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English(EN) Gumbel Straight Flow: Distilling Autoregressive Models into One-step Flow Maps

新的Gumbel Straight Flow模型可蒸馏自回归语言模型

研究人员推出了一种名为Gumbel Straight Flow (GSF)的新型语言模型,它将自回归模型蒸馏为单步流图。GSF利用预训练自回归模型的噪声-数据耦合,在噪声和序列表示之间创建不相交的路径。与现有的少步语言生成方法相比,该方法在各种预训练和下游任务上均表现出卓越的性能。 AI

影响 通过将自回归模型蒸馏为单步流图,引入了一种更高效的语言生成技术。

排序理由 该集群描述了arXiv论文中提出的一种新方法和模型。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的Gumbel Straight Flow模型可蒸馏自回归语言模型

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该集群描述了arXiv论文中提出的一种新方法和模型。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yeongmin Kim, Arnaud Doucet, Andrew Campbell, Valentin De Bortoli, Thomas Mensink, David Ruhe ·

    Gumbel Straight Flow:将自回归模型蒸馏为单步流模型

    arXiv:2610.00497v1 Announce Type: cross Abstract: We present Gumbel Straight Flow (GSF), a continuous flow map language model that leverages the noise-data coupling of a pretrained autoregressive language (AR) model. We theoretically demonstrate that the coupling between Gumbel n…