computer-code-5

Code Comment Generation

3260 papers • 126 benchmarks • 313 datasets

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PyTorrent

notebookcdg

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Most implemented papers

CoNT: Contrastive Neural Text Generation

Xipeng Qiu, Lingpeng Kong, Kai Lv, Xuanjing Huang, Chen An, Jiangtao Feng•Sat May 28 2022

Experimental results show that CoNT clearly outperforms the conventional training framework on all the ten benchmarks with a convincing margin, and achieves new state-of-the-art on summarization, code comment generation (without external data) and data-to-text generation.

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Retrieve and Refine: Exemplar-Based Neural Comment Generation

Bolin Wei•Tue Oct 22 2019

This work proposes to use the existing comments of similar source code as exemplars to guide the comment generation process, based on an open source search engine, and demonstrates that this model significantly outperforms the state-of-the-art methods.

135 0

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Investigating the Efficacy of Large Language Models for Code Clone Detection

Mohamad Khajezade, J. Wu, F. H. Fard, Gema Rodríguez-Pérez, M. S. Shehata•Tue Jan 23 2024

This preliminary exploratory study investigated the applicability of LLMs for Code Clone Detection (CCD), a non-generative task, using ChatGPT to detect Type-4 code clones in Java-Java and Java-Ruby pairs in a zero-shot setting.

30 0

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