BriefGPT.xyz
Oct, 2023
大型语言模型的领域自适应重构为适应-检索-修订
Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise
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Zhen wan, Yating Zhang, Yexiang Wang, Fei Cheng, Sadao Kurohashi
TL;DR
通过适应、检索和修订的过程,这篇论文介绍了一个简单而有效的领域适应框架,将大型语言模型GPT-4应用到特定领域的内容生成,以增加准确性和避免内容幻觉。
Abstract
While large
language models
(LLMs) like
gpt-4
have recently demonstrated astonishing zero-shot capabilities in general domain tasks, they often generate content with hallucinations in specific domains such as
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