Guiding ChatGPT for Better Code Generation: An Empirical Study
Author:
Affiliation:
1. School of Big Data and Software Engineering, Chongqing University,China
2. School of Software Engineering, Sun Yat-sen University,China
Funder
China Postdoctoral Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10589599/10589610/10589825.pdf?arnumber=10589825
Reference63 articles.
1. Synchromesh: Reliable code generation from pre-trained language models;Poesia;arXiv preprint,2022
2. Incorporating External Knowledge through Pre-training for Natural Language to Code Generation
3. Graphcodebert: Pre-training code representations with data flow;Guo;arXiv preprint,2020
4. Codexglue: A machine learning benchmark dataset for code understanding and generation;Lu;arXiv preprint,2021
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