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STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models

Overall

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.

📖Citation

@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}
}

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STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models

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