Vision-Language Models

Also known as VLM

Overview

Vision-language models study how systems can connect images or videos with language to recognize, describe, retrieve, and reason about visual content. Common approaches include contrastive image-text encoders such as CLIP, generative models that connect vision encoders to language models, and instruction tuning, sometimes combined with retrieval or tools. Researchers evaluate them on image-text retrieval, visual question answering, OCR and document understanding, visual grounding, and video benchmarks. A central challenge is that fluent answers do not guarantee visual grounding: hallucinations, reliance on textual shortcuts, weak compositional and temporal reasoning, and the costs of efficient deployment remain important concerns.

Latest papers

CardsList

738 papers77 papers in the last four weeks, up 20% on the four weeks before. 0.4% of all new papers.

  1. Look Before Acting: Enhancing Vision Foundation Representations for Vision-Language-Action Models

    Mar 16, 2026Yulin Luo, Hao Chen, Zhuangzhe Wu +10Spatial Grounding for VLA ModelsVision-Language-Action Models

  2. LightZeroNav: Zero-Shot Vision Language Navigation in Continuous Environments Based on Lightweight VLMs

    Mar 16, 2026Kun Luo, Xiangyu Dong, Xiaoguang Ma +2Vision-Language NavigationVision-Language Models

  3. Efficient Document Parsing via Parallel Token Prediction

    Mar 16, 2026Lei Li, Ze Zhao, Meng Li +6Efficient VLM InferenceDocument Parsing

  4. Confusion-Aware In-Context-Learning for Vision-Language Models in Robotic Manipulation

    Mar 16, 2026Yayun He, Zuheng Kang, Botao Zhao +3VLM RobustnessVision-Language Models

  5. UAVBench and UAVIT-1M: Benchmarking and Enhancing MLLMs for Low-Altitude UAV Vision-Language Understanding

    Mar 15, 2026Yang Zhan, Yuan YuanVision-Language ModelsVLM Evaluation

  6. AgriChat: A Multimodal Large Language Model for Agriculture Image Understanding

    Mar 14, 2026Abderrahmene Boudiaf, Irfan Hussain, Sajid JavedAgricultural Image AnalysisVision-Language Models

  7. QTrack: Query-Driven Reasoning for Multi-modal MOT

    Mar 14, 2026Tajamul Ashraf, Tavaheed Tariq, Sonia Yadav +4Referring MOTMultimodal Visual Object Tracking

  8. Vision Verification Enhanced Fusion of VLMs for Efficient Visual Reasoning

    Mar 13, 2026Selim Furkan Tekin, Yichang Xu, Gaowen Liu +3VLM Hallucination MitigationVLM Reasoning

  9. OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs

    Mar 12, 2026Stefan Maria Ailuro, Mario Markov, Mohammad Mahdi +3Remote Sensing VLMsVLM Adaptation

  10. Explicit Logic Channel for Validation and Enhancement of MLLMs on Zero-Shot Tasks

    Mar 12, 2026Mei Chee Leong, Ying Gu, Hui Li Tan +2VLM EvaluationVision-Language Models

  11. DOne: Decoupling Structure and Rendering for High-Fidelity Design-to-Code Generation

    Mar 12, 2026Xinhao Huang, Jinke Yu, Wenhao Xu +5Code GenerationVision-Language Models

  12. Grammar of the Wave: Towards Explainable Multivariate Time Series Event Detection via Neuro-Symbolic VLM Agents

    Mar 12, 2026Sky Chenwei Wan, Yifei Y. Wang, Tianjun Hou +2Neuro-Symbolic AIVision-Language Models

  13. Enhancing Lightweight Vision Language Models through Group Competitive Learning for Socially Compliant Navigation

    Mar 12, 2026Xinyu Zhang, Atsushi Konno, Toshihiko Yamasaki +1VLMs for RoboticsVision-Language Models

  14. GroundCount: Grounding Vision-Language Models with Object Detection for Mitigating Counting Hallucinations

    Mar 11, 2026Boyuan Chen, Minghao Shao, Siddharth Garg +2Vision-Language ModelsVLM Hallucination Mitigation

  15. R4-CGQA: Retrieval-based Vision Language Models for Computer Graphics Image Quality Assessment

    Mar 11, 2026Zhuangzi Li, Jian Jin, Shilv Cai +1Image Quality AssessmentVision-Language Models

  16. High-Fidelity Text-to-Image Generation from Pre-Trained Vision-Language Models via Distribution-Conditioned Diffusion Decoding

    Mar 11, 2026Ji Woo Hong, Hee Suk Yoon, Gwanhyeong Koo +5T2I GenerationDiffusion-Based Image Generation

  17. More than the Sum: Panorama-Language Models for Adverse Omni-Scenes

    Mar 10, 2026Weijia Fan, Ruiping Liu, Jiale Wei +7Vision-Language ModelsVisual Question Answering

  18. IntroSVG: Learning from Rendering Feedback for Text-to-SVG Generation via an Introspective Generator-Critic Framework

    Mar 10, 2026Feiyu Wang, Jiayuan Yang, Zhiyuan Zhao +4Text-to-SVG GenerationVision-Language Models

  19. MM-Zero: Self-Evolving Multi-Model Vision Language Models From Zero Data

    Mar 10, 2026Zongxia Li, Hongyang Du, Chengsong Huang +8Vision-Language ModelsVLM Reasoning

  20. Automating Crash Diagram Generation Using Vision-Language Models: A Case Study on Multi-Lane Roundabouts

    Mar 9, 2026Xiao Lu, Hao Zhen, Jidong J. YangVision-Language ModelsIntelligent Transportation Systems

  21. Visual Self-Fulfilling Alignment: Shaping Safety-Oriented Personas via Threat-Related Images

    Mar 9, 2026Qishun Yang, Shu Yang, Lijie Hu +1VLM Safety AlignmentVLM Safety

  22. MJ1: Multimodal Judgment via Grounded Verification

    Mar 9, 2026Bhavesh Kumar, Dylan Feng, Leonard TangPosition Bias in VLMsMLLM Evaluation

  23. AgriPath: A Systematic Exploration of Architectural Trade-offs for Crop Disease Classification

    Mar 8, 2026Hamza Mooraj, George Pantazopoulos, Alessandro SugliaContrastive Learning for VLMsPlant Disease Classification

  24. Cross-Modal Taxonomic Generalization in (Vision-) Language Models

    Mar 8, 2026Tianyang Xu, Marcelo Sandoval-Castaneda, Karen Livescu +2Vision-Language Models

  25. The Model Knows Which Tokens Matter: Automatic Token Selection via Noise Gating

    Mar 7, 2026Landi He, Xiaoyu Yang, Lijian XuEfficient VLM InferenceVisual Token Pruning

  26. Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge

    Mar 7, 2026Shuai Lu, Meng Wang, Jia Guo +6Vision-Language ModelsMedical VLMs

  27. Vision Language Models Cannot Reason About Physical Transformation

    Mar 7, 2026Dezhi Luo, Yijiang Li, Maijunxian Wang +7Physical ReasoningVision-Language Models