Cognitive Mirage: A Review of Hallucinations in Large Language Models

Hongbin Ye, Tong Liu, Aijia Zhang, Wei Hua, Weiqiang Jia
9/13/2023
cs.CLcs.AIcs.LG

No official code found. Best implementation: hongbinye/Cognitive-Mirage-Hallucinations-in-LLMs (49 stars, MIT, last commit 2023-10-21).

Abstract

As large language models continue to develop in the field of AI, text generation systems are susceptible to a worrisome phenomenon known as hallucination. In this study, we summarize recent compelling insights into hallucinations in LLMs. We present a novel taxonomy of hallucinations from various text generation tasks, thus provide theoretical insights, detection methods and improvement approaches. Based on this, future research directions are proposed. Our contribution are threefold: (1) We provide a detailed and complete taxonomy for hallucinations appearing in text generation tasks; (2) We provide theoretical analyses of hallucinations in LLMs and provide existing detection and improvement methods; (3) We propose several research directions that can be developed in the future. As hallucinations garner significant attention from the community, we will maintain updates on relevant research progress.

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Cite this paper

@article{ye2023cognitive,
  title  = {Cognitive Mirage: A Review of Hallucinations in Large Language Models},
  author = {Hongbin Ye and Tong Liu and Aijia Zhang and Wei Hua and Weiqiang Jia},
  year   = {2023},
  eprint = {2309.06794},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2309.06794v1}
}

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