BriefGPT.xyz
Oct, 2023
用合成任务教授语言模型减少产生幻觉
Teaching Language Models to Hallucinate Less with Synthetic Tasks
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Erik Jones, Hamid Palangi, Clarisse Simões, Varun Chandrasekaran, Subhabrata Mukherjee...
TL;DR
通过合成任务对大型语言模型进行系统信息优化,可降低其在真实任务中的错误生成,从而减少幻觉现象。
Abstract
large language models
(LLMs) frequently hallucinate on
abstractive summarization
tasks such as document-based question-answering, meeting summarization, and clinical report generation, even though all necessary i
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