Yu, H., Shen, B., Ran, D., Zhang, J., Zhang, Q., Ma, Y., Liang, G., Li, Y., Wang, Q., & Xie, T. (2024, Mai 1). Coder Eval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models. Gehalten auf der. https://doi.org/10.1145/3597503.3623316
ISO-690 (author-date, English)YU, Hao, SHEN, Bo, RAN, Dezhi, ZHANG, Jiaxin, ZHANG, Qi, MA, Yuchi, LIANG, Guangtai, LI, Ying, WANG, Qianxiang und XIE, Tao, 2024. Coder Eval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models. In: . 1 Mai 2024.
Modern Language Association 9th editionYu, H., B. Shen, D. Ran, J. Zhang, Q. Zhang, Y. Ma, G. Liang, Y. Li, Q. Wang, und T. Xie. Coder Eval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models. 2024, https://doi.org/10.1145/3597503.3623316.
Mohr Siebeck - Recht (Deutsch - Österreich)Emerald - Harvard
Yu, H., Shen, B., Ran, D., Zhang, J., Zhang, Q., Ma, Y., Liang, G., Li, Y., Wang, Q. und Xie, T. (2024), „Coder Eval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models.“, in , Bd. , verfügbar unter:https://doi.org/10.1145/3597503.3623316.