{"list":"other","total":58,"rows":[{"id":"2203.02155","title":"Training language models to follow instructions with human feedback","created":"2022-03-04","cited_by_count":15971},{"id":"2407.21783","title":"The Llama 3 Herd of Models","created":"2024-07-31","cited_by_count":14715},{"id":"2402.03300","title":"DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models","created":"2024-02-05","cited_by_count":9379},{"id":"2210.03629","title":"ReAct: Synergizing Reasoning and Acting in Language Models","created":"2022-10-06","cited_by_count":8695},{"id":"2303.11366","title":"Reflexion: Language Agents with Verbal Reinforcement Learning","created":"2023-03-20","cited_by_count":4276},{"id":"2302.04761","title":"Toolformer: Language Models Can Teach Themselves to Use Tools","created":"2023-02-09","cited_by_count":4182},{"id":"2304.03442","title":"Generative Agents: Interactive Simulacra of Human Behavior","created":"2023-04-07","cited_by_count":3568},{"id":"1508.07909","title":"Neural Machine Translation of Rare Words with Subword Units","created":"2015-08-31","cited_by_count":2918},{"id":"2305.16291","title":"Voyager: An Open-Ended Embodied Agent with Large Language Models","created":"2023-05-25","cited_by_count":2191},{"id":"2307.13854","title":"WebArena: A Realistic Web Environment for Building Autonomous Agents","created":"2023-07-25","cited_by_count":2006},{"id":"2307.16789","title":"ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs","created":"2023-07-31","cited_by_count":1947},{"id":"2112.09332","title":"WebGPT: Browser-assisted question-answering with human feedback","created":"2021-12-17","cited_by_count":1745},{"id":"2406.12045","title":"$\\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains","created":"2024-06-17","cited_by_count":1402},{"id":"2310.08560","title":"MemGPT: Towards LLMs as Operating Systems","created":"2023-10-12","cited_by_count":1389},{"id":"2305.15334","title":"Gorilla: Large Language Model Connected with Massive APIs","created":"2023-05-24","cited_by_count":1332},{"id":"2308.03688","title":"AgentBench: Evaluating LLMs as Agents","created":"2023-08-07","cited_by_count":1267},{"id":"2209.07753","title":"Code as Policies: Language Model Programs for Embodied Control","created":"2022-09-16","cited_by_count":1210},{"id":"2409.12186","title":"Qwen2.5-Coder Technical Report","created":"2024-09-18","cited_by_count":1203},{"id":"2502.12110","title":"A-MEM: Agentic Memory for LLM Agents","created":"2025-02-17","cited_by_count":1063},{"id":"2308.10144","title":"ExpeL: LLM Agents Are Experiential Learners","created":"2023-08-20","cited_by_count":876},{"id":"2504.19413","title":"Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory","created":"2025-04-28","cited_by_count":779},{"id":"2211.10435","title":"PAL: Program-aided Language Models","created":"2022-11-18","cited_by_count":652},{"id":"2304.08244","title":"API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs","created":"2023-04-14","cited_by_count":591},{"id":"2410.10762","title":"AFlow: Automating Agentic Workflow Generation","created":"2024-10-14","cited_by_count":432},{"id":"2409.07429","title":"Agent Workflow Memory","created":"2024-09-11","cited_by_count":383},{"id":"2504.13958","title":"ToolRL: Reward is All Tool Learning Needs","created":"2025-04-16","cited_by_count":362},{"id":"2310.12823","title":"AgentTuning: Enabling Generalized Agent Abilities for LLMs","created":"2023-10-19","cited_by_count":338},{"id":"2408.04682","title":"ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities","created":"2024-08-08","cited_by_count":295},{"id":"2602.08234","title":"SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning","created":"2026-02-09","cited_by_count":278},{"id":"2310.05915","title":"FireAct: Toward Language Agent Fine-tuning","created":"2023-10-09","cited_by_count":256},{"id":"2603.25158","title":"Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills","created":"2026-03-26","cited_by_count":187},{"id":"2312.04511","title":"An LLM Compiler for Parallel Function Calling","created":"2023-12-07","cited_by_count":179},{"id":"2602.20867","title":"SoK: Agentic Skills -- Beyond Tool Use in LLM Agents","created":"2026-02-24","cited_by_count":130},{"id":"2508.06433","title":"Memp: Exploring Agent Procedural Memory","created":"2025-08-08","cited_by_count":103},{"id":"2604.02268","title":"SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization","created":"2026-04-02","cited_by_count":94},{"id":"2510.25726","title":"The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Execution","created":"2025-10-29","cited_by_count":85},{"id":"2407.12821","title":"AutoFlow: Automated Workflow Generation for Large Language Model Agents","created":"2024-07-01","cited_by_count":83},{"id":"2511.08325","title":"AgentPRM: Process Reward Models for LLM Agents via Step-Wise Promise and Progress","created":"2025-11-11","cited_by_count":77},{"id":"2505.16410","title":"Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning","created":"2025-05-22","cited_by_count":72},{"id":"2510.01179","title":"TOUCAN: Synthesizing 1.5M Tool-Agentic Data from Real-World MCP Environments","created":"2025-10-01","cited_by_count":69},{"id":"2405.16247","title":"AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning","created":"2024-05-25","cited_by_count":61},{"id":"2510.04550","title":"TRAJECT-Bench:A Trajectory-Aware Benchmark for Evaluating Agentic Tool Use","created":"2025-10-06","cited_by_count":51},{"id":"2410.07745","title":"StepTool: Enhancing Multi-Step Tool Usage in LLMs via Step-Grained Reinforcement Learning","created":"2024-10-10","cited_by_count":25},{"id":"2403.19305","title":"MATEval: A Multi-Agent Discussion Framework for Advancing Open-Ended Text Evaluation","created":"2024-03-28","cited_by_count":20},{"id":"2405.17438","title":"An LLM-Tool Compiler for Fused Parallel Function Calling","created":"2024-05-07","cited_by_count":15},{"id":"2407.12823","title":"WTU-EVAL: A Whether-or-Not Tool Usage Evaluation Benchmark for Large Language Models","created":"2024-07-02","cited_by_count":13},{"id":"2512.19134","title":"QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented Generation","created":"2025-12-22","cited_by_count":12},{"id":"2604.11037","title":"RTMC: Step-Level Credit Assignment via Rollout Trees","created":"2026-04-13","cited_by_count":12},{"id":"2508.12725","title":"GTool: Graph Enhanced Tool Planning with Large Language Model","created":"2025-08-18","cited_by_count":10},{"id":"2602.13691","title":"PhGPO: Pheromone-Guided Policy Optimization for Long-Horizon Tool Planning","created":"2026-02-14","cited_by_count":9},{"id":"2607.22724","title":"Progress-conditioned Group Policy Optimization for Long-Horizon Agentic Tasks","created":"2026-07-22","cited_by_count":9},{"id":"2606.25421","title":"Beyond Next-Observation Prediction: Agent-Authored World Modeling for Sequential Decision Making","created":"2026-06-24","cited_by_count":8},{"id":"2510.08517","title":"CaRT: Teaching LLM Agents to Know When They Know Enough","created":"2025-10-09","cited_by_count":7},{"id":"2605.17672","title":"Stop When Reasoning Converges: Semantic-Preserving Early Exit for Reasoning Models","created":"2026-05-17","cited_by_count":7},{"id":"2601.22037","title":"Optimizing Agentic Workflows using Meta-tools","created":"2026-01-29","cited_by_count":5},{"id":"2511.09292","title":"C$^3$TG: Conflict-aware, Composite, and Collaborative Controlled Text Generation","created":"2025-11-12","cited_by_count":3},{"id":"2601.22930","title":"MTDrive: Multi-turn Interactive Reinforcement Learning for Autonomous Driving","created":"2026-01-30","cited_by_count":2},{"id":"2609.36939","title":"SCA: Spatial Credit Assignment for Reinforcement Learning of GUI Agents","created":"2026-09-29","cited_by_count":2}],"next_cursor":null}