Parameter-Efficient Fine-Tuning of Large Language Models for Unit Test Generation: An Empirical Study

André Storhaug, Jingyue Li

Parameter-efficient fine-tuning (PEFT) methods, which fine-tune only a subset of model parameters, offer a promising solution by reducing the computational costs of tuning large la…