{"total":58,"rows":[{"id":"2503.21776","title":"Video-R1: Reinforcing Video Reasoning in MLLMs","created":"2025-03-27","cited_by_count":484,"area":"lr"},{"id":"2504.07491","title":"Kimi-VL Technical Report","created":"2025-04-10","cited_by_count":388,"area":"lr"},{"id":"2505.21374","title":"Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning?","created":"2025-05-27","cited_by_count":118,"area":"lr"},{"id":"2505.12434","title":"VideoRFT: Incentivizing Video Reasoning Capability in MLLMs via Reinforced Fine-Tuning","created":"2025-05-18","cited_by_count":93,"area":"lr"},{"id":"2508.04416","title":"Thinking With Videos: Multimodal Tool-Augmented Reinforcement Learning for Long Video Reasoning","created":"2025-08-06","cited_by_count":91,"area":"lr"},{"id":"2504.09641","title":"TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning","created":"2025-04-13","cited_by_count":62,"area":"lr"},{"id":"2506.07464","title":"DeepVideo-R1: Video Reinforcement Fine-Tuning via Difficulty-aware Regressive GRPO","created":"2025-06-09","cited_by_count":61,"area":"lr"},{"id":"2512.03043","title":"OneThinker: All-in-one Reasoning Model for Image and Video","created":"2025-12-02","cited_by_count":56,"area":"lr"},{"id":"2506.21277","title":"HumanOmniV2: From Understanding to Omni-Modal Reasoning with Context","created":"2025-06-26","cited_by_count":55,"area":"lr"},{"id":"2506.16141","title":"GRPO-CARE: Consistency-Aware Reinforcement Learning for Multimodal Reasoning","created":"2025-06-19","cited_by_count":47,"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":"2606.13392","title":"MiniMax Sparse Attention","created":"2026-06-11","cited_by_count":44,"area":"lr"},{"id":"2510.26802","title":"Are Video Models Ready as Zero-Shot Reasoners? An Empirical Study with the MME-CoF Benchmark","created":"2025-10-30","cited_by_count":43,"area":"lr"},{"id":"2504.07956","title":"VCR-Bench: A Comprehensive Evaluation Framework for Video Chain-of-Thought Reasoning","created":"2025-04-10","cited_by_count":42,"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":"2507.06485","title":"Video-RTS: Rethinking Reinforcement Learning and Test-Time Scaling for Efficient and Enhanced Video Reasoning","created":"2025-07-09","cited_by_count":33,"area":"lr"},{"id":"2505.24718","title":"Reinforcing Video Reasoning with Focused Thinking","created":"2025-05-30","cited_by_count":31,"area":"lr"},{"id":"2506.01725","title":"VideoCap-R1: Enhancing MLLMs for Video Captioning via Structured Thinking","created":"2025-06-02","cited_by_count":30,"area":"lr"},{"id":"2506.01908","title":"Reinforcement Learning Tuning for VideoLLMs: Reward Design and Data Efficiency","created":"2025-06-02","cited_by_count":26,"area":"lr"},{"id":"2506.05349","title":"VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Videos","created":"2025-06-05","cited_by_count":25,"area":"lr"},{"id":"2506.10857","title":"VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos","created":"2025-06-12","cited_by_count":24,"area":"lr"},{"id":"2503.20757","title":"MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search","created":"2025-03-26","cited_by_count":21,"area":"lr"},{"id":"2506.07180","title":"Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs","created":"2025-06-08","cited_by_count":21,"area":"lr"},{"id":"2505.23359","title":"VideoReasonBench: Can MLLMs Perform Vision-Centric Complex Video Reasoning?","created":"2025-05-29","cited_by_count":20,"area":"lr"},{"id":"2505.24869","title":"SiLVR: A Simple Language-based Video Reasoning Framework","created":"2025-05-30","cited_by_count":14,"area":"lr"},{"id":"2508.03100","title":"AVATAR: Reinforcement Learning to See, Hear, and Reason Over Video","created":"2025-08-05","cited_by_count":12,"area":"lr"},{"id":"2512.10359","title":"Tool-Augmented Spatiotemporal Reasoning for Streamlining Video Question Answering Task","created":"2025-12-11","cited_by_count":10,"area":"lr"},{"id":"2604.05546","title":"Efficient Inference for Large Vision-Language Models: Bottlenecks, Techniques, and Prospects","created":"2026-04-07","cited_by_count":9,"area":"lr"},{"id":"2510.05034","title":"Video-LMM Post-Training: A Deep Dive into Video Reasoning with Large Multimodal Models","created":"2025-10-06","cited_by_count":8,"area":"lr"},{"id":"2510.10104","title":"Answer-Consistent Chain-of-thought Reinforcement Learning For Multi-modal Large Langauge Models","created":"2025-10-11","cited_by_count":7,"area":"lr"},{"id":"2602.11455","title":"Credit Where It is Due: Cross-Modality Connectivity Drives Precise Reinforcement Learning for MLLM Reasoning","created":"2026-02-12","cited_by_count":6,"area":"lr"},{"id":"2510.11606","title":"ExpVid: A Benchmark for Experiment Video Understanding & Reasoning","created":"2025-10-13","cited_by_count":5,"area":"lr"},{"id":"2603.17024","title":"HopChain: Multi-Hop Data Synthesis for Generalizable Vision-Language Reasoning","created":"2026-03-17","cited_by_count":5,"area":"lr"},{"id":"2606.07433","title":"Watch, Remember, Reason: Human-View Video Understanding with MLLMs","created":"2026-06-05","cited_by_count":4,"area":"lr"},{"id":"2608.20492","title":"Annotations as Rollouts: Efficient and Scalable Reinforcement Learning for Video MLLMs","created":"2026-08-20","cited_by_count":4,"area":"lr"},{"id":"2601.00092","title":"Spatial4D-Bench: A Versatile 4D Spatial Intelligence Benchmark","created":"2025-12-31","cited_by_count":3,"area":"lr"},{"id":"2601.00887","title":"VideoCuRL: Video Curriculum Reinforcement Learning with Orthogonal Difficulty Decomposition","created":"2025-12-31","cited_by_count":3,"area":"lr"},{"id":"2604.01824","title":"STRIVE: Structured Spatiotemporal Exploration for Reinforcement Learning in Video Question Answering","created":"2026-04-02","cited_by_count":3,"area":"lr"},{"id":"2606.18216","title":"Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients","created":"2026-06-16","cited_by_count":3,"area":"lr"},{"id":"2510.17045","title":"Video Reasoning without Training","created":"2025-10-19","cited_by_count":2,"area":"lr"},{"id":"2512.00805","title":"Thinking with Drafts: Speculative Temporal Reasoning for Efficient Long Video Understanding","created":"2025-11-30","cited_by_count":2,"area":"lr"},{"id":"2605.01324","title":"Beyond Perceptual Shortcuts: Causal-Inspired Debiasing Optimization for Generalizable Video Reasoning in Lightweight MLLMs","created":"2026-05-02","cited_by_count":2,"area":"lr"},{"id":"2604.20473","title":"Video-ToC: Video Tree-of-Cue Reasoning","created":"2026-04-22","cited_by_count":1,"area":"lr"},{"id":"2605.07872","title":"Video Understanding Reward Modeling: A Robust Benchmark and Performant Reward Models","created":"2026-05-08","cited_by_count":1,"area":"lr"},{"id":"2605.26014","title":"STORM: Internalized Modeling for Spatial-Temporal Reasoning in Video-Language Models","created":"2026-05-25","cited_by_count":1,"area":"lr"},{"id":"2606.05736","title":"VTI-CoT: Visual-Textual Interleaved Chain of Thought for Video Reasoning","created":"2026-06-04","cited_by_count":1,"area":"lr"},{"id":"2606.18441","title":"Reasoning as Intersection: Consensus-Frame Alignment for Visual Focus in Video-MLLMs","created":"2026-06-16","cited_by_count":1,"area":"lr"},{"id":"2511.18463","title":"Decoupling Perception from Reasoning for Hallucination-Resistant Video Understanding","created":"2025-11-23","cited_by_count":0,"area":"lr"},{"id":"2603.08291","title":"A Survey of Multimodal Mathematical Reasoning: From Perception, Alignment to Reasoning","created":"2026-03-09","cited_by_count":0,"area":"lr"},{"id":"2605.19559","title":"EgoCoT-Bench: Benchmarking Grounded and Verifiable Operation-Centric Chain of Thought Reasoning for MLLMs","created":"2026-05-19","cited_by_count":0,"area":"lr"},{"id":"2606.11209","title":"ProcessThinker: Enhancing Multi-modal Large Language Models Reasoning via Rollout-based Process Reward","created":"2026-04-23","cited_by_count":0,"area":"lr"},{"id":"2606.22870","title":"VideoLatent: Video-Language Learning via Latent Self-Forcing","created":"2026-06-22","cited_by_count":0,"area":"lr"},{"id":"2608.04124","title":"Perception Before Reasoning: Dynamic Latent Reasoning for Video Understanding and Question Answering","created":"2026-08-04","cited_by_count":0,"area":"lr"},{"id":"2609.15606","title":"VideoScout: Learning Agentic Active Exploration with Adaptive Reasoning Pacing for Long Video Understanding","created":"2026-09-14","cited_by_count":0,"area":"lr"},{"id":"2609.17248","title":"Video-HolmesV2: Can MLLMs Reason with Spatio-Temporal Audio-Visual Evidence in Long Videos?","created":"2026-09-15","cited_by_count":0,"area":"lr"},{"id":"2609.39021","title":"Frame Differential On-Policy Self-Distillation for Video Reasoning","created":"2026-09-30","cited_by_count":0,"area":"lr"},{"id":"2610.03400","title":"Beyond Entropy: Self-Diagnostic Multi-Role Token Optimization for Video Reasoning","created":"2026-10-02","cited_by_count":0,"area":"lr"},{"id":"2610.13184","title":"AdaC-GRPO: Towards Mastering Long-Horizon Visual Sudoku Puzzles via Adaptive Curriculum Learning","created":"2026-10-09","cited_by_count":0,"area":"lr"}],"next_cursor":null}