{"total":72,"rows":[{"id":"2509.08827","title":"A Survey of Reinforcement Learning for Large Reasoning Models","created":"2025-09-10","cited_by_count":180,"area":"lr"},{"id":"2507.19849","title":"Agentic Reinforced Policy Optimization","created":"2025-07-26","cited_by_count":172,"area":"lr"},{"id":"2506.18096","title":"Deep Research Agents: A Systematic Examination And Roadmap","created":"2025-06-22","cited_by_count":128,"area":"agents"},{"id":"2507.13334","title":"A Survey of Context Engineering for Large Language Models","created":"2025-07-17","cited_by_count":126,"area":null},{"id":"2508.13167","title":"Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL","created":"2025-08-06","cited_by_count":80,"area":"lr"},{"id":"2510.05592","title":"In-the-Flow Agentic System Optimization for Effective Planning and Tool Use","created":"2025-10-07","cited_by_count":72,"area":"lr"},{"id":"2604.18292","title":"Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence","created":"2026-04-20","cited_by_count":54,"area":"agents"},{"id":"2507.21836","title":"AutoTIR: Autonomous Tools Integrated Reasoning via Reinforcement Learning","created":"2025-07-29","cited_by_count":33,"area":"lr"},{"id":"2510.11701","title":"Demystifying Reinforcement Learning in Agentic Reasoning","created":"2025-10-13","cited_by_count":33,"area":"lr"},{"id":"2512.24330","title":"SenseNova-MARS: Empowering Multimodal Agentic Reasoning and Search via Reinforcement Learning","created":"2025-12-30","cited_by_count":33,"area":"lr"},{"id":"2508.10433","title":"We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning","created":"2025-08-14","cited_by_count":32,"area":"lr"},{"id":"2511.04460","title":"V-Thinker: Interactive Thinking with Images","created":"2025-11-06","cited_by_count":26,"area":"lr"},{"id":"2602.22897","title":"OmniGAIA: Towards Native Omni-Modal AI Agents","created":"2026-02-26","cited_by_count":22,"area":"agents"},{"id":"2607.13104","title":"Self-Improvements in Modern Agentic Systems: A Survey","created":"2026-07-14","cited_by_count":19,"area":"agents"},{"id":"2509.23285","title":"Toward Effective Tool-Integrated Reasoning via Self-Evolved Preference Learning","created":"2025-09-27","cited_by_count":17,"area":"lr"},{"id":"2510.23038","title":"Incentivizing Agentic Reasoning in LLM Judges via Tool-Integrated Reinforcement Learning","created":"2025-10-27","cited_by_count":17,"area":"lr"},{"id":"2602.00994","title":"Reasoning and Tool-use Compete in Agentic RL:From Quantifying Interference to Disentangled Tuning","created":"2026-02-01","cited_by_count":17,"area":"lr"},{"id":"2601.14192","title":"Toward Efficient Agents: Memory, Tool learning, and Planning","created":"2026-01-20","cited_by_count":16,"area":"agents"},{"id":"2607.13988","title":"TRACE: Turn-level Reward Assignment via Credit Estimation for Long-Horizon Agents","created":"2026-07-15","cited_by_count":16,"area":null},{"id":"2509.23292","title":"Learning How to Use Tools, Not Just When: Pattern-Aware Tool-Integrated Reasoning","created":"2025-09-27","cited_by_count":15,"area":"lr"},{"id":"2603.21383","title":"PivotRL: High Accuracy Agentic Post-Training at Low Compute Cost","created":"2026-03-22","cited_by_count":14,"area":"agents"},{"id":"2509.23768","title":"From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning","created":"2025-09-28","cited_by_count":12,"area":"lr"},{"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":"2601.03872","title":"Atlas: Orchestrating Heterogeneous Models and Tools for Multi-Domain Complex Reasoning","created":"2026-01-07","cited_by_count":11,"area":"lr"},{"id":"2605.12481","title":"ToolCUA: Towards Optimal GUI-Tool Path Orchestration for Computer Use Agents","created":"2026-05-12","cited_by_count":11,"area":"agents"},{"id":"2510.25510","title":"MTIR-SQL: Multi-turn Tool-Integrated Reasoning Reinforcement Learning for Text-to-SQL","created":"2025-10-29","cited_by_count":10,"area":"lr"},{"id":"2602.13691","title":"PhGPO: Pheromone-Guided Policy Optimization for Long-Horizon Tool Planning","created":"2026-02-14","cited_by_count":9,"area":"agents"},{"id":"2603.24943","title":"FinMCP-Bench: Benchmarking LLM Agents for Real-World Financial Tool Use under the Model Context Protocol","created":"2026-03-26","cited_by_count":8,"area":"agents"},{"id":"2510.11184","title":"Reinforcement Learning for Tool-Integrated Interleaved Thinking towards Cross-Domain Generalization","created":"2025-10-13","cited_by_count":7,"area":"lr"},{"id":"2510.18798","title":"WebSeer: Training Deeper Search Agents through Reinforcement Learning with Self-Reflection","created":"2025-10-21","cited_by_count":7,"area":"lr"},{"id":"2604.09455","title":"E3-TIR: Enhanced Experience Exploitation for Tool-Integrated Reasoning","created":"2026-04-10","cited_by_count":6,"area":"lr"},{"id":"2604.09813","title":"Controllable and Verifiable Tool-Use Data Synthesis for Agentic Reinforcement Learning","created":"2026-04-10","cited_by_count":6,"area":"agents"},{"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":"2505.20192","title":"FunReason: Enhancing Large Language Models' Function Calling via Self-Refinement Multiscale Loss and Automated Data Refinement","created":"2025-05-26","cited_by_count":5,"area":"lr"},{"id":"2508.00271","title":"MetaAgent: Toward Self-Evolving Agent via Tool Meta-Learning","created":"2025-08-01","cited_by_count":5,"area":"agents"},{"id":"2602.02050","title":"Rethinking the Role of Entropy in Optimizing Tool-Use Behaviors for Large Language Model Agents","created":"2026-02-02","cited_by_count":5,"area":"lr"},{"id":"2508.21104","title":"PVPO: Pre-Estimated Value-Based Policy Optimization for Agentic Reasoning","created":"2025-08-28","cited_by_count":4,"area":"agents"},{"id":"2510.19286","title":"TheMCPCompany: Creating General-purpose Agents with Task-specific Tools","created":"2025-10-22","cited_by_count":4,"area":"agents"},{"id":"2511.20085","title":"VICoT-Agent: A Vision-Interleaved Chain-of-Thought Framework for Interpretable Multimodal Reasoning and Scalable Remote Sensing Analysis","created":"2025-11-25","cited_by_count":4,"area":"lr"},{"id":"2512.01224","title":"CoSineVerifier: Tool-Augmented Answer Verification for Computation-Oriented Scientific Questions","created":"2025-12-01","cited_by_count":4,"area":null},{"id":"2512.08511","title":"Thinking with Images via Self-Calling Agent","created":"2025-12-09","cited_by_count":4,"area":"lr"},{"id":"2601.06860","title":"ET-Agent: Incentivizing Effective Tool-Integrated Reasoning Agent via Behavior Calibration","created":"2026-01-11","cited_by_count":4,"area":"lr"},{"id":"2601.15141","title":"CLEANER: Self-Purified Trajectories Boost Agentic Reinforcement Learning","created":"2026-01-21","cited_by_count":4,"area":"agents"},{"id":"2603.06713","title":"Scaling Agentic Capabilities, Not Context: Efficient Reinforcement Finetuning for Large Toolspaces","created":"2026-03-05","cited_by_count":4,"area":"agents"},{"id":"2605.12004","title":"Learning Agentic Policy from Action Guidance","created":"2026-05-12","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":"2601.11037","title":"BAPO: Boundary-Aware Policy Optimization for Reliable Agentic Search","created":"2026-01-16","cited_by_count":3,"area":"agents"},{"id":"2602.06319","title":"Exposing Weaknesses of Large Reasoning Models through Graph Algorithm Problems","created":"2026-02-06","cited_by_count":3,"area":"lr"},{"id":"2604.05404","title":"Beyond Accuracy: Unveiling Inefficiency Patterns in Tool-Integrated Reasoning","created":"2026-04-07","cited_by_count":3,"area":"lr"},{"id":"2512.20135","title":"MolAct: An Agentic RL Framework for Molecular Editing and Property Optimization","created":"2025-12-23","cited_by_count":2,"area":"agents"},{"id":"2601.23032","title":"Guided by Trajectories: Repairing and Rewarding Tool-Use Trajectories for Tool-Integrated Reasoning","created":"2026-01-30","cited_by_count":2,"area":"lr"},{"id":"2603.07853","title":"SynPlanResearch-R1: Encouraging Tool Exploration for Deep Research with Synthetic Plans","created":"2026-03-09","cited_by_count":2,"area":"agents"},{"id":"2605.09931","title":"PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning","created":"2026-05-11","cited_by_count":2,"area":"lr"},{"id":"2606.04579","title":"SCI-PRM: A Tool Aware Process Reward Model for Scientific Reasoning Verification","created":"2026-06-03","cited_by_count":2,"area":"lr"},{"id":"2602.18640","title":"Decoding ML Decision: An Agentic Reasoning Framework for Large-Scale Ranking System","created":"2026-02-20","cited_by_count":1,"area":"agents"},{"id":"2603.16876","title":"Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation","created":"2026-02-17","cited_by_count":1,"area":"agents"},{"id":"2605.07237","title":"Teaching Language Models to Think in Code","created":"2026-05-08","cited_by_count":1,"area":"lr"},{"id":"2606.03762","title":"Tool-Aware Optimization with Entropy Guidance for Efficient Agentic Reinforcement Learning","created":"2026-06-02","cited_by_count":1,"area":"agents"},{"id":"2512.10365","title":"GPG: Generalized Policy Gradient Theorem for Transformer-based Policies","created":"2025-12-11","cited_by_count":0,"area":"deeprl"},{"id":"2602.02160","title":"D-CORE: Incentivizing Task Decomposition in Large Reasoning Models for Complex Tool Use","created":"2026-02-02","cited_by_count":0,"area":"lr"},{"id":"2603.23964","title":"From Pixels to Digital Agents: An Empirical Study on the Taxonomy and Technological Trends of Reinforcement Learning Environments","created":"2026-03-25","cited_by_count":0,"area":"lr"},{"id":"2605.09544","title":"TIDE-Bench: Task-Aware and Diagnostic Evaluation of Tool-Integrated Reasoning","created":"2026-05-10","cited_by_count":0,"area":"lr"},{"id":"2605.20743","title":"Draw2Think: Harnessing Geometry Reasoning through Constraint Engine Interaction","created":"2026-05-20","cited_by_count":0,"area":"lr"},{"id":"2606.02518","title":"ToolFG: Towards Well-Grounded Fine-Grained Image Classification","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2608.30704","title":"TUE-Detector: A Tool-Using Expert MLLM-Based Detector for AI-Generated Videos","created":"2026-08-31","cited_by_count":0,"area":null},{"id":"2609.12578","title":"From Collaboration to Capability: Internalizing Routed LLM Experts into Compact Reasoners","created":"2026-09-11","cited_by_count":0,"area":"lr"},{"id":"2609.20089","title":"UnifiedPlayers: Enhance Tool-Integrated Reasoning in Agentic Reinforcement Learning","created":"2026-09-17","cited_by_count":0,"area":"lr"},{"id":"2609.33323","title":"Agentic Multi-Turn Reasoning: A Fairness Approach","created":"2026-09-27","cited_by_count":0,"area":"lr"},{"id":"2610.02330","title":"Choosing Before Acting: Comparative Value Estimation for Long-Horizon Tool-Use Agents","created":"2026-10-01","cited_by_count":0,"area":"agents"},{"id":"2610.04991","title":"CIPO: Counterfactual Imagination Policy Optimization for Adaptive Tool Granularity Selection","created":"2026-10-04","cited_by_count":0,"area":null},{"id":"2610.17953","title":"Agent-Reflex: Teaching Language Agents to Act Reflectively","created":"2026-10-13","cited_by_count":0,"area":"agents"},{"id":"2610.18861","title":"Hybrid Reasoning Agents","created":"2026-10-13","cited_by_count":0,"area":"lr"}],"next_cursor":null}