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Vision-Language Models

839 papers

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Papers

VLog: Video-Language Models by Generative Retrieval of Narration Vocabulary CVPR 2025 VoCo-LLaMA: Towards Vision Compression with Large Language Models CVPR 2025 V-Oracle: Making Progressive Reasoning in Deciphering Oracle Bones for You and Me ACL 2025 VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration ACL 2025 Waste-Bench: A Comprehensive Benchmark for Evaluating VLLMs in Cluttered Environments EMNLP 2025 Weaving Context Across Images: Improving Vision-Language Models through Focus-Centric Visual Chains ACL 2025 We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning? ACL 2025 What's in the Image? A Deep-Dive into the Vision of Vision Language Models CVPR 2025 Why Vision Language Models Struggle with Visual Arithmetic? Towards Enhanced Chart and Geometry Understanding ACL 2025 WildDoc: How Far Are We from Achieving Comprehensive and Robust Document Understanding in the Wild? EMNLP 2025 Words or Vision: Do Vision-Language Models Have Blind Faith in Text? CVPR 2025 XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery? CVPR 2025 Your Large Vision-Language Model Only Needs A Few Attention Heads For Visual Grounding CVPR 2025 4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities NeurIPS 2024 A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models EMNLP 2024 Active Prompt Learning in Vision Language Models CVPR 2024 AdanCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer NeurIPS 2024 Adventures of Trustworthy Vision-Language Models: A Survey AAAI 2024 African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification EMNLP 2024 A General Protocol to Probe Large Vision Models for 3D Physical Understanding NeurIPS 2024 AlanaVLM: A Multimodal Embodied AI Foundation Model for Egocentric Video Understanding EMNLP 2024 Alpha-CLIP: A CLIP Model Focusing on Wherever You Want CVPR 2024 AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning CVPR 2024 Anchor-based Robust Finetuning of Vision-Language Models CVPR 2024 An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models EMNLP 2024