Self-Augmenting Retrieval for Diffusion Language Models.

arXiv:2606.06474v2 Announce Type: replace-cross Abstract: Diffusion language models generate text by iteratively denoising an entire response in parallel, holding a noisy draft of the answer at every step. We show that these intermediate states surface salient