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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…

arXiv — cs.AIBy: Jiayu Liu, Ruizhi Zhao, Tianyun Ji, Yee Whye Teh, Zhenya Huang, Ning MiaoOctober 12, 2026 (Oct 12)
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  • 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…
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One-Step Text Generation by Seq-Drifting

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