Role play with large language models-Reference-Cited by-同舟云学术

Role play with large language models

Published:2023-11-08 Issue:7987 Volume:623 Page:493-498
ISSN:0028-0836
Container-title:Nature
language:en
Short-container-title:Nature

Author:

Shanahan Murray^ORCID,McDonell Kyle,Reynolds Laria

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

https://www.nature.com/articles/s41586-023-06647-8.pdf

Reference30 articles.

1. Shanahan, M. Talking about large language models. Preprint at https://arxiv.org/abs/2212.03551 (2023). This paper cautions against the use of anthropomorphic terms to describe the behaviour of large language models.

2. Andreas, J. Language models as agent models. In Findings of the Association for Computational Linguistics: EMNLP 2022 5769–5779 (Association for Computational Linguistics, 2022). This paper hypothesizes that LLMs can be understood as modelling the beliefs, desires and (communicative) intentions of an agent, and presents preliminary evidence for this in the case of GPT-3.

3. Park, J. S. et al. Generative agents: interactive simulacra of human behavior. Preprint at https://arxiv.org/abs/2304.03442 (2023).

4. Janus. Simulators. LessWrong Online Forum https://www.lesswrong.com/posts/vJFdjigzmcXMhNTsx/ (2022). This blog post introduced the idea that a large language model maintains a set of simulated characters in superposition.

5. Wei, J. et al. Emergent abilities of large language models. Trans. Mach. Learn. Res. https://openreview.net/forum?id=yzkSU5zdwD (2022).

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