Specifically, we design language prompts to describe all cases of event appearance for each video.

Diffusion Transformers (DiT) have attracted significant attention in research. However, they suffer from a slow convergence rate.

In the policy evaluation steps, the critic is updated to capture the soft Q-function. In the policy improvement steps, the actor is adjusted in accordance with the updated soft Q-function.