English(EN) English Calibration Erodes Lithuanian in Expert-Pruned Mixture-of-Experts Language Models

研究发现英语校准未能成功用于立陶宛语MoE模型

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-05 08:39

一项关于专家剪枝的混合专家（MoE）语言模型的新研究表明，英语校准并不能有效地迁移到立陶宛语。当使用英语校准数据对MoE模型进行剪枝时，立陶宛语的理解得分显著下降，而英语的理解能力基本不受影响，甚至略有提高。这种不对称性表明，MoE模型需要针对特定语言进行校准，以在不同语言中保持性能。 AI

影响强调了MoE模型需要针对特定语言进行校准，以避免非英语语言的性能下降。

排序理由详细介绍语言模型校准研究结果的研究论文。[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; 详细介绍语言模型校准研究结果的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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Hugging Face Daily Papers TIER_1 English(EN) · 2026-11-05 08:39

英文校准在专家精简的混合专家语言模型中削弱立陶宛语

Expert pruning compresses Mixture-of-Experts (MoE) language models by removing the experts that a calibration set marks as unimportant. Studies of high-resource languages largely find that English calibration transfers well to other languages. We test this for Lithuanian: we prun…