Preventing and Detecting Misinformation Generated by Large Language Models

Author:

Liu Aiwei1ORCID,Sheng Qiang2ORCID,Hu Xuming3ORCID

Affiliation:

1. Tsinghua University, Beijing, China

2. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

3. The Hong Kong University of Science and Technology (Guangzhou), Beijing, China

Publisher

ACM

Reference63 articles.

1. Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023. Gpt-4 technical report. arXiv preprint arXiv:2303.08774 (2023).

2. Ebtesam Almazrouei Hamza Alobeidli Abdulaziz Alshamsi Alessandro Cappelli Ruxandra Cojocaru Mérouane Debbah Étienne Goffinet Daniel Hesslow Julien Launay Quentin Malartic et al. 2023. The falcon series of open language models. arXiv preprint arXiv:2311.16867 (2023).

3. Anthropic. 2024. The Claude 3 Model Family: Opus Sonnet Haiku. Online. Available: https://www-cdn.anthropic.com/de8ba9b01c9ab7cbabf5c33b80b7bbc618857627/Model_Card_Claude_3.pdf.

4. Akari Asai, Sewon Min, Zexuan Zhong, and Danqi Chen. 2023. Tutorial Proposal: Retrieval-based Language Models and Applications. In The 61st Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts. 41.

5. Yuntao Bai Andy Jones Kamal Ndousse Amanda Askell Anna Chen Nova DasSarma Dawn Drain Stanislav Fort Deep Ganguli Tom Henighan et al. 2022a. Training a helpful and harmless assistant with reinforcement learning from human feedback. arXiv preprint arXiv:2204.05862 (2022).

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