LLM 評審觀點
The paper introduces an on‑policy adversarial flow‑distillation scheme that removes the need for teacher scores or full trajectory data, offering a fresh approach to compressing heterogeneous video generators. This could substantially lower inference costs for autoregressive video models, a high‑impact direction for both research and industry. The method is accompanied by clear algorithmic details and likely open‑source implementation, making it immediately useful for engineers working on video generation.