Cross-lingual Code Clone Detection: When LLMs Fail Short Against Embedding-based Classifier
Abstract
Cross-lingual code clone detection has gained attention in software development due to the use of multiple programming languages. Recent advances in machine learning, particularly Large Language Models (LLMs), have motivated a reexamination of this problem.
BibTeX
@inproceedings{Moumoula-al:ASE24,
author = {Micheline B{\'{e}}n{\'{e}}dicte Moumoula and
Abdoul Kader Kabor{\'{e}} and
Jacques Klein and
Tegawend{\'{e}} F. Bissyand{\'{e}}},
title = {Cross-lingual Code Clone Detection: When {LLMs} Fail Short Against Embedding-based Classifier},
booktitle = {ASE},
pages = {2474--2475},
publisher = {{ACM}},
year = {2024},
}