FusionBrainLab/Vision_GRPO ·
github.com · 1,847 words · saved by 1 readers
No description, website, or topics provided.
Vision GRPO Training Vision Language Models with GRPO for Visual Grounding Based on the recent advances in RL for reasoning enhance, we'll explore how to fine-tune Vision Language Models (VLMs) using Group Relative Policy Optimization (GRPO). We'll walk through a complete training pipeline, from dataset preparation to evaluating results. 1. Modified GRPO for Vision Language Models Adapting GRPO for Vision Language Models Based on the great tutorial mini-R1 tutorial, we provided the modified version of the approach for training vision language models using the same reasoning approach. To…
saved by
related reading
- Less Detail, Better Answers: Degradation-Driven Prompting for VQAarxiv.org
- A vision researcher’s guide to some RL stuff: PPO & GRPO - Yuge (Jimmy) Shiyugeten.github.io
- Why GRPO is Important and How it Worksghost.oxen.ai
- GRPO++: Tricks for Making RL Actually Workcameronrwolfe.substack.com
- GRPO Trainer · Hugging Facehuggingface.co
- State of RL for reasoning LLMs | A. Weersaweers.de
- Tutorial: Train your own Reasoning model with GRPO | Unsloth Documentationdocs.unsloth.ai
- Lightweight Guide to understanding GRPO and RL principles - Musings of Muraligitlostmurali.com
- Interactive Visualization of RL Algorithms for LLM Trainingzcy233035.github.io
- Pretrained to Imagine, Fine-Tuned to Act: The Rise of World-Action Models | NVIDIA Technical Blogdeveloper.nvidia.com
- RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedbackarxiv.org
- Video models are zero-shot learners and reasonersarxiv.org