Guoxian Lu

Selecting and Combining Large Language Models in Scalable Code Clone Detection

Findings indicate that ensembling approaches can be statistically significant and effective on larger datasets, where the best-performing ensemble improved performance by 37% over its individual LLMs on the commercial large-scale code.