Denoising Time Matters:Diverse Generation in Diffusion Language Models.

arXiv:2601.22629v3 Announce Type: replace-cross Abstract: Diffusion language models (Diffusion-LMs) generate text through iterative denoising, exposing a temporal structure that is largely absent from autoregressive decoding. In this paper, we show that this t