Exploring the Boundaries Between LLM Code Clone Detection and Code Similarity Assessment on Human and AI-Generated Code

As Large Language Models (LLMs) continue to advance, their capabilities in code clone detection have garnered significant attention. While much research has assessed LLM performance on human-generated code, the proliferation of LLM-generated code raises critical questions about their ability to dete...

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Bibliographic Details

Published in:	Big Data and Cognitive Computing
Main Authors:	Zixian Zhang, Takfarinas Saber
Format:	Article
Language:	English
Published:	MDPI AG 2025-02-01
Subjects:	code clone detection code similarity large language model fine-tuning LLM-generated code
Online Access:	https://www.mdpi.com/2504-2289/9/2/41