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English(EN) Influcoder: Distilling Decoders' Gradient Influence Rankings into an Encoder for Data Attribution

Influcoder 为 LLM 提供可扩展的数据归因

研究人员开发了 Influcoder,这是一种旨在有效归因单个训练数据样本对大型语言模型 (LLM) 影响的新方法。该方法解决了现有影响函数方法的可扩展性和速度限制,使其适用于大型数据集。Influcoder 旨在通过识别可能导致模型出现不良行为(如毒性)的样本来帮助策展高质量数据集。 AI

影响 能够更有效地对大型语言模型进行数据集策展和调试。

排序理由 该集群描述了一篇详细介绍 LLM 数据归因新方法的最新研究论文。

在 arXiv cs.CL 阅读 →

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Influcoder 为 LLM 提供可扩展的数据归因

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报道来源 [2]

  1. arXiv cs.CL TIER_1 English(EN) · Dimitri Kachler, Damien Sileo, Pascal Denis ·

    Influcoder:将解码器的梯度影响排名提炼成用于数据归因的编码器

    arXiv:2606.13668v1 Announce Type: new Abstract: With the growth of LLMs' (Large Language Models) capabilities, there has been an increasing push to curate high quality datasets by filtering samples in the training data. In general, Data Attribution (DA) methods aim to estimate ho…

  2. arXiv cs.CL TIER_1 English(EN) · Pascal Denis ·

    Influcoder:将解码器的梯度影响排名提炼到编码器中以进行数据归因

    With the growth of LLMs' (Large Language Models) capabilities, there has been an increasing push to curate high quality datasets by filtering samples in the training data. In general, Data Attribution (DA) methods aim to estimate how individual samples in a training dataset can p…