STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models
We propose a novel DEFT (Data-Efficient Fine-Tuning) method, STAR, to effectively combine PEFT (Parameter Efficient Fine-Tuning) with active learning through criterion revision and model regularization.
@misc{zhang2024star,
title={STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models},
author={Linhai Zhang and Jialong Wu and Deyu Zhou and Guoqiang Xu},
year={2024},
eprint={2403.01165},
archivePrefix={arXiv},
primaryClass={cs.CL}
}