Qibin Hou

Annotations can be transformed into powerful oracle rollouts, dramatically enhancing the efficiency of reinforcement learning for video MLLMs.

Behavior-derived rewards enable MLLMs to generate effective recommendations without user-specific data at inference, outperforming traditional methods.

Achieving high-fidelity stylized 3D asset generation in under 10 seconds could revolutionize content creation in gaming and animation.