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Self-Augmenting Retrieval for Diffusion Language Models

Paul J\"unger, Justin Lovelace, Linxi Zhao, Dongyoung Go, Kilian Q. Weinberger
Jun 5, 2026 at 04:00
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arXiv:2606.06474v1 Announce Type: cross Abstract: Discrete diffusion language models generate text by iteratively denoising an entire response in parallel. At each step, they predict tentative tokens for every masked position, committing the confident predictions to the output and discarding the unconfident ones. We show that the discarded tokens...

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