Yushu Wang

Vision-G1: Towards General Reasoning Vision-Language Models via Reinforcement Learning

Recent vision-language models (VLMs) show strong reasoning capabilities through training with reinforcement learning from verifiable rewards (RLVR). Despite their impressive capabilities, current VLMs focus on a limited range of reasoning tasks, such as mathematical and logical reasoning, due to the