Cross-lingual Code Clone Detection: When LLMs Fail Short Against Embedding-based Classifier
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.
Authors
- Jacques Klein (ORCID: https://orcid.org/0000-0003-4052-475X)
- Abdoul Kader Kaboré (ORCID: https://orcid.org/0000-0002-3151-9433)
- Tegawendé François Bissyandé (ORCID: https://orcid.org/0000-0001-7270-9869)
- Micheline Bénédicte Moumoula
Institutions
- University of Luxembourg (LU)
Publication Details
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1145/3691620.3695335
- Citations
- 1
- Primary Topic
- Software Engineering Research
- Type
- article
- Field-Weighted Citation Impact
- 0.78