Large Language Models for Code Summarization

Balázs Szalontai, Gergő Szalay, Tamás Márton, Anna Sike, Balázs Pintér +1 more
5/29/2024
cs.AIcs.LGcs.PL

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Abstract

Recently, there has been increasing activity in using deep learning for software engineering, including tasks like code generation and summarization. In particular, the most recent coding Large Language Models seem to perform well on these problems. In this technical report, we aim to review how these models perform in code explanation/summarization, while also investigating their code generation capabilities (based on natural language descriptions).

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Cite this paper

@article{szalontai2024large,
  title  = {Large Language Models for Code Summarization},
  author = {Balázs Szalontai and Gergő Szalay and Tamás Márton and Anna Sike and Balázs Pintér and Tibor Gregorics},
  year   = {2024},
  eprint = {2405.19032},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2405.19032v1}
}

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