{"total":68,"rows":[{"id":"2503.09567","title":"Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models","created":"2025-03-12","cited_by_count":384,"area":"lr"},{"id":"2504.08837","title":"VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning","created":"2025-04-10","cited_by_count":323,"area":"lr"},{"id":"2502.17419","title":"From System 1 to System 2: A Survey of Reasoning Large Language Models","created":"2025-02-24","cited_by_count":320,"area":"lr"},{"id":"2504.06958","title":"VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning","created":"2025-04-09","cited_by_count":255,"area":"lr"},{"id":"2503.12605","title":"Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey","created":"2025-03-16","cited_by_count":182,"area":"lr"},{"id":"2504.01805","title":"SpaceR: Reinforcing MLLMs in Video Spatial Reasoning","created":"2025-04-02","cited_by_count":159,"area":"lr"},{"id":"2502.09621","title":"MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency","created":"2025-02-13","cited_by_count":125,"area":"lr"},{"id":"2503.17352","title":"OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles","created":"2025-03-21","cited_by_count":124,"area":"lr"},{"id":"2501.11284","title":"RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?","created":"2025-01-20","cited_by_count":60,"area":"lr"},{"id":"2506.01713","title":"SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning","created":"2025-06-02","cited_by_count":57,"area":"lr"},{"id":"2507.03019","title":"Look-Back: Implicit Visual Re-focusing in MLLM Reasoning","created":"2025-07-02","cited_by_count":55,"area":"lr"},{"id":"2503.21696","title":"Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks","created":"2025-03-27","cited_by_count":44,"area":"lr"},{"id":"2502.13383","title":"MM-Verify: Enhancing Multimodal Reasoning with Chain-of-Thought Verification","created":"2025-02-19","cited_by_count":39,"area":"lr"},{"id":"2503.11314","title":"Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering","created":"2025-03-14","cited_by_count":36,"area":"lr"},{"id":"2505.05315","title":"Scalable Chain of Thoughts via Elastic Reasoning","created":"2025-05-08","cited_by_count":34,"area":"lr"},{"id":"2507.05255","title":"Open Vision Reasoner: Transferring Linguistic Cognitive Behavior for Visual Reasoning","created":"2025-07-07","cited_by_count":34,"area":"lr"},{"id":"2502.02871","title":"Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning","created":"2025-02-05","cited_by_count":33,"area":"lr"},{"id":"2505.21327","title":"MME-Reasoning: A Comprehensive Benchmark for Logical Reasoning in MLLMs","created":"2025-05-27","cited_by_count":33,"area":"lr"},{"id":"2503.23905","title":"Boosting MLLM Reasoning with Text-Debiased Hint-GRPO","created":"2025-03-31","cited_by_count":32,"area":"lr"},{"id":"2505.00551","title":"100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models","created":"2025-05-01","cited_by_count":30,"area":"lr"},{"id":"2502.02339","title":"AStar: Boosting Multimodal Reasoning with Automated Structured Thinking","created":"2025-02-04","cited_by_count":25,"area":"lr"},{"id":"2502.11775","title":"video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language Model","created":"2025-02-17","cited_by_count":24,"area":"lr"},{"id":"2503.18132","title":"MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection","created":"2025-03-23","cited_by_count":24,"area":"lr"},{"id":"2503.05255","title":"CMMCoT: Enhancing Complex Multi-Image Comprehension via Multi-Modal Chain-of-Thought and Memory Augmentation","created":"2025-03-07","cited_by_count":23,"area":"lr"},{"id":"2505.24238","title":"MIRAGE: Assessing Hallucination in Multimodal Reasoning Chains of MLLM","created":"2025-05-30","cited_by_count":17,"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":"2505.19213","title":"Improving Medical Reasoning with Curriculum-Aware Reinforcement Learning","created":"2025-05-25","cited_by_count":16,"area":"lr"},{"id":"2504.13828","title":"Generative AI Act II: Test Time Scaling Drives Cognition Engineering","created":"2025-04-18","cited_by_count":15,"area":"lr"},{"id":"2506.01078","title":"GThinker: Towards General Multimodal Reasoning via Cue-Guided Rethinking","created":"2025-06-01","cited_by_count":15,"area":"lr"},{"id":"2509.18056","title":"TempSamp-R1: Effective Temporal Sampling with Reinforcement Fine-Tuning for Video LLMs","created":"2025-09-22","cited_by_count":15,"area":"mllm"},{"id":"2505.16836","title":"Fact-R1: Towards Explainable Video Misinformation Detection with Deep Reasoning","created":"2025-05-22","cited_by_count":14,"area":null},{"id":"2505.18536","title":"Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models","created":"2025-05-24","cited_by_count":14,"area":"lr"},{"id":"2505.19406","title":"Unveiling the Compositional Ability Gap in Vision-Language Reasoning Model","created":"2025-05-26","cited_by_count":14,"area":"lr"},{"id":"2505.17697","title":"Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models","created":"2025-05-23","cited_by_count":13,"area":"lr"},{"id":"2508.12680","title":"Vision-G1: Towards General Vision Language Reasoning with Multi-Domain Data Curation","created":"2025-08-18","cited_by_count":13,"area":"lr"},{"id":"2510.12225","title":"HoneyBee: Data Recipes for Vision-Language Reasoners","created":"2025-10-14","cited_by_count":13,"area":"lr"},{"id":"2507.07562","title":"The Synergy Dilemma of Long-CoT SFT and RL: Investigating Post-Training Techniques for Reasoning VLMs","created":"2025-07-10","cited_by_count":12,"area":"lr"},{"id":"2604.12890","title":"Towards Long-horizon Agentic Multimodal Search","created":"2026-04-14","cited_by_count":11,"area":"agents"},{"id":"2603.02556","title":"Through the Lens of Contrast: Self-Improving Visual Reasoning in VLMs","created":"2026-03-03","cited_by_count":10,"area":"lr"},{"id":"2503.16965","title":"Praxis-VLM: Vision-Grounded Decision Making via Text-Driven Reinforcement Learning","created":"2025-03-21","cited_by_count":9,"area":"lr"},{"id":"2503.23219","title":"Aurelia: Test-time Reasoning Distillation in Audio-Visual LLMs","created":"2025-03-29","cited_by_count":9,"area":"lr"},{"id":"2504.14642","title":"Relation-R1: Progressively Cognitive Chain-of-Thought Guided Reinforcement Learning for Unified Relation Comprehension","created":"2025-04-20","cited_by_count":9,"area":"lr"},{"id":"2508.04852","title":"VER-Bench: Evaluating MLLMs on Reasoning with Fine-Grained Visual Evidence","created":"2025-08-06","cited_by_count":9,"area":"lr"},{"id":"2512.14044","title":"OmniDrive-R1: Reinforcement-driven Interleaved Multi-modal Chain-of-Thought for Trustworthy Vision-Language Autonomous Driving","created":"2025-12-16","cited_by_count":9,"area":"lr"},{"id":"2507.16814","title":"Semi-off-Policy Reinforcement Learning for Vision-Language Slow-Thinking Reasoning","created":"2025-07-22","cited_by_count":8,"area":"lr"},{"id":"2511.22586","title":"Revisiting the Necessity of Lengthy Chain-of-Thought in Vision-centric Reasoning Generalization","created":"2025-11-27","cited_by_count":8,"area":"lr"},{"id":"2509.22746","title":"Mixture-of-Visual-Thoughts: Exploring Context-Adaptive Reasoning Mode Selection for General Visual Reasoning","created":"2025-09-26","cited_by_count":7,"area":"lr"},{"id":"2601.04442","title":"Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization","created":"2026-01-07","cited_by_count":6,"area":"lr"},{"id":"2506.08927","title":"Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions","created":"2025-06-10","cited_by_count":5,"area":"lr"},{"id":"2511.17910","title":"L2V-CoT: Cross-Modal Transfer of Chain-of-Thought Reasoning via Latent Intervention","created":"2025-11-22","cited_by_count":5,"area":"lr"},{"id":"2503.22208","title":"DeepSound-V1: Start to Think Step-by-Step in the Audio Generation from Videos","created":"2025-03-28","cited_by_count":4,"area":"lr"},{"id":"2507.11936","title":"A Survey of Deep Learning for Geometry Problem Solving","created":"2025-07-16","cited_by_count":4,"area":"lr"},{"id":"2602.21743","title":"Enhancing Multi-Modal LLMs Reasoning via Difficulty-Aware Group Normalization","created":"2026-02-25","cited_by_count":4,"area":"lr"},{"id":"2505.19611","title":"Align and Surpass Human Camouflaged Perception: Visual Refocus Reinforcement Fine-Tuning","created":"2025-05-26","cited_by_count":3,"area":null},{"id":"2510.08964","title":"Unleashing Perception-Time Scaling to Multimodal Reasoning Models","created":"2025-10-10","cited_by_count":3,"area":"lr"},{"id":"2604.24339","title":"See Further, Think Deeper: Advancing VLM's Reasoning Ability with Low-level Visual Cues and Reflection","created":"2026-04-27","cited_by_count":3,"area":"lr"},{"id":"2608.09682","title":"Thinking With Tools, Not With Pixels: Tool Calls as Text Scaffolds for Visual Reasoning","created":"2026-08-10","cited_by_count":3,"area":"lr"},{"id":"2510.18303","title":"Proactive Reasoning-with-Retrieval Framework for Medical Multimodal Large Language Models","created":"2025-10-21","cited_by_count":2,"area":"lr"},{"id":"2511.05705","title":"Long Grounded Thoughts: Synthesizing Visual Problems and Reasoning Chains at Scale","created":"2025-11-07","cited_by_count":2,"area":"lr"},{"id":"2503.22985","title":"FReM: A Flexible Reasoning Mechanism for Balancing Quick and Slow Thinking in Long-Context Question Answering","created":"2025-03-29","cited_by_count":1,"area":"lr"},{"id":"2511.12861","title":"From Perception to Reasoning: Deep Thinking Empowers Multimodal Large Language Models","created":"2025-11-17","cited_by_count":1,"area":"lr"},{"id":"2512.03463","title":"Text-Printed Image: Bridging the Image-Text Modality Gap for Text-centric Training of Large Vision-Language Models","created":"2025-12-03","cited_by_count":1,"area":"mllm"},{"id":"2602.14518","title":"Diagnosing Knowledge Conflict in Multimodal Long-Chain Reasoning","created":"2026-02-16","cited_by_count":1,"area":"lr"},{"id":"2602.20197","title":"Controllable Exploration in Hybrid-Policy RLVR for Multi-Modal Reasoning","created":"2026-02-22","cited_by_count":1,"area":"lr"},{"id":"2607.01707","title":"LASER: A Corrective Lens for LVLMs via Visual Attention Preservation and Sink Suppression","created":"2026-07-02","cited_by_count":1,"area":"lr"},{"id":"2512.07474","title":"Living the Novel: A System for Generating Self-Training Timeline-Aware Conversational Agents from Novels","created":"2025-12-08","cited_by_count":0,"area":"agents"},{"id":"2603.16088","title":"RecBundle: A Next-Generation Geometric Paradigm for Explainable Recommender Systems","created":"2026-03-17","cited_by_count":0,"area":null},{"id":"2609.31140","title":"Can Linguistic Reasoning Vectors Enhance Multimodal Reasoning Ability?","created":"2026-09-25","cited_by_count":0,"area":"lr"}],"next_cursor":null}