ASE2024
Cross-lingual Code Clone Detection: When LLMs Fail Short Against Embedding-based Classifier
Micheline Bénédicte Moumoula, Abdoul Kader Kaboré, Jacques Klein, Tegawendé F. Bissyandé
1 citation
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.