{"total":102,"rows":[{"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":"2503.12605","title":"Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey","created":"2025-03-16","cited_by_count":182,"area":"lr"},{"id":"2503.21620","title":"UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning","created":"2025-03-27","cited_by_count":168,"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":"2504.15279","title":"VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models","created":"2025-04-21","cited_by_count":107,"area":"lr"},{"id":"2509.24251","title":"Latent Visual Reasoning","created":"2025-09-29","cited_by_count":104,"area":"lr"},{"id":"2504.00891","title":"GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning","created":"2025-04-01","cited_by_count":97,"area":"lr"},{"id":"2504.13055","title":"NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation","created":"2025-04-17","cited_by_count":86,"area":"lr"},{"id":"2505.21523","title":"More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models","created":"2025-05-23","cited_by_count":86,"area":"lr"},{"id":"2511.08325","title":"AgentPRM: Process Reward Models for LLM Agents via Step-Wise Promise and Progress","created":"2025-11-11","cited_by_count":77,"area":"lr"},{"id":"2509.21100","title":"VideoChat-R1.5: Visual Test-Time Scaling to Reinforce Multimodal Reasoning by Iterative Perception","created":"2025-09-25","cited_by_count":65,"area":"lr"},{"id":"2505.17018","title":"SophiaVL-R1: Reinforcing MLLMs Reasoning with Thinking Reward","created":"2025-05-22","cited_by_count":45,"area":"lr"},{"id":"2507.21848","title":"EDGE-GRPO: Entropy-Driven GRPO with Guided Error Correction for Advantage Diversity","created":"2025-07-29","cited_by_count":41,"area":"lr"},{"id":"2509.01656","title":"Reinforced Visual Perception with Tools","created":"2025-09-01","cited_by_count":38,"area":"lr"},{"id":"2510.08049","title":"A Survey of Process Reward Models: From Outcome Signals to Process Supervisions for Large Language Models","created":"2025-10-09","cited_by_count":38,"area":"lr"},{"id":"2505.07263","title":"Skywork-VL Reward: An Effective Reward Model for Multimodal Understanding and Reasoning","created":"2025-05-12","cited_by_count":32,"area":"lr"},{"id":"2508.03404","title":"Visual Document Understanding and Reasoning: A Multi-Agent Collaboration Framework with Agent-Wise Adaptive Test-Time Scaling","created":"2025-08-05","cited_by_count":30,"area":"lr"},{"id":"2505.23727","title":"PixelThink: Towards Efficient Chain-of-Pixel Reasoning","created":"2025-05-29","cited_by_count":28,"area":"lr"},{"id":"2507.22607","title":"VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning","created":"2025-07-30","cited_by_count":26,"area":"lr"},{"id":"2505.17163","title":"OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image Reasoning","created":"2025-05-22","cited_by_count":25,"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":"2506.07905","title":"WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning","created":"2025-06-09","cited_by_count":21,"area":"lr"},{"id":"2503.20271","title":"ViLBench: A Suite for Vision-Language Process Reward Modeling","created":"2025-03-26","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":"2506.09532","title":"Athena: Enhancing Multimodal Reasoning with Data-efficient Process Reward Models","created":"2025-06-11","cited_by_count":16,"area":"lr"},{"id":"2506.16962","title":"Chiron-o1: Igniting Multimodal Large Language Models towards Generalizable Medical Reasoning via Mentor-Intern Collaborative Search","created":"2025-06-20","cited_by_count":16,"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":"2505.02686","title":"Sailing by the Stars: A Survey on Reward Models and Learning Strategies for Learning from Rewards","created":"2025-05-05","cited_by_count":14,"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":"2505.19406","title":"Unveiling the Compositional Ability Gap in Vision-Language Reasoning Model","created":"2025-05-26","cited_by_count":14,"area":"lr"},{"id":"2508.04088","title":"GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical Reasoning","created":"2025-08-06","cited_by_count":14,"area":"lr"},{"id":"2505.11227","title":"Is PRM Necessary? Problem-Solving RL Implicitly Induces PRM Capability in LLMs","created":"2025-05-16","cited_by_count":13,"area":"lr"},{"id":"2509.23250","title":"Training Vision-Language Process Reward Models for Test-Time Scaling in Multimodal Reasoning: Key Insights and Lessons Learned","created":"2025-09-27","cited_by_count":13,"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":"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":"2508.03556","title":"VRPRM: Process Reward Modeling via Visual Reasoning","created":"2025-08-05","cited_by_count":11,"area":"lr"},{"id":"2510.14738","title":"AutoRubric: Rubric-Based Generative Rewards for Faithful Multimodal Reasoning","created":"2025-10-16","cited_by_count":11,"area":"lr"},{"id":"2510.01544","title":"Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards","created":"2025-10-02","cited_by_count":10,"area":"lr"},{"id":"2506.04559","title":"Reasoning-Aligned Perception Decoupling for Scalable Multi-modal Reasoning","created":"2025-06-05","cited_by_count":9,"area":"lr"},{"id":"2603.02024","title":"MMR-Life: Piecing Together Real-life Scenes for Multimodal Multi-image Reasoning","created":"2026-03-02","cited_by_count":9,"area":"lr"},{"id":"2508.16665","title":"Trust but Verify! A Survey on Verification Design for Test-time Scaling","created":"2025-08-20","cited_by_count":8,"area":"lr"},{"id":"2510.01925","title":"Enhancing Large Language Model Reasoning with Reward Models: An Analytical Survey","created":"2025-10-02","cited_by_count":8,"area":"lr"},{"id":"2511.22998","title":"TIM-PRM: Verifying multimodal reasoning with Tool-Integrated PRM","created":"2025-11-28","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":"2508.04389","title":"GuirlVG: Incentivize GUI Visual Grounding via Empirical Exploration on Reinforcement Learning","created":"2025-08-06","cited_by_count":7,"area":"lr"},{"id":"2601.01483","title":"Unified Generation and Self-Verification for Vision-Language Models via Advantage Decoupled Preference Optimization","created":"2026-01-04","cited_by_count":7,"area":"lr"},{"id":"2601.05688","title":"SketchVL: Policy Optimization via Fine-Grained Credit Assignment for Chart Understanding and More","created":"2026-01-09","cited_by_count":7,"area":"lr"},{"id":"2602.08346","title":"What, Whether and How? Unveiling Process Reward Models for Thinking with Images Reasoning","created":"2026-02-09","cited_by_count":7,"area":"lr"},{"id":"2602.09305","title":"Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation","created":"2026-02-10","cited_by_count":7,"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":"2505.14999","title":"Learning to Rank Chain-of-Thought: Using a Small Model","created":"2025-05-21","cited_by_count":5,"area":"lr"},{"id":"2512.06258","title":"Knowing the Answer Isn't Enough: Fixing Reasoning Path Failures in LVLMs","created":"2025-12-06","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":"2605.17877","title":"PAIR: Prefix-Aware Internal Reward Model for Multi-Turn Agent Optimization","created":"2026-05-18","cited_by_count":5,"area":"lr"},{"id":"2608.31075","title":"Scaling Large Reasoning Models beyond Human Supervision: A Path toward Superintelligence","created":"2026-08-31","cited_by_count":5,"area":"lr"},{"id":"2508.12957","title":"Adaptive Reinforcement for Open-ended Medical Reasoning via Semantic-Guided Reward Collapse Mitigation","created":"2025-08-18","cited_by_count":4,"area":"lr"},{"id":"2511.10648","title":"Enhancing the Outcome Reward-based RL Training of MLLMs with Self-Consistency Sampling","created":"2025-11-13","cited_by_count":4,"area":"lr"},{"id":"2512.02423","title":"GUI Exploration Lab: Enhancing Screen Navigation in Agents via Multi-Turn Reinforcement Learning","created":"2025-12-02","cited_by_count":4,"area":"lr"},{"id":"2603.16253","title":"Grounding the Score: Explicit Visual Premise Verification for Reliable Vision-Language Process Reward Models","created":"2026-03-17","cited_by_count":4,"area":"lr"},{"id":"2603.28135","title":"CoT2-Meta: Budgeted Metacognitive Control for Test-Time Reasoning","created":"2026-03-30","cited_by_count":4,"area":"lr"},{"id":"2606.01667","title":"ATLAS: Agentic Test-time Learning-to-Allocate Scaling","created":"2026-06-01","cited_by_count":4,"area":"lr"},{"id":"2506.03197","title":"Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document Parsing","created":"2025-06-01","cited_by_count":3,"area":"lr"},{"id":"2601.00215","title":"Disentangling Perception and Reasoning in Multimodal LLMs via Reward Design","created":"2026-01-01","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":"2506.10389","title":"EQA-RM: A Generative Embodied Reward Model with Test-time Scaling","created":"2025-06-12","cited_by_count":2,"area":"lr"},{"id":"2506.13066","title":"FinLMM-R1: Enhancing Financial Reasoning in LMM through Scalable Data and Reward Design","created":"2025-06-16","cited_by_count":2,"area":"lr"},{"id":"2508.11350","title":"HOID-R1: Reinforcement Learning for Open-World Human-Object Interaction Detection Reasoning with Multimodal Large Language Model","created":"2025-08-15","cited_by_count":2,"area":"lr"},{"id":"2508.12604","title":"SSPO: Self-traced Step-wise Preference Optimization for Process Supervision and Reasoning Compression","created":"2025-08-18","cited_by_count":2,"area":"lr"},{"id":"2510.20304","title":"Exploring Generative Process Reward Modeling for Semi-Structured Data: A Case Study of Table Question Answering","created":"2025-10-23","cited_by_count":2,"area":"lr"},{"id":"2511.02280","title":"SAIL-RL: Guiding MLLMs in When and How to Think via Dual-Reward RL Tuning","created":"2025-11-04","cited_by_count":2,"area":"lr"},{"id":"2605.14186","title":"LLMs Know When They Know, but Do Not Act on It: A Metacognitive Harness for Test-time Scaling","created":"2026-05-13","cited_by_count":2,"area":"lr"},{"id":"2606.04579","title":"SCI-PRM: A Tool Aware Process Reward Model for Scientific Reasoning Verification","created":"2026-06-03","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":"2508.04576","title":"ConfProBench: A Confidence Evaluation Benchmark for MLLM-Based Process Judges","created":"2025-08-06","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":"2509.14142","title":"MARS2 2025 Challenge on Multimodal Reasoning: Datasets, Methods, Results, Discussion, and Outlook","created":"2025-09-17","cited_by_count":1,"area":"lr"},{"id":"2509.24351","title":"From Static to Dynamic: Adaptive Monte Carlo Search for Mathematical Process Supervision","created":"2025-09-29","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":"2602.04145","title":"Training Data Efficiency in Multimodal Process Reward Models","created":"2026-02-04","cited_by_count":1,"area":"lr"},{"id":"2604.00479","title":"All Roads Lead to Rome: Incentivizing Divergent Thinking in Vision-Language Models","created":"2026-04-01","cited_by_count":1,"area":"lr"},{"id":"2604.20755","title":"V-tableR1: Process-Supervised Multimodal Table Reasoning with Critic-Guided Policy Optimization","created":"2026-04-22","cited_by_count":1,"area":"lr"},{"id":"2605.01882","title":"Chart-FR1: Visual Focus-Driven Fine-Grained Reasoning on Dense Charts","created":"2026-05-03","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":"2607.09438","title":"Test-Time Scaling for Small VLMs on Multilingual Visual MCQ","created":"2026-07-10","cited_by_count":1,"area":"lr"},{"id":"2512.03126","title":"Hierarchical Process Reward Models are Symbolic Vision Learners","created":"2025-12-02","cited_by_count":0,"area":"lr"},{"id":"2602.02004","title":"ClueTracer: Question-to-Vision Clue Tracing for Training-Free Hallucination Suppression in Multimodal Reasoning","created":"2026-02-02","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":"2604.17504","title":"RS-HyRe-R1: A Hybrid Reward Mechanism to Overcome Perceptual Inertia for Remote Sensing Images Understanding","created":"2026-04-19","cited_by_count":0,"area":"lr"},{"id":"2605.20033","title":"A Nash Equilibrium Framework For Training-Free Multimodal Step Verification","created":"2026-05-19","cited_by_count":0,"area":"lr"},{"id":"2606.00148","title":"StemBind: When MLLMs Get Lost Between Rules and Instances in Abstract Visual Reasoning","created":"2026-05-29","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":"2606.08231","title":"Test-Time Scaling in Multimodal Foundation Models: A Comprehensive Survey of Generation and Reasoning","created":"2026-06-06","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":"2607.23700","title":"Offline-Online Curriculum RL for Multimodal Reasoning","created":"2026-07-26","cited_by_count":0,"area":"lr"},{"id":"2608.04726","title":"When Prompts Become Pixels: Prompt-Region Grounding for Multimodal Reasoning","created":"2026-08-05","cited_by_count":0,"area":"lr"},{"id":"2608.10665","title":"VERDICT: Training-Free Step-Wise Verification of Multimodal Reasoning via Disagreement-Aware Consensus","created":"2026-08-11","cited_by_count":0,"area":"lr"},{"id":"2608.21863","title":"HiDiffTIR: Hierarchical Difficulty-Aware Policy Optimization for Multi-Turn Tool-Integrated Reasoning","created":"2026-08-22","cited_by_count":0,"area":"lr"},{"id":"2608.27046","title":"Performance Foundations of Parallel & Distributed Reasoning Language Models","created":"2026-08-27","cited_by_count":0,"area":"lr"},{"id":"2609.37190","title":"HaPRL: Human-Anchored Process Reinforcement Learning for Visual Search Agent","created":"2026-09-29","cited_by_count":0,"area":"lr"},{"id":"2610.07018","title":"When to Rethink: Learning Multi-Perspective Self-Verification for Vision-Language Models","created":"2026-10-04","cited_by_count":0,"area":"lr"}],"next_cursor":"100"}