2 papers
cs.CL2026
Sumi: Open Uniform Diffusion Language Model from Scratch
Mengyu Ye, Keito Kudo, Wataru Ikeda +3
Diffusion models have become a promising alternative to autoregressive models. Among these, uniform diffusion language models (UDLMs) permit any token to be updated at any step, in…
cs.CL2026
Unlocking Prompt Infilling Capability for Diffusion Language Models
Yoshinari Fujinuma, Keisuke Sakaguchi
Masked diffusion language models (dLMs) generate text through bidirectional denoising, yet this capability remains locked for infilling prompts. This limitation is an artifact of t…