A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

The emergence of large language models (LLMs) has marked a significant breakthrough in natural language processing (NLP), fueling a paradigm shift in information acquisition. Nevertheless, LLMs are prone to hallucination, generating plausible yet nonfactual content. This phenomenon raises significan...

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Bibliographische Detailangaben

Veröffentlicht in:	ACM transactions on information systems 2024-11
Hauptverfasser:	Huang, Lei, Yu, Weijiang, Ma, Weitao, Zhong, Weihong, Feng, Zhangyin, Wang, Haotian, Chen, Qianglong, Peng, Weihua, Feng, Xiaocheng, Qin, Bing, Liu, Ting
Format:	Artikel
Sprache:	eng
Schlagworte:	Computing methodologies General and reference Natural language generation Surveys and overviews
Online-Zugang:	Volltext
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