Introducing Idefics2: A Powerful 8B Vision-Language Model for the community

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

Introducing IDEFICS: An Open Reproduction of State-of-the-art Visual Langage Model

Vision Language Models Explained

Vision Language Models (Better, faster, stronger)

A Dive into Vision-Language Models

Accelerating Vision-Language Models: BridgeTower on Habana Gaudi2

SmolVLM - small yet mighty Vision Language Model

SmolVLA: Efficient Vision-Language-Action Model trained on Lerobot Community Data

Vision-Language Models are Fragile Multilingual Associators

arXiv:2608. 12333v1 Announce Type: cross Abstract: Vision-language models must associate visual entities with textual attributes.

SigLIP 2: A better multilingual vision language encoder

From Pixels to Prompts: Vision-Language Models

arXiv:2605. 07544v3 Announce Type: replace Abstract: When you read a paper about a new Vision-Language Model today, it can be easy to forget how strange this idea would have sounded not so long ago.

From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models

arXiv:2606. 26196v1 Announce Type: cross Abstract: Multimodal Large Language Models (MLLMs) have recently made remarkable progress in unifying vision-language understanding and reasoning, especially following the introduction of models such as OpenAI's O-series and DeepSeek's R-series, which have driven a paradigm shift toward perception-centric intelligence.