Preference Optimization for Vision Language Models

Vision Language Models (Better, faster, stronger)

A Dive into Vision-Language Models

Vision Language Models Explained

Fine-tuning Florence-2 - Microsoft's Cutting-edge Vision Language Models

A Dataset for Dynamic Human Preferences for Vision Language Models

arXiv:2606. 07653v1 Announce Type: cross Abstract: Given the increased adoption of Vision Language Models (VLMs) in human-interactive settings, it is important that we evaluate how well these models can adapt to real-time preferences for different users.

PaliGemma – Google's Cutting-Edge Open Vision Language Model