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Aug, 2023
Halo: 开源弱大语言模型的幻象估计和减少
Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models
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Mohamed Elaraby, Mengyin Lu, Jacob Dunn, Xueying Zhang, Yu Wang...
TL;DR
通过引入HaloCheck框架,本研究针对较弱的开源大语言模型BLOOM 7B,测量和减少其幻觉现象,并探索了知识注入和师生方法等技术,有效地减少了这些模型在具有挑战性领域中的幻觉。
Abstract
large language models
(LLMs) have revolutionized Natural Language Processing (NLP). Although convenient for research and practical applications, open-source LLMs with fewer parameters often suffer from severe
hallucinat
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