool Learning Needs","created":"2025-04-16","cited_by_count":362,"area":"agents"},{"id":"2402.18679","title":"Data Interpreter: An LLM Agent For Data Science","created":"2024-02-28","cited_by_count":225,"area":"agents"},{"id":"2405.17935","title":"Tool Learning with Large Language Models: A Survey","created":"2024-05-28","cited_by_count":223,"area":"agents"},{"id":"2505.22648","title":"WebDancer: Towards Autonomous Information Seeking Agency","created":"2025-05-28","cited_by_count":188,"area":"agents"},{"id":"2310.10634","title":"OpenAgents: An Open Platform for Language Agents in the Wild","created":"2023-10-16","cited_by_count":137,"area":"agents"},{"id":"2403.12881","title":"Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models","created":"2024-03-19","cited_by_count":100,"area":"agents"},{"id":"2401.07324","title":"Small LLMs Are Weak Tool Learners: A Multi-LLM Agent","created":"2024-01-14","cited_by_count":93,"area":"agents"},{"id":"2410.15164","title":"SPA-Bench: A Comprehensive Benchmark for SmartPhone Agent Evaluation","created":"2024-10-19","cited_by_count":81,"area":"agents"},{"id":"2507.07998","title":"PyVision: Agentic Vision with Dynamic Tooling","created":"2025-07-10","cited_by_count":79,"area":"agents"},{"id":"2508.14111","title":"From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery","created":"2025-08-18","cited_by_count":77,"area":"agents"},{"id":"2501.12851","title":"ACEBench: Who Wins the Match Point in Tool Usage?","created":"2025-01-22","cited_by_count":71,"area":"agents"},{"id":"2506.19676","title":"A Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasures","created":"2025-06-24","cited_by_count":57,"area":"agents"},{"id":"2505.16700","title":"MCP-RADAR: A Multi-Dimensional Benchmark for Evaluating Tool Use Capabilities in Large Language Models","created":"2025-05-22","cited_by_count":48,"area":"agents"},{"id":"2405.14125","title":"ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation","created":"2024-05-23","cited_by_count":47,"area":"agents"},{"id":"2410.08197","title":"From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions","created":"2024-10-10","cited_by_count":46,"area":"agents"},{"id":"2402.14158","title":"TOOLVERIFIER: Generalization to New Tools via Self-Verification","created":"2024-02-21","cited_by_count":24,"area":"agents"},{"id":"2506.00886","title":"Position: Agent Should Invoke External Tools ONLY When Epistemically Necessary","created":"2025-06-01","cited_by_count":22,"area":"agents"},{"id":"2509.21842","title":"DeepTravel: An End-to-End Agentic Reinforcement Learning Framework for Autonomous Travel Planning Agents","created":"2025-09-26","cited_by_count":17,"area":"agents"},{"id":"2406.06469","title":"Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning","created":"2024-06-10","cited_by_count":16,"area":"agents"},{"id":"2607.04763","title":"Multi-Turn On-Policy Distillation with Prefix Replay","created":"2026-07-06","cited_by_count":15,"area":"agents"},{"id":"2508.12685","title":"ToolACE-MT: Non-Autoregressive Generation for Agentic Multi-Turn Interaction","created":"2025-08-18","cited_by_count":11,"area":"agents"},{"id":"2509.22601","title":"Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning","created":"2025-09-26","cited_by_count":11,"area":"agents"},{"id":"2604.15415","title":"HarmfulSkillBench: How Do Harmful Skills Weaponize Your Agents?","created":"2026-04-16","cited_by_count":11,"area":"agents"},{"id":"2410.13610","title":"MeNTi: Bridging Medical Calculator and LLM Agent with Nested Tool Calling","created":"2024-10-17","cited_by_count":10,"area":"agents"},{"id":"2406.12307","title":"Can Tool-augmented Large Language Models be Aware of Incomplete Conditions?","created":"2024-06-18","cited_by_count":8,"area":"agents"},{"id":"2505.17735","title":"SafeAgent: Safeguarding LLM Agents via an Automated Risk Simulator","created":"2025-05-23","cited_by_count":6,"area":"agents"},{"id":"2412.03096","title":"TOOL-ED: Enhancing Empathetic Response Generation with the Tool Calling Capability of LLM","created":"2024-12-04","cited_by_count":5,"area":"agents"},{"id":"2505.12501","title":"ALAS: A Stateful Multi-LLM Agent Framework for Disruption-Aware Planning","created":"2025-05-18","cited_by_count":5,"area":"agents"},{"id":"2505.22467","title":"Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent Systems","created":"2025-05-28","cited_by_count":5,"area":"agents"},{"id":"2605.15104","title":"From Text to Voice: A Reproducible and Verifiable Framework for Evaluating Tool Calling LLM Agents","created":"2026-05-14","cited_by_count":5,"area":"agents"},{"id":"2506.20911","title":"FaSTA$^*$: Fast-Slow Toolpath Agent with Subroutine Mining for Efficient Multi-turn Image Editing","created":"2025-06-26","cited_by_count":4,"area":"agents"},{"id":"2601.15141","title":"CLEANER: Self-Purified Trajectories Boost Agentic Reinforcement Learning","created":"2026-01-21","cited_by_count":4,"area":"agents"},{"id":"2602.18700","title":"Watermarking LLM Agent Trajectories","created":"2026-02-21","cited_by_count":4,"area":"agents"},{"id":"2606.12384","title":"APPO: Agentic Procedural Policy Optimization","created":"2026-06-10","cited_by_count":4,"area":"agents"},{"id":"2506.17697","title":"Beyond Syntax: Action Semantics Learning for App Agents","created":"2025-06-21","cited_by_count":3,"area":"agents"},{"id":"2608.27260","title":"What Makes Good Agentic Data? An ACE Lens on Data Generation for LLM Agents","created":"2026-08-27","cited_by_count":3,"area":"agents"},{"id":"2312.17601","title":"The Tyranny of Possibilities in the Design of Task-Oriented LLM Systems: A Scoping Survey","created":"2023-12-29","cited_by_count":2,"area":"agents"},{"id":"2411.00188","title":"Building Multi-Agent Copilot towards Autonomous Agricultural Data Management and Analysis","created":"2024-10-31","cited_by_count":2,"area":"agents"},{"id":"2512.21708","title":"MoRAgent: Parameter Efficient Agent Tuning with Mixture-of-Roles","created":"2025-12-25","cited_by_count":2,"area":"agents"},{"id":"2601.11658","title":"Towards AGI A Pragmatic Approach Towards Self Evolving Agent","created":"2026-01-15","cited_by_count":2,"area":"agents"},{"id":"2411.08432","title":"One STEP at a time: Language Agents are Stepwise Planners","created":"2024-11-13","cited_by_count":1,"area":"agents"},{"id":"2411.19547","title":"Training Agents with Weakly Supervised Feedback from Large Language Models","created":"2024-11-29","cited_by_count":1,"area":"agents"},{"id":"2512.15751","title":"GLOW: Graph-Language Co-Encoding for Agentic Workflow Performance Prediction","created":"2025-12-11","cited_by_count":1,"area":"agents"},{"id":"2512.24957","title":"AMAP Agentic Planning Technical Report","created":"2025-12-31","cited_by_count":1,"area":"agents"},{"id":"2607.16851","title":"AgentBrew: Lifelong Knowledge Brewing from Strong Teachers to Weak LLM Agents","created":"2026-07-18","cited_by_count":1,"area":"agents"},{"id":"2402.10051","title":"SwissNYF: Tool Grounded LLM Agents for Black Box Setting","created":"2024-02-15","cited_by_count":0,"area":"agents"},{"id":"2509.23803","title":"FedAgentBench: Towards Automating Real-world Federated Medical Image Analysis with Server-Client LLM Agents","created":"2025-09-28","cited_by_count":0,"area":"agents"},{"id":"2511.14903","title":"It's LIT! Reliability-Optimized LLMs with Inspectable Tools","created":"2025-11-18","cited_by_count":0,"area":"agents"},{"id":"2603.01209","title":"Agents Learn Their Runtime: Interpreter Persistence as Training-Time Semantics","created":"2026-03-01","cited_by_count":0,"area":"agents"},{"id":"2606.06835","title":"Translate-R1: Cost-Aware Translation Tool Use via Reinforcement Learning","created":"2026-06-05","cited_by_count":0,"area":"agents"},{"id":"2607.06820","title":"Evaluating SageMath-Augmented LLM Agents for Computational and Experimental Mathematics","created":"2026-07-07","cited_by_count":0,"area":"agents"},{"id":"2610.12593","title":"Know What You Don't Know: Agentic Data Synthesis by Evolving Generation Space for Closed-Loop Learning","created":"2026-10-08","cited_by_count":0,"area":"agents"}],"next_cursor":null}