PaliGemma 2 Mix - New Instruction Vision Language Models by Google

Welcome PaliGemma 2 – New vision language models by Google

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

Vision Language Models Explained

A Dive into Vision-Language Models

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

Vision Language Models (Better, faster, stronger)

SmolVLM - small yet mighty Vision Language Model

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

Accelerating Vision-Language Models: BridgeTower on Habana Gaudi2

Accelerating vision-language models with LFM2.5-VL-DSpark

Preference Optimization for Vision Language Models

MM-IFEval-Pro: A Multilingual and Attack-Resistant Benchmark for Instruction-Following in Vision-Language Models

MM-IFEval-Pro is a new multilingual benchmark for evaluating instruction-following in vision-language models, covering both Chinese and English tasks. It includes 4 major task categories, 24 subcategories, and 8 instruction categories with 52 subcategories, each sample featuring an average of 3.0 constraints to mimic complex instruction scenarios. A reinforcement-learning training set with Chinese and adversarial instructions improves model performance on MM-IFEval-Pro and transfers well to other multimodal benchmarks, showing strong cross-task and cross-language generalization.