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Less Uniform Discrete Diffusion is More Powerful and Scalable

This story is from 2026-09-30. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.35817v1 Announce Type: new Abstract: Although uniform diffusion language models (UDLMs) represent a promising diffusion paradigm, scaling them remains challenging. We identify the core obstacle as an over-uniform training objective and condition-target confusion during sampling. To addre…

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  1. 2026-09-30 04:00 · arXiv cs.CL
    Less Uniform Discrete Diffusion is More Powerful and Scalable

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