Haiwen Diao

Rubric-based scoring can transform how vision-language models ground their responses, leading to substantial improvements in reasoning accuracy.

Models trained on VBVR-Pro not only excel in native visual reasoning tasks but also reveal critical insights into the effectiveness of different generative modalities.

A single unified model can outperform specialized systems across various computer vision tasks, all without the need for custom architectures.