تقرير
Exploring Large Language Models for Code Explanation
| العنوان: | Exploring Large Language Models for Code Explanation |
|---|---|
| المؤلفون: | Bhattacharya, Paheli, Chakraborty, Manojit, Palepu, Kartheek N S N, Pandey, Vikas, Dindorkar, Ishan, Rajpurohit, Rakesh, Gupta, Rishabh |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Software Engineering, Computer Science - Artificial Intelligence, Computer Science - Information Retrieval, D.2.3, I.7 |
| الوصف: | Automating code documentation through explanatory text can prove highly beneficial in code understanding. Large Language Models (LLMs) have made remarkable strides in Natural Language Processing, especially within software engineering tasks such as code generation and code summarization. This study specifically delves into the task of generating natural-language summaries for code snippets, using various LLMs. The findings indicate that Code LLMs outperform their generic counterparts, and zero-shot methods yield superior results when dealing with datasets with dissimilar distributions between training and testing sets. Comment: Accepted at the Forum for Information Retrieval Evaluation 2023 (IRSE Track) |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2310.16673 |
| رقم الأكسشن: | edsarx.2310.16673 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |