10 citations · 28 across the 12 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.SE2023★ 1 cited
Unveiling the potential of large language models in generating semantic and cross-language clones
Palash R. Roy, Ajmain I. Alam, Farouq Al-omari +3
Semantic and Cross-language code clone generation may be useful for code reuse, code comprehension, refactoring and benchmarking. OpenAI's GPT model has potential in such clone gen…
cs.SE2023
GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
Ajmain Inqiad Alam, Palash Ranjan Roy, Farouq Al-omari +3
With the emergence of Machine Learning, there has been a surge in leveraging its capabilities for problem-solving across various domains. In the code clone realm, the identificatio…