Concept扩散语言模型 / DLM
Diffusion Language Model
A class of text generation models drawing on the ideas of image diffusion models, which iteratively refine an entire sequence through forward noising and reverse denoising processes, offering parallel generation and a global view; variants include MDLM and UDLM.
Timeline (last 90 days)
Oct 12
A Diffusion Language Model (DLM) first initializes the entire sequence as noise and then restores the text through multiple denoising steps; it can process the whole sequence in parallel and naturally supports scoring over a fixed candidate set.
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