https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=llm+hallucination&oq=llm+hallucinatioN https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=llm+...

https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=llm+hallucination&oq=llm+hallucinatioN https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=llm+... https://www.medpagetoday.com/ophthalmology/generalophthalmology/105672#:~:text=The%20mean%20hallucination%20rate%20for,and%2029%25%20with%20version%204.0 https://www.medpagetoday.com/ophthalmology/generalophthalmol.... - Survey of Hallucination in Natural Language Generation](https://arxiv.org/abs/2202.03629 https://arxiv.org/abs/2202.03629) (Ji et al., 2022) - [How Language Model Hallucinations Can Snowball](https://arxiv.org/abs/2305.13534 https://arxiv.org/abs/2305.13534) (Zhang et al., 2023) - [A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity](https://arxiv.org/abs/2302.04023 https://arxiv.org/abs/2302.04023) (Bang et al., 2023) - [Contrastive Learning Reduces Hallucination in Conversations](https://arxiv.org/abs/2212.10400 https://arxiv.org/abs/2212.10400) (Sun et al., 2022) - [Self-Consistency Improves Chain of Thought Reasoning in Language Models](https://arxiv.org/abs/2203.11171 https://arxiv.org/abs/2203.11171) (Wang et al., 2022) - [SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models](https://arxiv.org/abs/2303.08896 https://arxiv.org/abs/2303.08896) ( Manakul et al., 2023)