openvlthinker-vision-reasoning

Train vision-language models for complex reasoning by alternating SFT (supervised fine-tuning via text-only reasoning models) and curriculum RL (Group Relative Policy Optimization). Progressively improve through iterative cycles where each iteration generates better training data.

Independent GitHub snapshot · Automated classification · Original documentation governs