تقرير
Large Language Models for Code Summarization
العنوان: | Large Language Models for Code Summarization |
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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 |
الوصف غير متاح. |