{"total":45,"rows":[{"id":"2503.01785","title":"Visual-RFT: Visual Reinforcement Fine-Tuning","created":"2025-03-03","cited_by_count":513,"area":"lr"},{"id":"2412.18319","title":"Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search","created":"2024-12-24","cited_by_count":175,"area":"lr"},{"id":"2410.16198","title":"Improve Vision Language Model Chain-of-thought Reasoning","created":"2024-10-21","cited_by_count":136,"area":"lr"},{"id":"2411.14432","title":"Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models","created":"2024-11-21","cited_by_count":116,"area":"lr"},{"id":"2501.12368","title":"InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model","created":"2025-01-21","cited_by_count":74,"area":"lr"},{"id":"2505.14246","title":"Visual Agentic Reinforcement Fine-Tuning","created":"2025-05-20","cited_by_count":55,"area":"lr"},{"id":"2502.07601","title":"Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models","created":"2025-02-11","cited_by_count":54,"area":"lr"},{"id":"2411.18203","title":"Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning","created":"2024-11-27","cited_by_count":50,"area":"lr"},{"id":"2512.14698","title":"TimeLens: Rethinking Video Temporal Grounding with Multimodal LLMs","created":"2025-12-16","cited_by_count":50,"area":"lr"},{"id":"2507.13348","title":"VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning","created":"2025-07-17","cited_by_count":43,"area":"lr"},{"id":"2410.02763","title":"Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videos","created":"2024-10-03","cited_by_count":38,"area":"lr"},{"id":"2410.11623","title":"VidEgoThink: Assessing Egocentric Video Understanding Capabilities for Embodied AI","created":"2024-10-15","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":"2409.18938","title":"From Seconds to Hours: Reviewing MultiModal Large Language Models on Comprehensive Long Video Understanding","created":"2024-09-27","cited_by_count":30,"area":"lr"},{"id":"2506.09987","title":"A Shortcut-aware Video-QA Benchmark for Physical Understanding via Minimal Video Pairs","created":"2025-06-11","cited_by_count":30,"area":"lr"},{"id":"2412.13540","title":"Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning","created":"2024-12-18","cited_by_count":19,"area":"lr"},{"id":"2604.17052","title":"OASIS: On-Demand Hierarchical Event Memory for Streaming Video Reasoning","created":"2026-04-18","cited_by_count":19,"area":"lr"},{"id":"2409.02834","title":"CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal Models","created":"2024-09-04","cited_by_count":18,"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":"2505.18700","title":"GRE Suite: Geo-localization Inference via Fine-Tuned Vision-Language Models and Enhanced Reasoning Chains","created":"2025-05-24","cited_by_count":14,"area":"lr"},{"id":"2503.19355","title":"ST-VLM: Kinematic Instruction Tuning for Spatio-Temporal Reasoning in Vision-Language Models","created":"2025-03-25","cited_by_count":13,"area":"lr"},{"id":"2504.12661","title":"VLMGuard-R1: Proactive Safety Alignment for VLMs via Reasoning-Driven Prompt Optimization","created":"2025-04-17","cited_by_count":10,"area":"lr"},{"id":"2408.12114","title":"SPARK: Multi-Vision Sensor Perception and Reasoning Benchmark for Large-scale Vision-Language Models","created":"2024-08-22","cited_by_count":9,"area":"lr"},{"id":"2505.11830","title":"VISTA: Mitigating Semantic Inertia in Video-LLMs via Training-Free Dynamic Chain-of-Thought Routing","created":"2025-05-17","cited_by_count":7,"area":"lr"},{"id":"2506.06727","title":"VisioMath: Benchmarking Figure-based Mathematical Reasoning in LMMs","created":"2025-06-07","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":"2503.16856","title":"MMCR: Benchmarking Cross-Source Reasoning in Scientific Papers","created":"2025-03-21","cited_by_count":5,"area":"lr"},{"id":"2505.21538","title":"Caption This, Reason That: VLMs Caught in the Middle","created":"2025-05-24","cited_by_count":4,"area":"lr"},{"id":"2509.24385","title":"Vid-LLM: A Compact Video-based 3D Multimodal LLM with Reconstruction-Reasoning Synergy","created":"2025-09-29","cited_by_count":4,"area":"lr"},{"id":"2510.15050","title":"DRIFT: Transferring Reasoning Priors for Efficient MLLM Fine-Tuning","created":"2025-10-16","cited_by_count":3,"area":"lr"},{"id":"2603.21701","title":"Rethinking Token Reduction for Large Vision-Language Models","created":"2026-03-23","cited_by_count":3,"area":"lr"},{"id":"2503.16260","title":"Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data","created":"2025-03-20","cited_by_count":2,"area":"lr"},{"id":"2510.26937","title":"MM-OPERA: Benchmarking Open-ended Association Reasoning for Large Vision-Language Models","created":"2025-10-30","cited_by_count":2,"area":"lr"},{"id":"2603.13628","title":"Locatability-Guided Adaptive Reasoning for Image Geo-Localization with Vision-Language Models","created":"2026-03-13","cited_by_count":2,"area":"lr"},{"id":"2603.18118","title":"Insight-V++: Towards Advanced Long-Chain Visual Reasoning with Multimodal Large Language Models","created":"2026-03-18","cited_by_count":2,"area":"lr"},{"id":"2604.04500","title":"Saliency-R1: Enforcing Interpretable and Faithful Vision-language Reasoning via Saliency-map Alignment Reward","created":"2026-04-06","cited_by_count":2,"area":"lr"},{"id":"2607.10120","title":"WeaveEarth: Structured Evidence Construction and Reasoning for Training-Free UHR Remote Sensing Understanding","created":"2026-07-11","cited_by_count":2,"area":"lr"},{"id":"2501.08597","title":"Dynamic Knowledge Integration for Enhanced Vision-Language Reasoning","created":"2025-01-15","cited_by_count":1,"area":"lr"},{"id":"2502.08903","title":"3D-Grounded Vision-Language Framework for Robotic Task Planning: Automated Prompt Synthesis and Supervised Reasoning","created":"2025-02-13","cited_by_count":1,"area":"lr"},{"id":"2607.25993","title":"Beyond Zooming: Learning Multi-Tool Visual Reasoning for Ultra-High-Resolution Remote Sensing","created":"2026-07-28","cited_by_count":1,"area":"lr"},{"id":"2508.11808","title":"Labels or Input? Rethinking Augmentation in Multimodal Hate Detection","created":"2025-08-15","cited_by_count":0,"area":"lr"},{"id":"2512.11680","title":"Cross-modal Context-aware Learning for Visual Prompt Guided Multimodal Image Understanding in Remote Sensing","created":"2025-12-12","cited_by_count":0,"area":"lr"},{"id":"2601.02991","title":"Towards Faithful Reasoning in Comics for Small MLLMs","created":"2026-01-06","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":"2609.13158","title":"TestHallVQA: Exploring LVLMs' Document-Level Reasoning under Redundant Contexts from Scientific Exams","created":"2026-07-15","cited_by_count":0,"area":"lr"}],"next_cursor":null}