{"total":119,"rows":[{"id":"2504.21776","title":"WebThinker: Empowering Large Reasoning Models with Deep Research Capability","created":"2025-04-30","cited_by_count":335,"area":"lr"},{"id":"2507.02592","title":"WebSailor: Navigating Super-human Reasoning for Web Agent","created":"2025-07-03","cited_by_count":229,"area":"lr"},{"id":"2503.01935","title":"MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents","created":"2025-03-03","cited_by_count":178,"area":"lr"},{"id":"2507.19849","title":"Agentic Reinforced Policy Optimization","created":"2025-07-26","cited_by_count":172,"area":"lr"},{"id":"2403.04642","title":"Teaching Large Language Models to Reason with Reinforcement Learning","created":"2024-03-07","cited_by_count":160,"area":"lr"},{"id":"2410.02089","title":"RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning","created":"2024-10-02","cited_by_count":151,"area":"lr"},{"id":"2504.19678","title":"From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review","created":"2025-04-28","cited_by_count":149,"area":"lr"},{"id":"2505.23885","title":"OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation","created":"2025-05-29","cited_by_count":131,"area":"lr"},{"id":"2505.20286","title":"Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution","created":"2025-05-26","cited_by_count":116,"area":"lr"},{"id":"2502.04644","title":"Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools","created":"2025-02-07","cited_by_count":106,"area":"lr"},{"id":"2402.15116","title":"Large Multimodal Agents: A Survey","created":"2024-02-23","cited_by_count":105,"area":"lr"},{"id":"2505.08638","title":"TRAIL: Trace Reasoning and Agentic Issue Localization","created":"2025-05-13","cited_by_count":104,"area":"lr"},{"id":"2402.10963","title":"GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements","created":"2024-02-13","cited_by_count":103,"area":"lr"},{"id":"2509.01055","title":"VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use","created":"2025-09-01","cited_by_count":96,"area":"lr"},{"id":"2508.11408","title":"On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting","created":"2025-08-15","cited_by_count":91,"area":"lr"},{"id":"2511.11793","title":"MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling","created":"2025-11-14","cited_by_count":81,"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":"2510.21618","title":"DeepAgent: A General Reasoning Agent with Scalable Toolsets","created":"2025-10-24","cited_by_count":71,"area":"lr"},{"id":"2502.11271","title":"OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning","created":"2025-02-16","cited_by_count":69,"area":"lr"},{"id":"2509.13309","title":"WebResearcher: Unleashing unbounded reasoning capability in Long-Horizon Agents","created":"2025-09-16","cited_by_count":68,"area":"lr"},{"id":"2509.13305","title":"WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning","created":"2025-09-16","cited_by_count":61,"area":"lr"},{"id":"2505.23752","title":"ThinkGeo: Evaluating Tool-Augmented Agents for Remote Sensing Tasks","created":"2025-05-29","cited_by_count":46,"area":"lr"},{"id":"2506.23719","title":"DABstep: Data Agent Benchmark for Multi-step Reasoning","created":"2025-06-30","cited_by_count":46,"area":"lr"},{"id":"2507.09477","title":"Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs","created":"2025-07-13","cited_by_count":42,"area":"lr"},{"id":"2410.18963","title":"OSCAR: Operating System Control via State-Aware Reasoning and Re-Planning","created":"2024-10-24","cited_by_count":38,"area":"lr"},{"id":"2603.15726","title":"MiroThinker-1.7 & H1: Towards Heavy-Duty Research Agents via Verification","created":"2026-03-16","cited_by_count":32,"area":"lr"},{"id":"2401.14011","title":"CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning","created":"2024-01-25","cited_by_count":31,"area":"lr"},{"id":"2406.05673","title":"Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples","created":"2024-06-09","cited_by_count":30,"area":"lr"},{"id":"2602.18998","title":"Benchmark Test-Time Scaling of General LLM Agents","created":"2026-02-22","cited_by_count":26,"area":"lr"},{"id":"2312.02143","title":"Competition-Level Problems are Effective LLM Evaluators","created":"2023-12-04","cited_by_count":25,"area":"lr"},{"id":"2503.12349","title":"SPIN-Bench: How Well Do LLMs Plan Strategically and Reason Socially?","created":"2025-03-16","cited_by_count":24,"area":"lr"},{"id":"2507.20526","title":"Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition","created":"2025-07-28","cited_by_count":24,"area":"lr"},{"id":"2510.02837","title":"Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents","created":"2025-10-03","cited_by_count":24,"area":"lr"},{"id":"2509.06822","title":"RAFFLES: Reasoning-based Attribution of Faults for LLM Systems","created":"2025-09-08","cited_by_count":21,"area":"lr"},{"id":"2510.08790","title":"COMPASS: Enhancing Agent Long-Horizon Reasoning with Evolving Context","created":"2025-10-09","cited_by_count":20,"area":"lr"},{"id":"2510.08276","title":"Beyond Turn Limits: Training Deep Search Agents with Dynamic Context Window","created":"2025-10-09","cited_by_count":19,"area":"lr"},{"id":"2407.10718","title":"Sibyl: Simple yet Effective Agent Framework for Complex Real-world Reasoning","created":"2024-07-15","cited_by_count":18,"area":"lr"},{"id":"2511.13288","title":"Multi-Agent Deep Research: Training Multi-Agent Systems with M-GRPO","created":"2025-11-17","cited_by_count":18,"area":"lr"},{"id":"2510.10909","title":"PaperArena: An Evaluation Benchmark for Tool-Augmented Agentic Reasoning on Scientific Literature","created":"2025-10-13","cited_by_count":15,"area":"lr"},{"id":"2605.09359","title":"Skill-R1: Agent Skill Evolution via Reinforcement Learning","created":"2026-05-10","cited_by_count":15,"area":"lr"},{"id":"2402.18439","title":"Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication","created":"2024-02-28","cited_by_count":14,"area":"lr"},{"id":"2509.06733","title":"Reinforcement Learning Foundations for Deep Research Systems: A Survey","created":"2025-09-08","cited_by_count":14,"area":"lr"},{"id":"2601.06021","title":"Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards","created":"2026-01-09","cited_by_count":14,"area":"lr"},{"id":"2510.21557","title":"Co-Sight: Enhancing LLM-Based Agents via Conflict-Aware Meta-Verification and Trustworthy Reasoning with Structured Facts","created":"2025-10-24","cited_by_count":13,"area":"lr"},{"id":"2412.20372","title":"LLM2: Let Large Language Models Harness System 2 Reasoning","created":"2024-12-29","cited_by_count":12,"area":"lr"},{"id":"2505.13328","title":"Rethinking Stateful Tool Use in Multi-Turn Dialogues: Benchmarks and Challenges","created":"2025-05-19","cited_by_count":12,"area":"lr"},{"id":"2606.00765","title":"FALAT: Tracing Failures in LLM Agent Trajectories via Dependency-Guided Search","created":"2026-05-30","cited_by_count":12,"area":"lr"},{"id":"2412.15305","title":"Tree-of-Code: A Tree-Structured Exploring Framework for End-to-End Code Generation and Execution in Complex Task Handling","created":"2024-12-19","cited_by_count":11,"area":"lr"},{"id":"2510.24694","title":"Repurposing Synthetic Data for Fine-grained Search Agent Supervision","created":"2025-10-28","cited_by_count":11,"area":"lr"},{"id":"2601.21968","title":"OVD: On-policy Verbal Distillation","created":"2026-01-29","cited_by_count":11,"area":"lr"},{"id":"2412.07472","title":"SmartAgent: Chain-of-User-Thought for Embodied Personalized Agent in Cyber World","created":"2024-12-10","cited_by_count":10,"area":"lr"},{"id":"2510.14438","title":"WebAggregator: Enhancing Compositional Reasoning Capabilities of Deep Research Agent Foundation Models","created":"2025-10-16","cited_by_count":10,"area":"lr"},{"id":"2412.08457","title":"Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection","created":"2024-12-11","cited_by_count":9,"area":"lr"},{"id":"2507.03254","title":"CodeAgents: A Token-Efficient Framework for Codified Multi-Agent Reasoning in LLMs","created":"2025-07-04","cited_by_count":9,"area":"lr"},{"id":"2410.06733","title":"Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles","created":"2024-10-09","cited_by_count":8,"area":"lr"},{"id":"2508.04625","title":"FinMMR: Make Financial Numerical Reasoning More Multimodal, Comprehensive, and Challenging","created":"2025-08-06","cited_by_count":7,"area":"lr"},{"id":"2510.06534","title":"Beneficial Reasoning Behaviors in Agentic Search and Effective Post-training to Obtain Them","created":"2025-10-08","cited_by_count":7,"area":"lr"},{"id":"2512.02874","title":"Think in Parallel, Answer as One: Logit Averaging for Open-Ended Reasoning","created":"2025-12-02","cited_by_count":6,"area":"lr"},{"id":"2602.03053","title":"MAS-ProVe: Understanding the Process Verification of Multi-Agent Systems","created":"2026-02-03","cited_by_count":6,"area":"lr"},{"id":"2605.05980","title":"TACT: Mitigating Overthinking and Overacting in Coding Agents via Activation Steering","created":"2026-05-07","cited_by_count":6,"area":"lr"},{"id":"2605.11633","title":"Can LLM Agents Respond to Disasters? Benchmarking Heterogeneous Geospatial Reasoning in Emergency Operations","created":"2026-05-12","cited_by_count":6,"area":"lr"},{"id":"2606.09348","title":"PBSD: Privileged Bayesian Self-Distillation for Long-Horizon Credit Assignment","created":"2026-06-08","cited_by_count":6,"area":"lr"},{"id":"2606.15079","title":"Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale","created":"2026-06-13","cited_by_count":6,"area":"lr"},{"id":"2606.15862","title":"RetailBench: Benchmarking long horizon reasoning and coherent decision making of LLM agents in realistic retail environments","created":"2026-06-14","cited_by_count":6,"area":"lr"},{"id":"2606.26080","title":"Neglected Free Lunch from Post-training: Progress Advantage for LLM Agents","created":"2026-06-24","cited_by_count":6,"area":"lr"},{"id":"2511.17652","title":"TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots","created":"2025-11-20","cited_by_count":5,"area":"lr"},{"id":"2606.13148","title":"TerraBench: Can Agents Reason Over Heterogeneous Earth-System Data?","created":"2026-06-11","cited_by_count":5,"area":"lr"},{"id":"2510.15862","title":"Rethinking the Design of Reinforcement Learning-Based Deep Research Agents","created":"2025-10-17","cited_by_count":4,"area":"lr"},{"id":"2602.04496","title":"ReThinker: Scientific Reasoning by Rethinking with Guided Reflection and Confidence Control","created":"2026-02-04","cited_by_count":4,"area":"lr"},{"id":"2602.10863","title":"ICA: Information-Aware Credit Assignment for Visually Grounded Long-Horizon Information-Seeking Agents","created":"2026-02-11","cited_by_count":4,"area":"lr"},{"id":"2603.16777","title":"Anticipatory Planning for Multimodal AI Agents","created":"2026-03-17","cited_by_count":4,"area":"lr"},{"id":"2410.03062","title":"Image First or Text First? Optimising the Sequencing of Modalities in Large Language Model Prompting and Reasoning Tasks","created":"2024-10-04","cited_by_count":3,"area":"lr"},{"id":"2509.17628","title":"MSCoRe: A Benchmark for Multi-Stage Collaborative Reasoning in LLM Agents","created":"2025-09-22","cited_by_count":3,"area":"lr"},{"id":"2510.16276","title":"What Limits Agentic Systems Efficiency?","created":"2025-10-18","cited_by_count":3,"area":"lr"},{"id":"2601.15047","title":"Game-Theoretic Lens on LLM-based Multi-Agent Systems","created":"2026-01-21","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":"2606.10709","title":"Effective Reinforcement Learning for Agentic Search by Recycling Zero-Variance Queries During Training","created":"2026-06-09","cited_by_count":3,"area":"lr"},{"id":"2606.18954","title":"GraphPO: Graph-based Policy Optimization for Reasoning Models","created":"2026-06-17","cited_by_count":3,"area":"lr"},{"id":"2607.05775","title":"Beyond the Leaderboard: A Synthesis of Tool-Use, Planning, and Reasoning Failures in Large Language Model Agents","created":"2026-07-07","cited_by_count":3,"area":"lr"},{"id":"2412.16771","title":"SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization","created":"2024-12-21","cited_by_count":2,"area":"lr"},{"id":"2508.12265","title":"Fast, Slow, and Tool-augmented Thinking for LLMs: A Review","created":"2025-08-17","cited_by_count":2,"area":"lr"},{"id":"2510.13499","title":"ConsintBench: Evaluating Language Models on Real-World Consumer Intent Understanding","created":"2025-10-15","cited_by_count":2,"area":"lr"},{"id":"2510.17491","title":"Empowering Real-World: A Survey on the Technology, Practice, and Evaluation of LLM-driven Industry Agents","created":"2025-10-20","cited_by_count":2,"area":"lr"},{"id":"2601.08225","title":"User-Oriented Multi-Turn Dialogue Generation with Tool Use at scale","created":"2026-01-13","cited_by_count":2,"area":"lr"},{"id":"2602.10148","title":"Red-teaming the Multimodal Reasoning: Jailbreaking Vision-Language Models via Cross-modal Entanglement Attacks","created":"2026-02-09","cited_by_count":2,"area":"lr"},{"id":"2604.24512","title":"Beyond the Attention Stability Boundary: Agentic Self-Synthesizing Reasoning Protocols","created":"2026-04-27","cited_by_count":2,"area":"lr"},{"id":"2606.17209","title":"Beyond Parallel Sampling: Diverse Query Initialization for Agentic Search","created":"2026-06-15","cited_by_count":2,"area":"lr"},{"id":"2607.07820","title":"DeepSearch-World: Self-Distillation for Deep Search Agents in a Verifiable Environment","created":"2026-07-08","cited_by_count":2,"area":"lr"},{"id":"2607.26977","title":"TREK: A Travel Reasoning and Evaluation Kit for LLM Agents in Complex Trip Planning","created":"2026-07-29","cited_by_count":2,"area":"lr"},{"id":"2608.01358","title":"HopRefusalBench: Diagnosing Refusal Failures in Search-Augmented Agents for Multi-Hop Reasoning","created":"2026-08-02","cited_by_count":2,"area":"lr"},{"id":"2510.08567","title":"MATRIX: Multimodal Agent Tuning for Robust Tool-Use Reasoning","created":"2025-10-09","cited_by_count":1,"area":"lr"},{"id":"2512.11213","title":"FutureWeaver: Planning Test-Time Compute for Multi-Agent Systems with Modularized Collaboration","created":"2025-12-12","cited_by_count":1,"area":"lr"},{"id":"2603.13256","title":"Training-Free Agentic AI: Probabilistic Control and Coordination in Multi-Agent LLM Systems","created":"2026-02-24","cited_by_count":1,"area":"lr"},{"id":"2605.14002","title":"PolitNuggets: Benchmarking Agentic Discovery of Long-Tail Political Facts","created":"2026-05-13","cited_by_count":1,"area":"lr"},{"id":"2606.18831","title":"Beyond Reward Engineering: A Data Recipe for Long-Context Reinforcement Learning","created":"2026-06-17","cited_by_count":1,"area":"lr"},{"id":"2608.06663","title":"The Horizon Gap: Planning, Memory, Execution, Training, and Evaluation for Long-Horizon LLM Agents","created":"2026-08-07","cited_by_count":1,"area":"lr"},{"id":"2608.18682","title":"RTPO: Reverse-Turn Policy Optimization for Stabilizing Agentic RL Training","created":"2026-08-19","cited_by_count":1,"area":"lr"},{"id":"2609.00833","title":"Dense Process Supervision for Search Agents via Fact Utility Estimation","created":"2026-09-01","cited_by_count":1,"area":"lr"},{"id":"2609.36641","title":"Inducing Process Supervision from Outcome-Only Reinforcement Learning","created":"2026-09-29","cited_by_count":1,"area":"lr"},{"id":"2601.13075","title":"METIS: Mentoring Engine for Thoughtful Inquiry & Solutions","created":"2026-01-19","cited_by_count":0,"area":"lr"}],"next_cursor":"100"}