unmasking-diffusion-policies

【效率与协作】Learn which tokens to unmask during diffusion sampling via reinforcement learning instead of heuristics. Policies eliminate manual tuning and scale across block sizes—crucial when semi-autoregressive generation needs dynamic, learned unmasking strategies.

独立 GitHub 快照 · 自动分类 · 以原作者文档为准