Large Language Models for Code Summarization

May 29, 2024 Β· Declared Dead Β· πŸ› arXiv.org

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Authors BalΓ‘zs Szalontai, GergΕ‘ Szalay, TamΓ‘s MΓ‘rton, Anna Sike, BalΓ‘zs PintΓ©r, Tibor Gregorics arXiv ID 2405.19032 Category cs.AI: Artificial Intelligence Cross-listed cs.LG, cs.PL, cs.SE Citations 7 Venue arXiv.org Last Checked 4 months ago
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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