English(EN) Language Exposure Matters: Distribution and Order in Multilingual BabyLM Pre-training

多语言 BabyLM 预训练偏好荷兰语为主、混合暴露

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-15 04:00

研究人员探讨了在有限数据下，语言暴露的分布和顺序如何影响多语言预训练。他们对 BabyLM 的研究，使用了英语、荷兰语和标准中文，发现混合训练（所有语言同时暴露）优于课程学习。有趣的是，以荷兰语为主的配置取得了最佳的整体性能，这表明均衡分布并非总是最优。 AI

影响表明语言特定主导和同时暴露可以提高有限数据下多语言模型的性能。

排序理由学术论文，详细介绍了一种新的多语言模型预训练方法。[lever_c_demoted from research: ic=1 ai=1.0]

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本文如何被排名

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Newsworthiness bucket: Tool; 学术论文，详细介绍了一种新的多语言模型预训练方法。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.CL TIER_1 English(EN) · JiWoo Hwang, Lukas Edman, Alexander Fraser · 2026-10-15 04:00

语言暴露很重要：多语言 BabyLM 预训练中的分布与顺序

arXiv:2610.20102v1 Announce Type: new Abstract: We investigate two aspects of multilingual pre-training with limited data, namely how language exposure is distributed across English, Dutch, and Chinese, and how that exposure is ordered during training. In particular, we compare b…