{"total":91,"rows":[{"id":"2412.05271","title":"Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling","created":"2024-12-06","cited_by_count":1599,"area":"lr"},{"id":"2508.18265","title":"InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency","created":"2025-08-25","cited_by_count":1510,"area":"lr"},{"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":"2503.07365","title":"MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning","created":"2025-03-10","cited_by_count":303,"area":"lr"},{"id":"2503.10291","title":"VisualPRM: An Effective Process Reward Model for Multimodal Reasoning","created":"2025-03-13","cited_by_count":139,"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":"2505.04921","title":"Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models","created":"2025-05-08","cited_by_count":90,"area":"lr"},{"id":"2504.13055","title":"NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation","created":"2025-04-17","cited_by_count":86,"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":"2506.11991","title":"VGR: Visual Grounded Reasoning","created":"2025-06-13","cited_by_count":73,"area":"lr"},{"id":"2501.04686","title":"Unlocking Multimodal Mathematical Reasoning via Process Reward Model","created":"2025-01-08","cited_by_count":65,"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":"2504.16656","title":"Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning","created":"2025-04-23","cited_by_count":49,"area":"lr"},{"id":"2506.05331","title":"MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning","created":"2025-06-05","cited_by_count":49,"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":"2412.04447","title":"EgoPlan-Bench2: A Benchmark for Multimodal Large Language Model Planning in Real-World Scenarios","created":"2024-12-05","cited_by_count":41,"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":"2506.18234","title":"Drive-R1: Bridging Reasoning and Planning in VLMs for Autonomous Driving with Reinforcement Learning","created":"2025-06-23","cited_by_count":38,"area":"lr"},{"id":"2503.19312","title":"ImageGen-CoT: Enhancing Text-to-Image In-context Learning with Chain-of-Thought Reasoning","created":"2025-03-25","cited_by_count":37,"area":"lr"},{"id":"2502.12468","title":"MCTS-Judge: Test-Time Scaling in LLM-as-a-Judge for Code Correctness Evaluation","created":"2025-02-18","cited_by_count":32,"area":"lr"},{"id":"2506.21656","title":"Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMs","created":"2025-06-26","cited_by_count":32,"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":"2505.13427","title":"MM-PRM: Enhancing Multimodal Mathematical Reasoning with Scalable Step-Level Supervision","created":"2025-05-19","cited_by_count":31,"area":"lr"},{"id":"2412.12932","title":"CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models","created":"2024-12-17","cited_by_count":30,"area":"lr"},{"id":"2505.23558","title":"Qwen Look Again: Guiding Vision-Language Reasoning Models to Re-attention Visual Information","created":"2025-05-29","cited_by_count":28,"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":"2504.12597","title":"GeoSense: Evaluating Identification and Application of Geometric Principles in Multimodal Reasoning","created":"2025-04-17","cited_by_count":25,"area":"lr"},{"id":"2502.11492","title":"Why Vision Language Models Struggle with Visual Arithmetic? Towards Enhanced Chart and Geometry Understanding","created":"2025-02-17","cited_by_count":24,"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":"2502.06773","title":"On the Emergence of Thinking in LLMs I: Searching for the Right Intuition","created":"2025-02-10","cited_by_count":22,"area":"lr"},{"id":"2503.18071","title":"Mind with Eyes: from Language Reasoning to Multimodal Reasoning","created":"2025-03-23","cited_by_count":22,"area":"lr"},{"id":"2506.04280","title":"Evaluating MLLMs with Multimodal Multi-image Reasoning Benchmark","created":"2025-06-04","cited_by_count":21,"area":"lr"},{"id":"2510.00054","title":"HiDe: Rethinking The Zoom-IN method in High Resolution MLLMs via Hierarchical Decoupling","created":"2025-09-28","cited_by_count":17,"area":"lr"},{"id":"2506.09532","title":"Athena: Enhancing Multimodal Reasoning with Data-efficient Process Reward Models","created":"2025-06-11","cited_by_count":16,"area":"lr"},{"id":"2504.05782","title":"MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language Models","created":"2025-04-08","cited_by_count":15,"area":"lr"},{"id":"2505.17534","title":"Co-Reinforcement Learning for Unified Multimodal Understanding and Generation","created":"2025-05-23","cited_by_count":15,"area":"lr"},{"id":"2505.20241","title":"DreamPRM: Domain-Reweighted Process Reward Model for Multimodal Reasoning","created":"2025-05-26","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":"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":"2505.23381","title":"AutoGPS: Automated Geometry Problem Solving via Multimodal Formalization and Deductive Reasoning","created":"2025-05-29","cited_by_count":14,"area":"lr"},{"id":"2506.23563","title":"MMReason: An Open-Ended Multi-Modal Multi-Step Reasoning Benchmark for MLLMs Toward AGI","created":"2025-06-30","cited_by_count":14,"area":"lr"},{"id":"2507.03483","title":"BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset","created":"2025-07-04","cited_by_count":12,"area":"lr"},{"id":"2505.12504","title":"CPGD: Toward Stable Rule-based Reinforcement Learning for Language Models","created":"2025-05-18","cited_by_count":11,"area":"lr"},{"id":"2506.04755","title":"Truth in the Few: High-Value Data Selection for Efficient Multi-Modal Reasoning","created":"2025-06-05","cited_by_count":11,"area":"lr"},{"id":"2507.07424","title":"Corvid: Improving Multimodal Large Language Models Towards Chain-of-Thought Reasoning","created":"2025-07-10","cited_by_count":11,"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":"2506.07936","title":"Mimicking or Reasoning: Rethinking Multi-Modal In-Context Learning in Vision-Language Models","created":"2025-06-09","cited_by_count":8,"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":"2506.02537","title":"VisuRiddles: Fine-grained Perception is a Primary Bottleneck for Multimodal Large Language Models in Abstract Visual Reasoning","created":"2025-06-03","cited_by_count":7,"area":"lr"},{"id":"2506.11571","title":"VFaith: Do Large Multimodal Models Really Reason on Seen Images Rather than Previous Memories?","created":"2025-06-13","cited_by_count":7,"area":"lr"},{"id":"2505.23118","title":"Elicit and Enhance: Advancing Multimodal Reasoning in Medical Scenarios","created":"2025-05-29","cited_by_count":6,"area":"lr"},{"id":"2505.24182","title":"Seeing is Not Reasoning: MVPBench for Graph-based Evaluation of Multi-path Visual Physical CoT","created":"2025-05-30","cited_by_count":6,"area":"lr"},{"id":"2506.01676","title":"K12Vista: Exploring the Boundaries of MLLMs in K-12 Education","created":"2025-06-02","cited_by_count":6,"area":"lr"},{"id":"2509.19003","title":"Unveiling Chain of Step Reasoning for Vision-Language Models with Fine-grained Rewards","created":"2025-09-23","cited_by_count":6,"area":"lr"},{"id":"2605.20177","title":"From Seeing to Thinking: Decoupling Perception and Reasoning Improves Post-Training of Vision-Language Models","created":"2026-05-19","cited_by_count":6,"area":"lr"},{"id":"2512.07132","title":"DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning","created":"2025-12-08","cited_by_count":5,"area":"lr"},{"id":"2602.21628","title":"RuCL: Stratified Rubric-Based Curriculum Learning for Multimodal Large Language Model Reasoning","created":"2026-02-25","cited_by_count":5,"area":"lr"},{"id":"2602.22963","title":"FactGuard: Agentic Video Misinformation Detection via Reinforcement Learning","created":"2026-02-26","cited_by_count":5,"area":"lr"},{"id":"2509.24837","title":"ZOO-Prune: Training-Free Token Pruning via Zeroth-Order Gradient Estimation in Vision-Language Models","created":"2025-09-29","cited_by_count":4,"area":"lr"},{"id":"2603.27593","title":"STRIDE: When to Speak Meets Sequence Denoising for Streaming Video Understanding","created":"2026-03-29","cited_by_count":4,"area":"lr"},{"id":"2510.27448","title":"GeoFM: Enhancing Geometric Reasoning of MLLMs via Synthetic Data Generation through Formal Language","created":"2025-10-31","cited_by_count":3,"area":"lr"},{"id":"2603.01683","title":"Surgical Post-Training: Proximal On-Policy Distillation for Reasoning with Knowledge Retention","created":"2026-03-02","cited_by_count":3,"area":"lr"},{"id":"2606.02578","title":"Mitigating Perceptual Judgment Bias in Multimodal LLM-as-a-Judge via Perceptual Perturbation and Reward Modeling","created":"2026-06-01","cited_by_count":3,"area":"lr"},{"id":"2505.19100","title":"ASPO: Adaptive Sentence-Level Preference Optimization for Fine-Grained Multimodal Reasoning","created":"2025-05-25","cited_by_count":2,"area":"lr"},{"id":"2507.22929","title":"EH-Benchmark Ophthalmic Hallucination Benchmark and Agent-Driven Top-Down Traceable Reasoning Workflow","created":"2025-07-24","cited_by_count":2,"area":"lr"},{"id":"2510.14387","title":"Can MLLMs Absorb Math Reasoning Abilities from LLMs as Free Lunch?","created":"2025-10-16","cited_by_count":2,"area":"lr"},{"id":"2604.16557","title":"S-GRPO: Unified Post-Training for Large Vision-Language Models","created":"2026-04-17","cited_by_count":2,"area":"lr"},{"id":"2505.11141","title":"Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans","created":"2025-05-16","cited_by_count":1,"area":"lr"},{"id":"2507.07297","title":"MagiC: Evaluating Multimodal Cognition Toward Grounded Visual Reasoning","created":"2025-07-09","cited_by_count":1,"area":"lr"},{"id":"2509.05542","title":"DreamPRM-1.5: Unlocking the Potential of Each Instance for Multimodal Process Reward Model Training","created":"2025-09-05","cited_by_count":1,"area":"lr"},{"id":"2509.19203","title":"Vision-Free Retrieval: Rethinking Multimodal Search with Textual Scene Descriptions","created":"2025-09-23","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":"2602.04145","title":"Training Data Efficiency in Multimodal Process Reward Models","created":"2026-02-04","cited_by_count":1,"area":"lr"},{"id":"2604.27604","title":"Decoding Scientific Experimental Images: The SPUR Benchmark for Perception, Understanding, and Reasoning","created":"2026-04-30","cited_by_count":1,"area":"lr"},{"id":"2605.16999","title":"Ranking-Aware Calibration for Reliable Multimodal Reinforcement Learning","created":"2026-05-16","cited_by_count":1,"area":"lr"},{"id":"2504.04781","title":"OCC-MLLM-CoT-Alpha: Towards Multi-stage Occlusion Recognition Based on Large Language Models via 3D-Aware Supervision and Chain-of-Thoughts Guidance","created":"2025-04-07","cited_by_count":0,"area":"lr"},{"id":"2506.18048","title":"CLGRPO: Reasoning Ability Enhancement for Small VLMs","created":"2025-06-22","cited_by_count":0,"area":"lr"},{"id":"2509.14171","title":"AssoCiAm: A Benchmark for Evaluating Association Thinking while Circumventing Ambiguity","created":"2025-09-17","cited_by_count":0,"area":"lr"},{"id":"2509.22628","title":"UML-CoT: Structured Reasoning and Planning with Unified Modeling Language for Robotic Room Cleaning","created":"2025-09-26","cited_by_count":0,"area":"lr"},{"id":"2510.10201","title":"RLFR: Extending Reinforcement Learning for LLMs with Flow Environment","created":"2025-10-11","cited_by_count":0,"area":"lr"},{"id":"2510.26474","title":"Counteracting Matthew Effect in Self-Improvement of LVLMs through Head-Tail Re-balancing","created":"2025-10-30","cited_by_count":0,"area":"lr"},{"id":"2512.14654","title":"ViRC: Enhancing Visual Interleaved Mathematical CoT with Reason Chunking","created":"2025-12-16","cited_by_count":0,"area":"lr"},{"id":"2512.18956","title":"Training Multimodal Large Reasoning Models Needs Better Thoughts: A Three-Stage Framework for Long Chain-of-Thought Synthesis and Selection","created":"2025-12-22","cited_by_count":0,"area":"lr"},{"id":"2602.01004","title":"SRVAU-R1: Enhancing Video Anomaly Understanding via Reflection-Aware Learning","created":"2026-02-01","cited_by_count":0,"area":"lr"},{"id":"2602.09485","title":"Bridging Efficiency and Transparency: Explainable CoT Compression in Multimodal Large Reasoning Models","created":"2026-02-10","cited_by_count":0,"area":"lr"},{"id":"2603.18418","title":"Mind the Rarities: Can Rare Skin Diseases Be Reliably Diagnosed via Diagnostic Reasoning?","created":"2026-03-19","cited_by_count":0,"area":"lr"},{"id":"2605.08094","title":"MedThink: Enhancing Diagnostic Accuracy in Small Models via Teacher-Guided Reasoning Correction","created":"2026-04-09","cited_by_count":0,"area":"lr"},{"id":"2605.27960","title":"Mags-RL: Wearing Multimodal LLMs a Magnifying Glass via Agentic Reinforcement Learning For Complex Scene Reasoning","created":"2026-05-27","cited_by_count":0,"area":"lr"},{"id":"2606.07801","title":"Improving Multimodal Reasoning via Worst Dimension Optimization","created":"2026-06-05","cited_by_count":0,"area":"lr"},{"id":"2606.17888","title":"MathVis-Fine: Aligning Visual Supervision with Necessity via Progressive Dependency-Guided Training for Multimodal Mathematical Reasoning","created":"2026-06-16","cited_by_count":0,"area":"lr"},{"id":"2610.07342","title":"Rationale-Guided Policy Optimization: Learning to Reason with Adaptive Rationale Scaffolding","created":"2026-10-05","cited_by_count":0,"area":"lr"}],"next_cursor":null}