Emergent analogical reasoning in large language models
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DOI: 10.1038/s41562-023-01659-w
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Cited by:
- Yan Leng & Yuan Yuan, 2023. "Do LLM Agents Exhibit Social Behavior?," Papers 2312.15198, arXiv.org, revised Oct 2024.
- Jian-Qiao Zhu & Haijiang Yan & Thomas L. Griffiths, 2024. "Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice," Papers 2405.19313, arXiv.org.
- Siting Estee Lu, 2024. "Strategic Interactions between Large Language Models-based Agents in Beauty Contests," Papers 2404.08492, arXiv.org, revised Oct 2024.
- Jeongbin Kim & Matthew Kovach & Kyu-Min Lee & Euncheol Shin & Hector Tzavellas, 2024. "Learning to be Homo Economicus: Can an LLM Learn Preferences from Choice," Papers 2401.07345, arXiv.org.
- Ahmad A. Toumeh, 2024. "Assessing the potential integration of large language models in accounting practices: evidence from an emerging economy," Future Business Journal, Springer, vol. 10(1), pages 1-15, December.
- James W. A. Strachan & Dalila Albergo & Giulia Borghini & Oriana Pansardi & Eugenio Scaliti & Saurabh Gupta & Krati Saxena & Alessandro Rufo & Stefano Panzeri & Guido Manzi & Michael S. A. Graziano & , 2024. "Testing theory of mind in large language models and humans," Nature Human Behaviour, Nature, vol. 8(7), pages 1285-1295, July.
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