Bayesian Entropy-based Reordering for Calibrated Diffusion Language Models.

arXiv:2610.05125v1 Announce Type: cross Abstract: Masked Diffusion Language Models (MDLMs) generate sequences by iteratively replacing masked tokens with model predictions. At each denoising step, the decoder chooses which positions are sufficiently confident