Large Language Models for Code Summarization

Balázs Szalontai; Gergő Szalay; Tamás Márton; Anna Sike; Balázs Pintér; Tibor Gregorics

Large Language Models for Code Summarization

Artificial Intelligence 2024-05-30 v1 Machine Learning Programming Languages Software Engineering

Authors: Balázs Szalontai , Gergő Szalay , Tamás Márton , Anna Sike , Balázs Pintér , Tibor Gregorics

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).

Keywords

code generation text summarization language modeling

Cite

@article{arxiv.2405.19032,
  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},
  journal= {arXiv preprint arXiv:2405.19032},
  year   = {2024}
}

Comments

technical report with 11 pages, 1 figure, 10 tables

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