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- research-articleJuly 2023
Towards Efficient Fine-Tuning of Pre-trained Code Models: An Experimental Study and Beyond
ISSTA 2023: Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and AnalysisPages 39–51https://doi.org/10.1145/3597926.3598036Recently, fine-tuning pre-trained code models such as CodeBERT on downstream tasks has achieved great success in many software testing and analysis tasks. While effective and prevalent, fine-tuning the pre-trained parameters incurs a large ...