Hallucination detection: Robustly discerning reliable answers in Large Language Models

Hallucination detection: Robustly discerning reliable answers in Large Language Models

Large language models (LLMs) have gained widespread adoption in various natural language processing tasks, including question answering and dialogue systems. However, a major drawback of LLMs is the issue of hallucination, where they generate unfaithful or inconsistent content that deviates from the...

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書目詳細資料
Main Authors:	CHEN, Yuyuan, FU, Qiang, YUAN, Yichen, WEN, Zhihao, FAN, Ge, LIU, Dayiheng, ZHANG, Dongmei, LI, Zhixu, XIAO, Yanghua
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2023
主題:	Hallucination Detection Large Language Models Reliable Answers Artificial Intelligence and Robotics Numerical Analysis and Scientific Computing Programming Languages and Compilers
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/8464 https://ink.library.smu.edu.sg/context/sis_research/article/9467/viewcontent/3583780.3614905_pv.pdf
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