Compositional API Recommendation for Library-Oriented Code Generation-Reference-Cited by-同舟云学术

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Compositional API Recommendation for Library-Oriented Code Generation

Published:2024-04-15 Issue: Volume:5 Page:87-98
ISSN:
Container-title:Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension
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Short-container-title:

Author:

Ma Zexiong¹^ORCID,An Shengnan²^ORCID,Xie Bing¹^ORCID,Lin Zeqi³^ORCID

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

Link

https://dl.acm.org/doi/pdf/10.1145/3643916.3644403

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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