On the Error-Correcting Effects of Stochasticity in Discrete Diffusion 事件

On the Error-Correcting Effects of Stochasticity in Discrete Diffusion arXiv:2605.26582v1 Announce Type: cross Abstract: Discrete diffusion models achieve strong performance in text and image generation, but their inference remains slow and must inherently balance sampling efficiency and sample quality. In this work, we present a systematic study of how the \emph{degree of stochasticity} in Markov transitions governs the sampling tradeoff. We show that highly deterministic transitions converge