What Makes a Good Unmasking Policy? A Controlled Study of Learned Unmasking in Diffusion Language Models.
arXiv:2610.31576v1 Announce Type: new Abstract: Masked diffusion language models generate tokens in parallel, but their efficiency depends on which predictions are committed. Learned unmasking policies improve the speed--accuracy trade-off, yet differ in super
arXiv cs.AIResearch source·