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One-Step Text Generation by Seq-Drifting

arXiv:2610.12879v1 Announce Type: new Abstract: Diffusion language models generate tokens in parallel, but still require multiple sampling steps to produce high-quality text. In this paper, we investigate whether a model can learn to generate an entire sequence in a single forward pass. We propose…

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  1. 2026-10-12 04:00 · arXiv cs.AI
    One-Step Text Generation by Seq-Drifting

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