A data synthesis framework generates four syntax/semantics code pair types, and fine-tuning embedding models on the resulting datasets improves code clone detection, functional consistency, and retrieval.
Martinez-Gil, Source code clone detection using unsupervised sim- ilarity measures, in: International Conference on Software Quality, Springer, 2024, pp
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Functional Consistency of LLM Code Embeddings: A Self-Evolving Data Synthesis Framework for Benchmarking
A data synthesis framework generates four syntax/semantics code pair types, and fine-tuning embedding models on the resulting datasets improves code clone detection, functional consistency, and retrieval.