Vision-Language Models
839 papers
Papers per year
2
1
3
2
9
13
26
60
95
240
253
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'25
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