AI RESEARCH
From Scores to Gibbs Correctors: Accelerating Uniform-Rate Discrete Diffusion Models
arXiv CS.LG
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ArXi:2605.27352v1 Announce Type: new Discrete diffusion models have achieved strong empirical performance in text and other symbolic domains, but, especially for uniform-rate models, they often require many steps to generate a single sample. Existing acceleration methods either rely on