2 papers
cs.CV2026
Understanding the Fine-Grained Knowledge Capabilities of Vision-Language Models
Dhruba Ghosh, Yuhui Zhang, Ludwig Schmidt
Vision-language models (VLMs) have made substantial progress across a wide range of visual question answering benchmarks, spanning visual reasoning, document understanding, and mul…
cs.CV2025
Data or Language Supervision: What Makes CLIP Better than DINO?
Yiming Liu, Yuhui Zhang, Dhruba Ghosh +2
CLIP outperforms self-supervised models like DINO as vision encoders for vision-language models (VLMs), but it remains unclear whether this advantage stems from CLIP's language sup…