BigCloneBench
Emerging11papers using it
2021first seen
BigCloneBench is a benchmark dataset that contains code clones sampled from various programming languages and is used to evaluate the performance of large language models in code clone detection.
Papers using BigCloneBench (11)
- LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83
Software Engineering BenchmarksAn Empirical Study of LLM-Based Code Clone DetectionMAGNET: A Multi-Graph Attentional Network for Code Clone DetectionAre Classical Clone Detectors Good Enough For the AI Era?GPTCloneBench: A comprehensive benchmark of semantic clones and
cross-language clones using GPT-3 model and SemanticCloneBenchAssessing the Code Clone Detection Capability of Large Language ModelsGitor: Scalable Code Clone Detection by Building Global Sample GraphOn the Use of Deep Learning Models for Semantic Clone DetectionEvaluating few shot and Contrastive learning Methods for Code Clone
DetectionTrojanedCM: A Repository of Trojaned Large Language Models of CodeClone-Seeker: Effective Code Clone Search Using Annotations