{"total":433,"rows":[{"id":"2503.06749","title":"Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models","created":"2025-03-09","cited_by_count":665,"area":"lr"},{"id":"2503.18892","title":"SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild","created":"2025-03-24","cited_by_count":511,"area":"lr"},{"id":"2604.13016","title":"Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe","created":"2026-04-14","cited_by_count":299,"area":"lr"},{"id":"2502.12067","title":"TokenSkip: Controllable Chain-of-Thought Compression in LLMs","created":"2025-02-17","cited_by_count":249,"area":"lr"},{"id":"2412.18319","title":"Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search","created":"2024-12-24","cited_by_count":175,"area":"lr"},{"id":"2507.19849","title":"Agentic Reinforced Policy Optimization","created":"2025-07-26","cited_by_count":172,"area":"lr"},{"id":"2510.25741","title":"Scaling Latent Reasoning via Looped Language Models","created":"2025-10-29","cited_by_count":165,"area":"lr"},{"id":"2405.03553","title":"AlphaMath Almost Zero: Process Supervision without Process","created":"2024-05-06","cited_by_count":162,"area":"lr"},{"id":"2504.07164","title":"R2E-Gym: Procedural Environments and Hybrid Verifiers for Scaling Open-Weights SWE Agents","created":"2025-04-09","cited_by_count":158,"area":"lr"},{"id":"2405.03548","title":"MAmmoTH2: Scaling Instructions from the Web","created":"2024-05-06","cited_by_count":145,"area":"lr"},{"id":"2502.12025","title":"SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities","created":"2025-02-17","cited_by_count":136,"area":"lr"},{"id":"2502.07374","title":"LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!","created":"2025-02-11","cited_by_count":132,"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":"2508.05629","title":"On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification","created":"2025-08-07","cited_by_count":127,"area":"lr"},{"id":"2502.12143","title":"Small Models Struggle to Learn from Strong Reasoners","created":"2025-02-17","cited_by_count":113,"area":"lr"},{"id":"2507.00432","title":"Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning","created":"2025-07-01","cited_by_count":106,"area":"lr"},{"id":"2501.18492","title":"GuardReasoner: Towards Reasoning-based LLM Safeguards","created":"2025-01-30","cited_by_count":100,"area":"lr"},{"id":"2512.17102","title":"Reinforcement Learning for Self-Improving Agent with Skill Library","created":"2025-12-18","cited_by_count":100,"area":"lr"},{"id":"2506.07527","title":"Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions","created":"2025-06-09","cited_by_count":97,"area":"lr"},{"id":"2502.01718","title":"ACECODER: Acing Coder RL via Automated Test-Case Synthesis","created":"2025-02-03","cited_by_count":93,"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":"2505.23678","title":"Grounded Reinforcement Learning for Visual Reasoning","created":"2025-05-29","cited_by_count":83,"area":"lr"},{"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":"2502.02384","title":"STAIR: Improving Safety Alignment with Introspective Reasoning","created":"2025-02-04","cited_by_count":77,"area":"lr"},{"id":"2502.18418","title":"Rank1: Test-Time Compute for Reranking in Information Retrieval","created":"2025-02-25","cited_by_count":70,"area":"lr"},{"id":"2505.00024","title":"Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning","created":"2025-04-25","cited_by_count":68,"area":"lr"},{"id":"2505.14631","title":"Think Only When You Need with Large Hybrid-Reasoning Models","created":"2025-05-20","cited_by_count":66,"area":"lr"},{"id":"2507.16812","title":"MegaScience: Pushing the Frontiers of Post-Training Datasets for Science Reasoning","created":"2025-07-22","cited_by_count":59,"area":"lr"},{"id":"2511.01824","title":"Simulating Environments with Reasoning Models for Agent Training","created":"2025-11-03","cited_by_count":57,"area":"lr"},{"id":"2504.10481","title":"xVerify: Efficient Answer Verifier for Reasoning Model Evaluations","created":"2025-04-14","cited_by_count":55,"area":"lr"},{"id":"2506.04207","title":"Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning","created":"2025-06-04","cited_by_count":53,"area":"lr"},{"id":"2504.02807","title":"MegaMath: Pushing the Limits of Open Math Corpora","created":"2025-04-03","cited_by_count":51,"area":"lr"},{"id":"2503.03686","title":"MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems","created":"2025-03-05","cited_by_count":50,"area":"lr"},{"id":"2504.10160","title":"MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning","created":"2025-04-14","cited_by_count":48,"area":"lr"},{"id":"2508.02095","title":"VLM4D: Towards Spatiotemporal Awareness in Vision Language Models","created":"2025-08-04","cited_by_count":46,"area":"lr"},{"id":"2504.21277","title":"Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models","created":"2025-04-30","cited_by_count":44,"area":"lr"},{"id":"2505.13308","title":"Seek in the Dark: Reasoning via Test-Time Instance-Level Policy Gradient in Latent Space","created":"2025-05-19","cited_by_count":43,"area":"lr"},{"id":"2505.11049","title":"GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning","created":"2025-05-16","cited_by_count":42,"area":"lr"},{"id":"2502.18001","title":"Unveiling the Key Factors for Distilling Chain-of-Thought Reasoning","created":"2025-02-25","cited_by_count":40,"area":"lr"},{"id":"2505.20258","title":"ARM: Adaptive Reasoning Model","created":"2025-05-26","cited_by_count":39,"area":"lr"},{"id":"2406.07115","title":"Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees","created":"2024-06-11","cited_by_count":38,"area":"lr"},{"id":"2509.01656","title":"Reinforced Visual Perception with Tools","created":"2025-09-01","cited_by_count":38,"area":"lr"},{"id":"2501.06458","title":"O1 Replication Journey -- Part 3: Inference-time Scaling for Medical Reasoning","created":"2025-01-11","cited_by_count":35,"area":"lr"},{"id":"2505.04881","title":"ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning","created":"2025-05-08","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":"2503.13360","title":"Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning","created":"2025-03-17","cited_by_count":32,"area":"lr"},{"id":"2503.16212","title":"MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion","created":"2025-03-20","cited_by_count":30,"area":"lr"},{"id":"2505.16854","title":"Think or Not? Selective Reasoning via Reinforcement Learning for Vision-Language Models","created":"2025-05-22","cited_by_count":30,"area":"lr"},{"id":"2601.21821","title":"MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods","created":"2026-01-29","cited_by_count":30,"area":"lr"},{"id":"2412.17498","title":"DRT: Deep Reasoning Translation via Long Chain-of-Thought","created":"2024-12-23","cited_by_count":29,"area":"lr"},{"id":"2504.09772","title":"Two Heads are Better Than One: Test-time Scaling of Multi-agent Collaborative Reasoning","created":"2025-04-14","cited_by_count":29,"area":"lr"},{"id":"2510.01624","title":"Quagmires in SFT-RL Post-Training: When High SFT Scores Mislead and What to Use Instead","created":"2025-10-02","cited_by_count":28,"area":"lr"},{"id":"2512.22315","title":"VideoZoomer: Reinforcement-Learned Temporal Focusing for Long Video Reasoning","created":"2025-12-26","cited_by_count":27,"area":"lr"},{"id":"2507.15375","title":"STITCH: Simultaneous Thinking and Talking with Chunked Reasoning for Spoken Language Models","created":"2025-07-21","cited_by_count":26,"area":"lr"},{"id":"2507.15509","title":"Chart-R1: Chain-of-Thought Supervision and Reinforcement for Advanced Chart Reasoner","created":"2025-07-21","cited_by_count":25,"area":"lr"},{"id":"2601.23224","title":"Video-o3: Native Interleaved Clue Seeking for Long Video Multi-Hop Reasoning","created":"2026-01-30","cited_by_count":24,"area":"lr"},{"id":"2407.05013","title":"Progress or Regress? Self-Improvement Reversal in Post-training","created":"2024-07-06","cited_by_count":23,"area":"lr"},{"id":"2505.24098","title":"HardTests: Synthesizing High-Quality Test Cases for LLM Coding","created":"2025-05-30","cited_by_count":23,"area":"lr"},{"id":"2410.09335","title":"Rethinking Data Selection at Scale: Random Selection is Almost All You Need","created":"2024-10-12","cited_by_count":22,"area":"lr"},{"id":"2504.10358","title":"FingER: Content Aware Fine-grained Evaluation with Reasoning for AI-Generated Videos","created":"2025-04-14","cited_by_count":22,"area":"lr"},{"id":"2412.15118","title":"Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation","created":"2024-12-19","cited_by_count":21,"area":"lr"},{"id":"2501.18533","title":"Rethinking Bottlenecks in Safety Fine-Tuning of Vision Language Models","created":"2025-01-30","cited_by_count":21,"area":"lr"},{"id":"2502.20790","title":"Chain-of-Thought Matters: Improving Long-Context Language Models with Reasoning Path Supervision","created":"2025-02-28","cited_by_count":21,"area":"lr"},{"id":"2505.14268","title":"Think-J: Learning to Think for Generative LLM-as-a-Judge","created":"2025-05-20","cited_by_count":21,"area":"lr"},{"id":"2505.23794","title":"R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning","created":"2025-05-26","cited_by_count":20,"area":"lr"},{"id":"2511.11025","title":"AirCopBench: A Benchmark for Multi-drone Collaborative Embodied Perception and Reasoning","created":"2025-11-14","cited_by_count":20,"area":"lr"},{"id":"2410.17635","title":"Markov Chain of Thought for Efficient Mathematical Reasoning","created":"2024-10-23","cited_by_count":19,"area":"lr"},{"id":"2411.06655","title":"Explore the Reasoning Capability of LLMs in the Chess Testbed","created":"2024-11-11","cited_by_count":19,"area":"lr"},{"id":"2502.18906","title":"VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model","created":"2025-02-26","cited_by_count":19,"area":"lr"},{"id":"2508.13587","title":"Breaking the SFT Plateau: Multimodal Structured Reinforcement Learning for Chart-to-Code Generation","created":"2025-08-19","cited_by_count":19,"area":"lr"},{"id":"2510.06917","title":"SHANKS: Simultaneous Hearing and Thinking for Spoken Language Models","created":"2025-10-08","cited_by_count":19,"area":"lr"},{"id":"2410.02108","title":"ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement","created":"2024-10-03","cited_by_count":18,"area":"lr"},{"id":"2505.22457","title":"Fostering Video Reasoning via Next-Event Prediction","created":"2025-05-28","cited_by_count":18,"area":"lr"},{"id":"2510.07300","title":"Think Natively: Unlocking Multilingual Reasoning with Consistency-Enhanced Reinforcement Learning","created":"2025-10-08","cited_by_count":18,"area":"lr"},{"id":"2411.11930","title":"AtomThink: Multimodal Slow Thinking with Atomic Step Reasoning","created":"2024-11-18","cited_by_count":17,"area":"lr"},{"id":"2503.04381","title":"TRACT: Regression-Aware Fine-tuning Meets Chain-of-Thought Reasoning for LLM-as-a-Judge","created":"2025-03-06","cited_by_count":17,"area":"lr"},{"id":"2503.06580","title":"Agent models: Internalizing Chain-of-Action Generation into Reasoning models","created":"2025-03-09","cited_by_count":17,"area":"lr"},{"id":"2506.01413","title":"Incentivizing Reasoning for Advanced Instruction-Following of Large Language Models","created":"2025-06-02","cited_by_count":17,"area":"lr"},{"id":"2406.16655","title":"Large Language Models Are Cross-Lingual Knowledge-Free Reasoners","created":"2024-06-24","cited_by_count":16,"area":"lr"},{"id":"2502.12583","title":"LongFaith: Enhancing Long-Context Reasoning in LLMs with Faithful Synthetic Data","created":"2025-02-18","cited_by_count":16,"area":"lr"},{"id":"2504.15362","title":"LongPerceptualThoughts: Distilling System-2 Reasoning for System-1 Perception","created":"2025-04-21","cited_by_count":16,"area":"lr"},{"id":"2505.15257","title":"When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners","created":"2025-05-21","cited_by_count":16,"area":"lr"},{"id":"2506.00391","title":"SHARE: An SLM-based Hierarchical Action CorREction Assistant for Text-to-SQL","created":"2025-05-31","cited_by_count":16,"area":"lr"},{"id":"2507.06181","title":"CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization","created":"2025-07-08","cited_by_count":16,"area":"lr"},{"id":"2508.17784","title":"Proximal Supervised Fine-Tuning","created":"2025-08-25","cited_by_count":16,"area":"lr"},{"id":"2511.07403","title":"SpatialThinker: Reinforcing Scene Graph-Grounded Spatial Reasoning via Dense Rewards","created":"2025-11-10","cited_by_count":16,"area":"lr"},{"id":"2502.04040","title":"Safety Reasoning with Guidelines","created":"2025-02-06","cited_by_count":15,"area":"lr"},{"id":"2505.02156","title":"Adaptive Social Learning via Mode Policy Optimization for Language Agents","created":"2025-05-04","cited_by_count":15,"area":"lr"},{"id":"2506.12860","title":"QFFT, Question-Free Fine-Tuning for Adaptive Reasoning","created":"2025-06-15","cited_by_count":15,"area":"lr"},{"id":"2508.11538","title":"Reinforcing Video Reasoning Segmentation to Think Before It Segments","created":"2025-08-15","cited_by_count":15,"area":"lr"},{"id":"2601.15224","title":"PROGRESSLM: Towards Progress Reasoning in Vision-Language Models","created":"2026-01-21","cited_by_count":15,"area":"lr"},{"id":"2502.13389","title":"Reasoning with Reinforced Functional Token Tuning","created":"2025-02-19","cited_by_count":14,"area":"lr"},{"id":"2506.01748","title":"Thinking in Character: Advancing Role-Playing Agents with Role-Aware Reasoning","created":"2025-06-02","cited_by_count":14,"area":"lr"},{"id":"2509.25866","title":"DeepSketcher: Internalizing Visual Manipulation for Multimodal Reasoning","created":"2025-09-30","cited_by_count":14,"area":"lr"},{"id":"2601.12294","title":"ToolPRMBench: Evaluating and Advancing Process Reward Models for Tool-using Agents","created":"2026-01-18","cited_by_count":14,"area":"lr"},{"id":"2506.04065","title":"Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning","created":"2025-06-04","cited_by_count":13,"area":"lr"},{"id":"2508.09804","title":"BigCharts-R1: Enhanced Chart Reasoning with Visual Reinforcement Finetuning","created":"2025-08-13","cited_by_count":13,"area":"lr"},{"id":"2508.12495","title":"Mitigating Hallucinations in Large Language Models via Causal Reasoning","created":"2025-08-17","cited_by_count":13,"area":"lr"},{"id":"2509.24473","title":"Euclid's Gift: Enhancing Spatial Perception and Reasoning in Vision-Language Models via Geometric Surrogate Tasks","created":"2025-09-29","cited_by_count":13,"area":"lr"},{"id":"2601.14249","title":"Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment","created":"2026-01-20","cited_by_count":13,"area":"lr"}],"next_cursor":"100"}