{"total":77,"rows":[{"id":"2310.02255","title":"MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts","created":"2023-10-03","cited_by_count":1614,"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":"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":"2411.02359","title":"DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution","created":"2024-11-04","cited_by_count":117,"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":"2309.04669","title":"Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization","created":"2023-09-09","cited_by_count":87,"area":"lr"},{"id":"2502.02175","title":"VLA-Cache: Efficient Vision-Language-Action Manipulation via Adaptive Token Caching","created":"2025-02-04","cited_by_count":86,"area":"lr"},{"id":"2402.04236","title":"CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning","created":"2024-02-06","cited_by_count":67,"area":"lr"},{"id":"2311.15596","title":"EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models","created":"2023-11-27","cited_by_count":60,"area":"lr"},{"id":"2510.10689","title":"OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs","created":"2025-10-12","cited_by_count":59,"area":"lr"},{"id":"2406.14596","title":"VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought","created":"2024-06-20","cited_by_count":55,"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":"2410.15926","title":"Mitigating Object Hallucination via Concentric Causal Attention","created":"2024-10-21","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":"2408.15769","title":"A Survey on Evaluation of Multimodal Large Language Models","created":"2024-08-28","cited_by_count":46,"area":"lr"},{"id":"2505.12448","title":"SSR: Enhancing Depth Perception in Vision-Language Models via Rationale-Guided Spatial Reasoning","created":"2025-05-18","cited_by_count":46,"area":"lr"},{"id":"2312.02896","title":"BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models","created":"2023-12-05","cited_by_count":41,"area":"lr"},{"id":"2510.02410","title":"OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data","created":"2025-10-02","cited_by_count":36,"area":"lr"},{"id":"2412.15206","title":"AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving","created":"2024-12-19","cited_by_count":35,"area":"lr"},{"id":"2402.06118","title":"ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling","created":"2024-02-09","cited_by_count":34,"area":"lr"},{"id":"2310.16035","title":"What's Left? Concept Grounding with Logic-Enhanced Foundation Models","created":"2023-10-24","cited_by_count":33,"area":"lr"},{"id":"2506.00123","title":"Visual Embodied Brain: Let Multimodal Large Language Models See, Think, and Control in Spaces","created":"2025-05-30","cited_by_count":33,"area":"lr"},{"id":"2402.05472","title":"Question Aware Vision Transformer for Multimodal Reasoning","created":"2024-02-08","cited_by_count":32,"area":"lr"},{"id":"2407.15680","title":"HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning","created":"2024-07-22","cited_by_count":32,"area":"lr"},{"id":"2410.20482","title":"What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration","created":"2024-10-27","cited_by_count":31,"area":"lr"},{"id":"2406.09175","title":"ReMI: A Dataset for Reasoning with Multiple Images","created":"2024-06-13","cited_by_count":30,"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":"2405.17427","title":"Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model","created":"2024-05-27","cited_by_count":28,"area":"lr"},{"id":"2402.14899","title":"Stop Reasoning! When Multimodal LLM with Chain-of-Thought Reasoning Meets Adversarial Image","created":"2024-02-22","cited_by_count":26,"area":"lr"},{"id":"2410.18923","title":"SegLLM: Multi-round Reasoning Segmentation","created":"2024-10-24","cited_by_count":25,"area":"lr"},{"id":"2401.11943","title":"Benchmarking Large Multimodal Models against Common Corruptions","created":"2024-01-22","cited_by_count":24,"area":"lr"},{"id":"2509.16645","title":"ADVEDM:Fine-grained Adversarial Attack against VLM-based Embodied Agents","created":"2025-09-20","cited_by_count":23,"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":"2401.13311","title":"ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models","created":"2024-01-24","cited_by_count":19,"area":"lr"},{"id":"2403.11236","title":"ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization","created":"2024-03-17","cited_by_count":19,"area":"lr"},{"id":"2602.04476","title":"Vision-aligned Latent Reasoning for Multi-modal Large Language Model","created":"2026-02-04","cited_by_count":18,"area":"lr"},{"id":"2504.00509","title":"Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems?","created":"2025-04-01","cited_by_count":15,"area":"lr"},{"id":"2311.11567","title":"InfiMM-Eval: Complex Open-Ended Reasoning Evaluation For Multi-Modal Large Language Models","created":"2023-11-20","cited_by_count":14,"area":"lr"},{"id":"2412.05479","title":"LATTE: Learning to Think with Vision Specialists","created":"2024-12-07","cited_by_count":14,"area":"lr"},{"id":"2410.14690","title":"Rethinking VLMs and LLMs for Image Classification","created":"2024-10-03","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":"2504.06606","title":"Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program","created":"2025-04-09","cited_by_count":10,"area":"lr"},{"id":"2412.06324","title":"World knowledge-enhanced Reasoning Using Instruction-guided Interactor in Autonomous Driving","created":"2024-12-09","cited_by_count":9,"area":"lr"},{"id":"2406.09240","title":"Comparison Visual Instruction Tuning","created":"2024-06-13","cited_by_count":8,"area":"lr"},{"id":"2502.14864","title":"Benchmarking Multimodal RAG through a Chart-based Document Question-Answering Generation Framework","created":"2025-02-20","cited_by_count":8,"area":"lr"},{"id":"2505.24872","title":"ProxyThinker: Test-Time Guidance through Small Visual Reasoners","created":"2025-05-30","cited_by_count":8,"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":"2506.11034","title":"CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models","created":"2025-05-21","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":"2512.11558","title":"DentalGPT: Incentivizing Multimodal Complex Reasoning in Dentistry","created":"2025-12-12","cited_by_count":6,"area":"lr"},{"id":"2310.13473","title":"Benchmarking Sequential Visual Input Reasoning and Prediction in Multimodal Large Language Models","created":"2023-10-20","cited_by_count":5,"area":"lr"},{"id":"2408.03160","title":"User-in-the-loop Evaluation of Multimodal LLMs for Activity Assistance","created":"2024-08-04","cited_by_count":5,"area":"lr"},{"id":"2408.08105","title":"Multimodal Causal Reasoning Benchmark: Challenging Vision Large Language Models to Discern Causal Links Across Modalities","created":"2024-08-15","cited_by_count":5,"area":"lr"},{"id":"2408.12321","title":"MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model","created":"2024-08-22","cited_by_count":5,"area":"lr"},{"id":"2402.13577","title":"BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models","created":"2024-02-21","cited_by_count":4,"area":"lr"},{"id":"2402.17971","title":"All in an Aggregated Image for In-Image Learning","created":"2024-02-28","cited_by_count":4,"area":"lr"},{"id":"2409.18996","title":"From Linguistic Giants to Sensory Maestros: A Survey on Cross-Modal Reasoning with Large Language Models","created":"2024-09-19","cited_by_count":4,"area":"lr"},{"id":"2412.10455","title":"Geo-LLaVA: A Large Multi-Modal Model for Solving Geometry Math Problems with Meta In-Context Learning","created":"2024-12-12","cited_by_count":4,"area":"lr"},{"id":"2502.13789","title":"From Correctness to Comprehension: AI Agents for Personalized Error Diagnosis in Education","created":"2025-02-19","cited_by_count":4,"area":"lr"},{"id":"2504.07521","title":"Why We Feel: Breaking Boundaries in Emotional Reasoning with Multimodal Large Language Models","created":"2025-04-10","cited_by_count":4,"area":"lr"},{"id":"2505.09118","title":"Seeing Beyond the Scene: Enhancing Vision-Language Models with Interactional Reasoning","created":"2025-05-14","cited_by_count":4,"area":"lr"},{"id":"2606.06538","title":"WorldBench: A Challenging and Visually Diverse Multimodal Reasoning Benchmark","created":"2026-06-04","cited_by_count":4,"area":"lr"},{"id":"2605.13382","title":"BlockVLA: Accelerating Autoregressive VLA via Block Diffusion Finetuning","created":"2026-05-13","cited_by_count":3,"area":"lr"},{"id":"2412.16771","title":"SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization","created":"2024-12-21","cited_by_count":2,"area":"lr"},{"id":"2602.17871","title":"Understanding the Fine-Grained Knowledge Capabilities of Vision-Language Models","created":"2026-02-19","cited_by_count":2,"area":"lr"},{"id":"2504.02885","title":"Med-R2: Perception and Reflection-driven Complex Reasoning for Medical Report Generation","created":"2025-04-02","cited_by_count":1,"area":"lr"},{"id":"2508.02841","title":"A Multi-Agent System for Complex Reasoning in Radiology Visual Question Answering","created":"2025-08-04","cited_by_count":1,"area":"lr"},{"id":"2510.01700","title":"VaPR -- Vision-language Preference alignment for Reasoning","created":"2025-10-02","cited_by_count":1,"area":"lr"},{"id":"2510.06638","title":"StaR-KVQA: Structured Reasoning Traces for Implicit-Knowledge Visual Question Answering","created":"2025-10-08","cited_by_count":1,"area":"lr"},{"id":"2511.22351","title":"INSIGHT: An Interpretable Neural Vision-Language Framework for Reasoning of Generative Artifacts","created":"2025-11-27","cited_by_count":1,"area":"lr"},{"id":"2509.21922","title":"Spatial Reasoning in Foundation Models: Benchmarking Object-Centric Spatial Understanding","created":"2025-09-26","cited_by_count":0,"area":"lr"},{"id":"2511.05553","title":"EVLP:Learning Unified Embodied Vision-Language Planner with Reinforced Supervised Fine-Tuning","created":"2025-11-03","cited_by_count":0,"area":"lr"},{"id":"2601.07298","title":"Mimic Human Cognition, Master Multi-Image Reasoning: A Meta-Action Framework for Enhanced Visual Understanding","created":"2026-01-12","cited_by_count":0,"area":"lr"},{"id":"2607.00606","title":"Retrieved Images as Visual Thought: Training-Free Multimodal In-Context Learning for the Open-vs-Closed Gap","created":"2026-07-01","cited_by_count":0,"area":"lr"},{"id":"2607.05798","title":"Segmentation before Answering: Pixel Grounding for MLLM Visual Reasoning","created":"2026-07-07","cited_by_count":0,"area":"lr"},{"id":"2607.12079","title":"The Capacity of Thought: Benchmarking Llama 3.2 in Semantic fMRI Neural Language Decoding and Improving the Huth Encoding-Model Baseline","created":"2026-07-13","cited_by_count":0,"area":"lr"},{"id":"2609.30952","title":"MVVBench: Benchmarking 4D Reasoning in Vision-Language Models","created":"2026-09-25","cited_by_count":0,"area":"lr"}],"next_cursor":null}