Analyzing the Performance of Large Language Models on Code Summarization

Large language models (LLMs) such as Llama 2 perform very well on tasks that involve both natural language and source code, particularly code summarization and code generation. We show that for the task of code summarization, the performance of these models on individual examples often depends on th...

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Veröffentlicht in:	arXiv.org 2024-04
Hauptverfasser:	Haldar, Rajarshi, Hockenmaier, Julia
Format:	Artikel
Sprache:	eng
Schlagworte:	Datasets Descriptions Large language models Natural language Source code
Online-Zugang:	Volltext
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