Compositional API Recommendation for Library-Oriented Code Generation

Author:

Ma Zexiong1ORCID,An Shengnan2ORCID,Xie Bing1ORCID,Lin Zeqi3ORCID

Affiliation:

1. Peking University, Beijing, China

2. Xi'an Jiaotong University, Xi'an, China

3. Microsoft Research, Beijing, China

Funder

National Key Research and Development Program of China

Publisher

ACM

Reference50 articles.

1. 2022. ADA Embedding. https://openai.com/blog/new-and-improved-embedding-model.

2. 2022. ChatGPT. https://chat.openai.com/.

3. 2022. GitHub Copilot. https://github.com/features/copilot.

4. Shengnan An Zeqi Lin Qiang Fu Bei Chen Nanning Zheng Jian-Guang Lou and Dongmei Zhang. 2023. How Do In-Context Examples Affect Compositional Generalization? arXiv:2305.04835 [cs.CL]

5. Patrick Bareiß, Beatriz Souza, Marcelo d'Amorim, and Michael Pradel. 2022. Code generation tools (almost) for free? a study of few-shot, pre-trained language models on code. arXiv preprint arXiv:2206.01335 (2022).

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