A glance at in-context learning

Author:

Wu Yongliang,Yang Xu

Publisher

Springer Science and Business Media LLC

Reference10 articles.

1. Radford A, Kim J W, Hallacy C, Ramesh A, Goh G, Agarwal S, Sastry G, Askell A, Mishkin P, Clark J, Krueger G, Sutskever I. Learning transferable visual models from natural language supervision. In: Proceedings of the 38th International Conference on Machine Learning. 2021, 8748–8763

2. Sun K, Luo X, Luo M Y. A survey of pretrained language models. In: Proceedings of International Conference on Knowledge Science, Engineering and Management. 2022, 442–456

3. Brown T B, Mann B, Ryder N, Subbiah M, Kaplan J D, Dhariwal P, Neelakantan A, Shyam P, Sastry G, Askell A, Agarwal S, Herbert-Voss A, Krueger G, Henighan T, Child R, Ramesh A, Ziegler D M, Wu J, Winter C, Hesse C, Chen M, Sigler E, Litwin M, Gray S, Chess B, Clark J, Berner C, McCandlish S, Radford A, Sutskever I, Amodei D. Language models are few-shot learners. In: Proceedings of the 34th International Conference on Neural Information Processing Systems. 2020, 159

4. Hofstadter D R, Sander E. Surfaces and Essences: Analogy as the Fuel and Fire of Thinking. New York: Basic Books, 2013

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