English(EN) Is Knowledge Distillation Actually Greener? A Case Study in Machine Translation

研究质疑知识蒸馏在机器翻译中的环境效益

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-02 04:00

一项发表在arXiv上的新研究调查了知识蒸馏（KD）在机器翻译中的环境影响。研究人员使用机器学习生命周期评估工具评估了KD方法，同时考虑了模型整个生命周期中的翻译质量和计算成本。研究结果表明，分摊KD成本所需的部署量高度依赖于批处理，可能相差几个数量级。 AI

影响这项研究强调了在开发和部署机器翻译模型时，除了性能之外，还需要考虑环境成本。

排序理由发表在arXiv上的研究论文，详细介绍了机器翻译的案例研究。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CL TIER_1 English(EN) · Joseph Attieh, Timothee Mickus, Anne-Laure Ligozat, Aur\'elie N\'ev\'eol, J\"org Tiedemann · 2026-09-02 04:00

知识蒸馏真的更环保吗？机器翻译案例研究

arXiv:2602.09691v2 Announce Type: replace Abstract: Knowledge distillation (KD) is a technique to compress a larger teacher system into a smaller student. In machine translation, KD is commonly evaluated through translation quality and inference efficiency, without jointly accoun…