Large Language Models for Code Summarization

التفاصيل البيبلوغرافية
العنوان: Large Language Models for Code Summarization
المؤلفون: Szalontai, Balázs, Szalay, Gergő, Márton, Tamás, Sike, Anna, Pintér, Balázs, Gregorics, Tibor
سنة النشر: 2024
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Computer Science - Programming Languages, Computer Science - Software Engineering
الوصف: 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).
Comment: technical report with 11 pages, 1 figure, 10 tables
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2405.19032
رقم الأكسشن: edsarx.2405.19032
قاعدة البيانات: arXiv