Generating Diverse Code Explanations using the GPT-3 Large Language Model

Author:

MacNeil Stephen1,Tran Andrew1,Mogil Dan1,Bernstein Seth1,Ross Erin1,Huang Ziheng2

Affiliation:

1. Temple University, USA

2. University of California, San Diego, USA

Publisher

ACM

Reference17 articles.

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2. Language models are few-shot learners;Brown Tom;Advances in Neural Information Processing Systems,2020

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4. Mark Chen , Jerry Tworek , Heewoo Jun , Qiming Yuan , Henrique Ponde de Oliveira Pinto , Jared Kaplan, Harri Edwards, Yuri Burda , Nicholas Joseph, Greg Brockman , 2021 . Evaluating large language models trained on code. arXiv preprint arXiv:2107.03374(2021). Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, 2021. Evaluating large language models trained on code. arXiv preprint arXiv:2107.03374(2021).

5. Bringing "High-level" Down to Earth

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