Using an LLM to Help With Code Understanding

Author:

Nam Daye1ORCID,Macvean Andrew2ORCID,Hellendoorn Vincent1ORCID,Vasilescu Bogdan1ORCID,Myers Brad1ORCID

Affiliation:

1. Carnegie Mellon University, Pittsburgh, Pennsylvania, USA

2. Google, Mountain View, California, USA

Publisher

ACM

Reference78 articles.

1. Matin Amoozadeh, David Daniels, Daye Nam, Stella Chen, Michael Hilton, Sruti Srinivasa Ragavan, and Mohammad Amin Alipour. 2023. Trust in Generative AI among students: An Exploratory Study. arXiv:2310.04631 Retrieved from https://arxiv.org/abs/2310.04631.

2. Grounded Copilot: How Programmers Interact with Code-Generating Models

3. Exempla gratis (E.G.): code examples for free

4. Tinkering and gender in end-user programmers' debugging

5. Bokeh. 2023. Bokeh. https://bokeh.org/ Retrieved: 2024-01-11.

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