{"total":61,"rows":[{"id":"2402.14804","title":"Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset","created":"2024-02-22","cited_by_count":526,"area":"lr"},{"id":"2406.01584","title":"SpatialRGPT: Grounded Spatial Reasoning in Vision Language Models","created":"2024-06-03","cited_by_count":311,"area":"lr"},{"id":"2403.16999","title":"Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning","created":"2024-03-25","cited_by_count":280,"area":"lr"},{"id":"2311.17076","title":"Compositional Chain-of-Thought Prompting for Large Multimodal Models","created":"2023-11-27","cited_by_count":164,"area":"lr"},{"id":"2401.06805","title":"Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning","created":"2024-01-10","cited_by_count":136,"area":"lr"},{"id":"2402.12185","title":"ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning","created":"2024-02-19","cited_by_count":128,"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":"2312.15915","title":"ChartBench: A Benchmark for Complex Visual Reasoning in Charts","created":"2023-12-26","cited_by_count":120,"area":"lr"},{"id":"2407.08739","title":"MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine","created":"2024-07-11","cited_by_count":113,"area":"lr"},{"id":"2409.00147","title":"MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models","created":"2024-08-30","cited_by_count":70,"area":"lr"},{"id":"2404.16635","title":"TinyChart: Efficient Chart Understanding with Visual Token Merging and Program-of-Thoughts Learning","created":"2024-04-25","cited_by_count":52,"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":"2505.20272","title":"Ground-R1: Incentivizing Grounded Visual Reasoning via Reinforcement Learning","created":"2025-05-26","cited_by_count":49,"area":"lr"},{"id":"2407.01863","title":"VSP: Assessing the dual challenges of perception and reasoning in spatial planning tasks for VLMs","created":"2024-07-02","cited_by_count":47,"area":"lr"},{"id":"2505.10557","title":"MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning","created":"2025-05-15","cited_by_count":45,"area":"lr"},{"id":"2502.13383","title":"MM-Verify: Enhancing Multimodal Reasoning with Chain-of-Thought Verification","created":"2025-02-19","cited_by_count":39,"area":"lr"},{"id":"2503.07523","title":"VisRL: Intention-Driven Visual Perception via Reinforced Reasoning","created":"2025-03-10","cited_by_count":39,"area":"lr"},{"id":"2404.09797","title":"TextCoT: Zoom In for Enhanced Multimodal Text-Rich Image Understanding","created":"2024-04-15","cited_by_count":38,"area":"lr"},{"id":"2404.16033","title":"Cantor: Inspiring Multimodal Chain-of-Thought of MLLM","created":"2024-04-24","cited_by_count":34,"area":"lr"},{"id":"2405.04950","title":"VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context","created":"2024-05-08","cited_by_count":31,"area":"lr"},{"id":"2504.11914","title":"AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection","created":"2025-04-16","cited_by_count":28,"area":"lr"},{"id":"2505.23766","title":"Argus: Vision-Centric Reasoning with Grounded Chain-of-Thought","created":"2025-05-29","cited_by_count":27,"area":"lr"},{"id":"2509.25373","title":"From Perception to Cognition: A Survey of Vision-Language Interactive Reasoning in Multimodal Large Language Models","created":"2025-09-29","cited_by_count":26,"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":"2410.14702","title":"Polymath: A Challenging Multi-modal Mathematical Reasoning Benchmark","created":"2024-10-06","cited_by_count":22,"area":"lr"},{"id":"2503.10627","title":"SciVerse: Unveiling the Knowledge Comprehension and Visual Reasoning of LMMs on Multi-modal Scientific Problems","created":"2025-03-13","cited_by_count":22,"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":"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":"2408.11397","title":"EAGLE: Elevating Geometric Reasoning through LLM-empowered Visual Instruction Tuning","created":"2024-08-21","cited_by_count":16,"area":"lr"},{"id":"2501.06430","title":"Open Eyes, Then Reason: Fine-grained Visual Mathematical Understanding in MLLMs","created":"2025-01-11","cited_by_count":16,"area":"lr"},{"id":"2312.11524","title":"Assessing GPT4-V on Structured Reasoning Tasks","created":"2023-12-13","cited_by_count":14,"area":"lr"},{"id":"2503.08308","title":"Seeing and Reasoning with Confidence: Supercharging Multimodal LLMs with an Uncertainty-Aware Agentic Framework","created":"2025-03-11","cited_by_count":12,"area":"lr"},{"id":"2504.12795","title":"EarthGPT-X: A Spatial MLLM for Multi-level Multi-Source Remote Sensing Imagery Understanding with Visual Prompting","created":"2025-04-17","cited_by_count":11,"area":"lr"},{"id":"2501.01426","title":"Unifying Specialized Visual Encoders for Video Language Models","created":"2025-01-02","cited_by_count":10,"area":"lr"},{"id":"2510.09361","title":"BLINK-Twice: You see, but do you observe? A Reasoning Benchmark on Visual Perception","created":"2025-10-10","cited_by_count":9,"area":"lr"},{"id":"2507.16518","title":"SyncLoop: A Multimodal Dual-Loop Framework for Self-Improving Mathematical Reasoning","created":"2025-07-22","cited_by_count":8,"area":"lr"},{"id":"2505.13261","title":"Unlocking the Potential of Difficulty Prior in RL-based Multimodal Reasoning","created":"2025-05-19","cited_by_count":7,"area":"lr"},{"id":"2501.06986","title":"Rethinking the Mixture of Vision Encoders Paradigm for Enhanced Visual Understanding in Multimodal LLMs","created":"2025-01-13","cited_by_count":6,"area":"lr"},{"id":"2512.00305","title":"ChartPoint: Guiding MLLMs with Grounding Reflection for Chart Reasoning","created":"2025-11-29","cited_by_count":6,"area":"lr"},{"id":"2411.18142","title":"Autonomous Imagination: Closed-Loop Decomposition of Visual-to-Textual Conversion in Visual Reasoning for Multimodal Large Language Models","created":"2024-11-27","cited_by_count":5,"area":"lr"},{"id":"2510.21122","title":"NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation","created":"2025-10-24","cited_by_count":5,"area":"lr"},{"id":"2512.15885","title":"Seeing Beyond Words: Self-Supervised Visual Learning for Multimodal Large Language Models","created":"2025-12-17","cited_by_count":5,"area":"lr"},{"id":"2506.07778","title":"A Neurosymbolic Agent System for Compositional Visual Reasoning","created":"2025-06-09","cited_by_count":4,"area":"lr"},{"id":"2507.02804","title":"Multimodal Mathematical Reasoning with Diverse Solving Perspective","created":"2025-07-03","cited_by_count":4,"area":"lr"},{"id":"2504.19627","title":"VCM: Vision Concept Modeling Based on Implicit Contrastive Learning with Vision-Language Instruction Fine-Tuning","created":"2025-04-28","cited_by_count":3,"area":"lr"},{"id":"2508.10287","title":"JRDB-Reasoning: A Difficulty-Graded Benchmark for Visual Reasoning in Robotics","created":"2025-08-14","cited_by_count":3,"area":"lr"},{"id":"2603.06663","title":"Graph-of-Mark: Promote Spatial Reasoning in Multimodal Language Models with Graph-Based Visual Prompting","created":"2026-03-02","cited_by_count":3,"area":"lr"},{"id":"2604.21079","title":"Foveated Reasoning: Stateful, Action-based Visual Focusing for Vision-Language Models","created":"2026-04-22","cited_by_count":3,"area":"lr"},{"id":"2501.05662","title":"Cascaded Self-Evaluation Augmented Training for Lightweight Multimodal LLMs","created":"2025-01-10","cited_by_count":2,"area":"lr"},{"id":"2507.02984","title":"From Answers to Rationales: Self-Aligning Multimodal Reasoning with Answer-Oriented Chain-of-Thought","created":"2025-07-01","cited_by_count":2,"area":"lr"},{"id":"2511.11005","title":"Draft and Refine with Visual Experts","created":"2025-11-14","cited_by_count":2,"area":"lr"},{"id":"2604.10219","title":"Cognitive Pivot Points and Visual Anchoring: Unveiling and Rectifying Hallucinations in Multimodal Reasoning Models","created":"2026-04-11","cited_by_count":2,"area":"lr"},{"id":"2509.25151","title":"VideoAnchor: Reinforcing Subspace-Structured Visual Cues for Coherent Visual-Spatial Reasoning","created":"2025-09-29","cited_by_count":1,"area":"lr"},{"id":"2510.13232","title":"What \"Not\" to Detect: Negation-Aware VLMs via Structured Reasoning and Token Merging","created":"2025-10-15","cited_by_count":1,"area":"lr"},{"id":"2607.12319","title":"DM-KG: A Novel Method for Boosting Spatial Cognition of Vision-Language Models in Street View Imagery","created":"2026-07-14","cited_by_count":1,"area":"lr"},{"id":"2507.22805","title":"MoCHA: Advanced Vision-Language Reasoning with MoE Connector and Hierarchical Group Attention","created":"2025-07-30","cited_by_count":0,"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":"2603.12166","title":"LatentGeo: Learnable Auxiliary Constructions in Latent Space for Multimodal Geometric Reasoning","created":"2026-03-12","cited_by_count":0,"area":"lr"},{"id":"2607.26432","title":"FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing","created":"2026-07-29","cited_by_count":0,"area":"lr"},{"id":"2609.39168","title":"Reinforcing Multimodal Reasoning via Token-Level Perception-Grounded Advantage Estimation","created":"2026-09-30","cited_by_count":0,"area":"lr"}],"next_cursor":null}