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Mar, 2024
构建准确的基于翻译的语言感知 LLMS 的指导调优
Building Accurate Translation-Tailored LLMs with Language Aware Instruction Tuning
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Changtong Zan, Liang Ding, Li Shen, Yibing Zhen, Weifeng Liu...
TL;DR
通过两阶段微调算法,改进了大型语言模型(LLMs)遵循翻译指示的能力,特别是翻译方向信息,从而有效降低了错位翻译比率(平均降低53.3%),提高了翻译质量(平均增加5.7 SacreBLEU和16.4 BLEURT)。
Abstract
translation-tailored
large language models
(LLMs) exhibit remarkable translation capabilities, even competing with supervised-trained commercial translation systems. However,
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