Science in the age of large language models
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy
Link
https://www.nature.com/articles/s42254-023-00581-4.pdf
Reference12 articles.
1. Weidinger, L. et al. Taxonomy of risks posed by language models. in FAccT ‘22: 2022 ACM Conference on Fairness, Accountability, and Transparency 214–229 (ACM, 2022).
2. Bender, E. et al. On the dangers of stochastic parrots: can language models be too big? in FAccT ‘21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency 610–623 (ACM, 2021).
3. Shanahan, M. Talking about large language models. Preprint at https://doi.org/10.48550/arXiv.2212.03551 (2022).
4. Bender, E. & Koller, A. Climbing towards NLU: on meaning, form, and understanding in the age of data. in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics 5185–5198 (ACL, 2020).
5. Kasirzadeh, A. & Gabriel, I. In conversation with artificial intelligence: aligning language models with human values. Philos. Technol. 36, 27 (2023).
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