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English(EN) Learning from Teacher Continuations at Student States

新的OLIVE方法增强了语言模型从教师到学生的蒸馏

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员推出了一种新颖的知识蒸馏方法OLIVE（OnLine InterVEntion），用于将大型教师语言模型中的知识蒸馏到小型学生模型中。与现有方法可能遇到的顺序协变量偏移或碎片化监督等问题不同，OLIVE允许学生模型生成前缀，然后由教师模型续写。之后，学生模型会根据这些教师生成的token进行更新。与以前的蒸馏技术相比，这种方法在推理性能和效率方面得到了提升，甚至在特定任务上超越了离线监督微调。 AI

影响 这项新的蒸馏技术可能有助于更有效地训练小型、能力强的语言模型。

排序理由 这是一篇详细介绍模型蒸馏新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

新的OLIVE方法增强了语言模型从教师到学生的蒸馏

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这是一篇详细介绍模型蒸馏新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [2]

  1. arXiv cs.CL TIER_1 English(EN) · Haojin Wang, Dylan Zhang, Huaibo Chen, Suhao Yu, Yihang Sun, Zhanyang Jin, Jiaying Ye, Dianqi Li, Prasanna Sattigeri, Kamal Youcef-Toumi, Hao Peng ·

    从学生状态下的教师续写中学习

    arXiv:2609.36246v1 Announce Type: new Abstract: We present OLIVE (OnLine InterVEntion). At each iteration, the evolving student policy generates a new prefix, the teacher continues it autoregressively, and the student is updated using cross-entropy computed on the teacher-generat…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    从学生状态下的教师续写中学习

    We present OLIVE (OnLine InterVEntion). At each iteration, the evolving student policy generates a new prefix, the teacher continues it autoregressively, and the student is updated using cross-entropy computed on the teacher-generated tokens. Each design choice targets a correspo…

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