unmasking-diffusion-policies

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.

Independent GitHub snapshot · Automated classification · Original documentation governs