VLM Reasoning

VLM: Vision-Language Model

Overview

This field studies how models connect images or video with language to solve tasks involving spatial relations, time, causality, diagrams, and action. Common approaches include chain-of-thought prompting, visual tools and retrieval, structured representations such as scene graphs, and fine-tuning with process-level rewards. Benchmarks increasingly test whether answers and intermediate steps are grounded in visual evidence, including in multi-image, video, scientific, and embodied settings. A central tension is that longer reasoning can help on complex tasks but can also weaken visual grounding, amplify language-based shortcuts, or produce explanations that do not reflect how an answer was reached.

Latest papers

CardsList

853 papers96 papers in the last four weeks, up 48% on the four weeks before. 0.6% of all new papers.

  1. Rethinking Visual Privacy: A Compositional Privacy Risk Framework for Severity Assessment with VLMs

    Mar 23, 2026Efthymios Tsaprazlis, Tiantian Feng, Anil Ramakrishna +3VLM EvaluationPrivacy Auditing

  2. VIGIL: Part-Grounded Structured Reasoning for Generalizable Deepfake Detection

    Mar 23, 2026Xinghan Li, Junhao Xu, Jingjing ChenExplainable Deepfake DetectionDeepfake Detection

  3. Beyond Static Visual Tokens: Structured Sequential Visual Chain-of-Thought Reasoning

    Mar 21, 2026Guangfu Guo, Xiaoqian Lu, Yue Feng +1VLM ReasoningMultimodal CoT Reasoning

  4. When Negation Is a Geometry Problem in Vision-Language Models

    Mar 20, 2026Fawaz Sammani, Tzoulio Chamiti, Paul Gavrikov +1VLM ReasoningVLM Evaluation

  5. CoVR-R:Reason-Aware Composed Video Retrieval

    Mar 20, 2026Omkar Thawakar, Dmitry Demidov, Vaishnav Potlapalli +5Composed Video RetrievalVLM Reasoning

  6. Chain-of-Adaptation: Surgical Vision-Language Adaptation with Reinforcement Learning

    Mar 20, 2026Jiajie Li, Chenhui Xu, Meihuan Liu +1VLM AdaptationMedical VLMs

  7. Contextual inference from single objects in Vision-Language models

    Mar 20, 2026Martina G. Vilas, Timothy Schaumlöffel, Gemma RoigVision-Language ModelsVLM Reasoning

  8. Motion-o: Trajectory-Grounded Video Reasoning

    Mar 19, 2026Bishoy Galoaa, Shayda Moezzi, Xiangyu Bai +1Video ReasoningVLM Reasoning

  9. Counting Circuits: Mechanistic Interpretability of Visual Reasoning in Large Vision-Language Models

    Mar 19, 2026Liwei Che, Zhiyu Xue, Yihao Quan +7VLM ReasoningLarge Vision-Language Models

  10. Mind the Rarities: Can Rare Skin Diseases Be Reliably Diagnosed via Diagnostic Reasoning?

    Mar 19, 2026Yang Liu, Jiyao Yang, Hongjin Zhao +10Rare Disease DiagnosisMedical VLMs

  11. Universal Skeleton Understanding via Differentiable Rendering and MLLMs

    Mar 18, 2026Ziyi Wang, Peiming Li, Xinshun Wang +3Skeleton-Based Action RecognitionMultimodal Large Language Models

  12. Insight-V++: Towards Advanced Long-Chain Visual Reasoning with Multimodal Large Language Models

    Mar 18, 2026Yuhao Dong, Zuyan Liu, Shulin Tian +2VLM ReasoningMultimodal Large Language Models

  13. WeatherReasonSeg: A Benchmark for Weather-Aware Reasoning Segmentation in Visual Language Models

    Mar 18, 2026Wanjun Du, Zifeng Yuan, Tingting Chen +3VLM RobustnessVLM Reasoning

  14. MCoT-MVS: Multi-level Vision Selection by Multi-modal Chain-of-Thought Reasoning for Composed Image Retrieval

    Mar 18, 2026Xuri Ge, Chunhao Wang, Xindi Wang +3Composed Image RetrievalVLM Reasoning

  15. Recurrent Reasoning with Vision-Language Models for Estimating Long-Horizon Embodied Task Progress

    Mar 18, 2026Yuelin Zhang, Sijie Cheng, Chen Li +4Robot Task Progress EstimationVLMs for Robotics

  16. HopChain: Multi-Hop Data Synthesis for Generalizable Vision-Language Reasoning

    Mar 17, 2026Shenzhi Wang, Shixuan Liu, Jing Zhou +8Reasoning for VLMsVLM Reasoning

  17. Retrieving Counterfactuals Improves Visual In-Context Learning

    Mar 17, 2026Guangzhi Xiong, Sanchit Sinha, Zhenghao He +1Multimodal ICLRetrieval-Augmented ICL

  18. The Cost of Reasoning: Chain-of-Thought Induces Overconfidence in Vision-Language Models

    Mar 17, 2026Robert Welch, Emir Konuk, Kevin SmithConfidence Estimation for VLMsVLM Reasoning

  19. Visual Distraction Undermines Moral Reasoning in Vision-Language Models

    Mar 17, 2026Xinyi Yang, Chenheng Xu, Weijun Hong +4Multimodal Multi-Turn Safety AlignmentVLM Reasoning

  20. When Thinking Hurts: Mitigating Visual Forgetting in Video Reasoning via Frame Repetition

    Mar 17, 2026Xiaokun Sun, Yubo Wang, Haoyu Cao +1Video ReasoningVideo QA

  21. Grounding the Score: Explicit Visual Premise Verification for Reliable Vision-Language Process Reward Models

    Mar 17, 2026Junxin Wang, Dai Guan, Weijie Qiu +7Process Reward ModelsVLM Reasoning

  22. Reliable Reasoning in SVG-LLMs via Multi-Task Multi-Reward Reinforcement Learning

    Mar 17, 2026Haomin Wang, Qi Wei, Qianli Ma +4Text-to-SVG GenerationVLM Reasoning

  23. PhysQuantAgent: An Inference Pipeline of Mass Estimation for Vision-Language Models

    Mar 17, 2026Hisayuki Yokomizo, Taiki Miyanishi, Yan Gang +3VLM ReasoningVLMs for Robotics

  24. Clue Matters: Leveraging Latent Visual Clues to Empower Video Reasoning

    Mar 16, 2026Kaixin zhang, Xiaohe Li, Jiahao Li +4Video ReasoningVideo QA

  25. WorldVLM: Combining World Model Forecasting and Vision-Language Reasoning

    Mar 15, 2026Stefan Englmeier, Katharina Winter, Fabian B. FlohrVLMs for Autonomous DrivingWorld Models for Autonomous Driving

  26. StAR: Segment Anything Reasoner

    Mar 15, 2026Seokju Yun, Dongheon Lee, Noori Bae +3Reasoning SegmentationVLM Reasoning