{"total":80,"rows":[{"id":"2509.24251","title":"Latent Visual Reasoning","created":"2025-09-29","cited_by_count":104,"area":"lr"},{"id":"2510.08531","title":"SpatialLadder: Progressive Training for Spatial Reasoning in Vision-Language Models","created":"2025-10-09","cited_by_count":90,"area":"lr"},{"id":"2505.11409","title":"Visual Planning: Let's Think Only with Images","created":"2025-05-16","cited_by_count":85,"area":"lr"},{"id":"2505.14231","title":"UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement Learning","created":"2025-05-20","cited_by_count":84,"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":"2507.03019","title":"Look-Back: Implicit Visual Re-focusing in MLLM Reasoning","created":"2025-07-02","cited_by_count":55,"area":"lr"},{"id":"2505.20272","title":"Ground-R1: Incentivizing Grounded Visual Reasoning via Reinforcement Learning","created":"2025-05-26","cited_by_count":49,"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":"2505.22334","title":"Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start","created":"2025-05-28","cited_by_count":41,"area":"lr"},{"id":"2505.11404","title":"Patho-R1: A Multimodal Reinforcement Learning-Based Pathology Expert Reasoner","created":"2025-05-16","cited_by_count":40,"area":"lr"},{"id":"2510.09285","title":"Spotlight on Token Perception for Multimodal Reinforcement Learning","created":"2025-10-10","cited_by_count":39,"area":"lr"},{"id":"2505.23590","title":"Jigsaw-R1: A Study of Rule-based Visual Reinforcement Learning with Jigsaw Puzzles","created":"2025-05-29","cited_by_count":36,"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":"2505.18129","title":"One RL to See Them All: Visual Triple Unified Reinforcement Learning","created":"2025-05-23","cited_by_count":30,"area":"lr"},{"id":"2505.24863","title":"AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time","created":"2025-05-30","cited_by_count":29,"area":"lr"},{"id":"2506.04034","title":"Rex-Thinker: Grounded Object Referring via Chain-of-Thought Reasoning","created":"2025-06-04","cited_by_count":26,"area":"lr"},{"id":"2512.16584","title":"Sketch-in-Latents: Eliciting Unified Reasoning in MLLMs","created":"2025-12-18","cited_by_count":25,"area":"lr"},{"id":"2505.17540","title":"RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning","created":"2025-05-23","cited_by_count":23,"area":"lr"},{"id":"2506.07905","title":"WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning","created":"2025-06-09","cited_by_count":21,"area":"lr"},{"id":"2508.14153","title":"LENS: Learning to Segment Anything with Unified Reinforced Reasoning","created":"2025-08-19","cited_by_count":18,"area":"lr"},{"id":"2509.13031","title":"Perception Before Reasoning: Two-Stage Reinforcement Learning for Visual Reasoning in Vision-Language Models","created":"2025-09-16","cited_by_count":17,"area":"lr"},{"id":"2511.19773","title":"Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs","created":"2025-11-24","cited_by_count":17,"area":"lr"},{"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":"2510.02745","title":"Retrv-R1: A Reasoning-Driven MLLM Framework for Universal and Efficient Multimodal Retrieval","created":"2025-10-03","cited_by_count":12,"area":"lr"},{"id":"2603.13366","title":"Thinking in Uncertainty: Mitigating Hallucinations in MLRMs with Latent Entropy-Aware Decoding","created":"2026-03-09","cited_by_count":12,"area":"lr"},{"id":"2506.14907","title":"PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning","created":"2025-06-17","cited_by_count":11,"area":"lr"},{"id":"2507.00748","title":"Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning","created":"2025-07-01","cited_by_count":11,"area":"lr"},{"id":"2510.01304","title":"Agentic Jigsaw Interaction Learning for Enhancing Visual Perception and Reasoning in Vision-Language Models","created":"2025-10-01","cited_by_count":11,"area":"lr"},{"id":"2510.06871","title":"SaFeR-VLM: Toward Safety-aware Fine-grained Reasoning in Multimodal Models","created":"2025-10-08","cited_by_count":10,"area":"lr"},{"id":"2511.23478","title":"Video-R2: Reinforcing Consistent and Grounded Reasoning in Multimodal Language Models","created":"2025-11-28","cited_by_count":10,"area":"lr"},{"id":"2601.10094","title":"V-Zero: Self-Improving Multimodal Reasoning with Zero Annotation","created":"2026-01-15","cited_by_count":10,"area":"lr"},{"id":"2509.21854","title":"Perception-Consistency Multimodal Large Language Models Reasoning via Caption-Regularized Policy Optimization","created":"2025-09-26","cited_by_count":9,"area":"lr"},{"id":"2510.11173","title":"CoPRS: Learning Positional Prior from Chain-of-Thought for Reasoning Segmentation","created":"2025-10-13","cited_by_count":9,"area":"lr"},{"id":"2512.02361","title":"VACoT: Rethinking Visual Data Augmentation with VLMs","created":"2025-12-02","cited_by_count":9,"area":"lr"},{"id":"2602.00181","title":"CamReasoner: Reinforcing Camera Movement Understanding via Structured Spatial Reasoning","created":"2026-01-30","cited_by_count":9,"area":"lr"},{"id":"2603.22847","title":"Rethinking Token-Level Policy Optimization for Multimodal Chain-of-Thought","created":"2026-03-24","cited_by_count":9,"area":"lr"},{"id":"2511.11113","title":"VIDEOP2R: Video Understanding from Perception to Reasoning","created":"2025-11-14","cited_by_count":8,"area":"lr"},{"id":"2601.06993","title":"Can Textual Reasoning Improve the Performance of MLLMs on Fine-grained Visual Classification?","created":"2026-01-11","cited_by_count":8,"area":"lr"},{"id":"2603.03825","title":"From Narrow to Panoramic Vision: Attention-Guided Cold-Start Reshapes Multimodal Reasoning","created":"2026-03-04","cited_by_count":8,"area":"lr"},{"id":"2603.05869","title":"PatchCue: Enhancing Vision-Language Model Reasoning with Patch-Based Visual Cues","created":"2026-03-06","cited_by_count":8,"area":"lr"},{"id":"2508.05383","title":"StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models","created":"2025-08-07","cited_by_count":6,"area":"lr"},{"id":"2601.02918","title":"Zoom-IQA: Image Quality Assessment with Reliable Region-Aware Reasoning","created":"2026-01-06","cited_by_count":6,"area":"lr"},{"id":"2510.21978","title":"Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models","created":"2025-10-24","cited_by_count":5,"area":"lr"},{"id":"2512.17227","title":"Learning When to Look: A Disentangled Curriculum for Strategic Perception in Multimodal Reasoning","created":"2025-12-19","cited_by_count":5,"area":"lr"},{"id":"2603.06652","title":"PaLMR: Towards Faithful Visual Reasoning via Multimodal Process Alignment","created":"2026-02-28","cited_by_count":5,"area":"lr"},{"id":"2603.14117","title":"Improving Visual Reasoning with Iterative Evidence Refinement","created":"2026-03-14","cited_by_count":5,"area":"lr"},{"id":"2604.14568","title":"Learning Adaptive Reasoning Paths for Efficient Visual Reasoning","created":"2026-04-16","cited_by_count":5,"area":"lr"},{"id":"2606.08708","title":"PRPO: Perception-Reinforced Policy Optimization via Token-Level Dynamic Advantage Reshaping","created":"2026-06-07","cited_by_count":5,"area":"lr"},{"id":"2602.06040","title":"SwimBird: Eliciting Switchable Reasoning Mode in Hybrid Autoregressive MLLMs","created":"2026-02-05","cited_by_count":4,"area":"lr"},{"id":"2602.12395","title":"What does RL improve for Visual Reasoning? A Frankenstein-Style Analysis","created":"2026-02-12","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":"2604.24583","title":"Improving Vision-language Models with Perception-centric Process Reward Models","created":"2026-04-27","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":"2512.12633","title":"DiG: Differential Grounding for Enhancing Fine-Grained Perception in Multimodal Large Language Model","created":"2025-12-14","cited_by_count":3,"area":"lr"},{"id":"2603.00152","title":"Dr. Seg: Revisiting GRPO Training for Visual Large Language Models through Perception-Oriented Design","created":"2026-02-25","cited_by_count":3,"area":"lr"},{"id":"2603.10757","title":"CodePercept: Code-Grounded Visual STEM Perception for MLLMs","created":"2026-03-11","cited_by_count":3,"area":"lr"},{"id":"2605.12163","title":"Self-Consistent Latent Reasoning: Long Latent Sequence Reasoning for Vision-Language Model","created":"2026-05-12","cited_by_count":3,"area":"lr"},{"id":"2607.01191","title":"Perceive-to-Reason: Decoupling Perception and Reasoning for Fine-Grained Visual Reasoning","created":"2026-07-01","cited_by_count":3,"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":"2512.18571","title":"ESearch-R1: Learning Cost-Aware MLLM Agents for Interactive Embodied Search via Reinforcement Learning","created":"2025-12-21","cited_by_count":2,"area":"lr"},{"id":"2604.20705","title":"SSL-R1: Self-Supervised Visual Reinforcement Post-Training for Multimodal Large Language Models","created":"2026-04-22","cited_by_count":2,"area":"lr"},{"id":"2512.06663","title":"CoT4Det: A Chain-of-Thought Framework for Perception-Oriented Vision-Language Tasks","created":"2025-12-07","cited_by_count":1,"area":"lr"},{"id":"2603.19779","title":"One Model, Two Minds: Task-Conditioned Reasoning for Unified Image Quality and Aesthetic Assessment","created":"2026-03-20","cited_by_count":1,"area":"lr"},{"id":"2603.26126","title":"Beyond Where to Look: Trajectory-Guided Reinforcement Learning for Multimodal RLVR","created":"2026-03-27","cited_by_count":1,"area":"lr"},{"id":"2605.14068","title":"CurveBench: A Benchmark for Exact Topological Reasoning over Nested Jordan Curves","created":"2026-05-13","cited_by_count":1,"area":"lr"},{"id":"2609.39183","title":"Aligning Thoughts with Answers: Probability Rewards to Tame Thinking Drift","created":"2026-09-30","cited_by_count":1,"area":"lr"},{"id":"2510.21807","title":"Activating Visual Context and Commonsense Reasoning through Masked Prediction in VLMs","created":"2025-10-21","cited_by_count":0,"area":"lr"},{"id":"2512.06276","title":"RefBench-PRO: Perceptual and Reasoning Oriented Benchmark for Referring Expression Comprehension","created":"2025-12-06","cited_by_count":0,"area":"lr"},{"id":"2512.24404","title":"Lifting Vision: Ground to Aerial Localization with Reasoning Guided Planning","created":"2025-12-30","cited_by_count":0,"area":"lr"},{"id":"2601.14610","title":"Learning Consistent Taxonomic Classification through Hierarchical Reasoning","created":"2026-01-21","cited_by_count":0,"area":"lr"},{"id":"2603.10300","title":"From Imitation to Intuition: Intrinsic Reasoning for Open-Instance Video Classification","created":"2026-03-11","cited_by_count":0,"area":"lr"},{"id":"2605.18903","title":"Reasoning Portability: Guiding Continual Learning for MLLMs in the RLVR Era","created":"2026-05-17","cited_by_count":0,"area":"lr"},{"id":"2605.29198","title":"Guidance Contrastive Token Credit Assignment for Discrete Policy Optimization","created":"2026-05-28","cited_by_count":0,"area":"lr"},{"id":"2605.31096","title":"iVGR: Internalizing Visually Grounded Reasoning for MLLMs with Reinforcement Learning","created":"2026-05-29","cited_by_count":0,"area":"lr"},{"id":"2607.03530","title":"MentalThink: Shaping Thoughts in Mental SVG World","created":"2026-07-03","cited_by_count":0,"area":"lr"},{"id":"2608.12220","title":"SCOUT: Unlocking Enhanced Spatial Reasoning via Structured Chain-of-Thought and Multi-Objective Process Reward","created":"2026-08-12","cited_by_count":0,"area":"lr"},{"id":"2609.03729","title":"Unfold The World: Factorize 4D Properties in Reinforcing Spatial Reasoning","created":"2026-09-03","cited_by_count":0,"area":"lr"},{"id":"2609.24244","title":"Look Where It Counts: A Free, Label-Free Visual Evidence Signal for Fine-Grained Vision-Language Reasoning","created":"2026-09-21","cited_by_count":0,"area":"lr"},{"id":"2609.35942","title":"Question-Specific Knowledge Graphs for Efficient Visual Reasoning","created":"2026-09-28","cited_by_count":0,"area":"lr"},{"id":"2610.14265","title":"Thinking with Images without Coordinates","created":"2026-10-09","cited_by_count":0,"area":"lr"}],"next_cursor":null}