Xin Ding

This work proposes TRACE, a generation-process-aware framework for AI-generated video detection that generalizes effectively across diverse generators, substantially outperforming prior state-of-the-art methods on unseen open- and closed-source video generation models.

Robots can now autonomously evolve their manipulation skills in real-time, leveraging past interactions without needing to update their underlying policy models.