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SSMLoRA

๐ŸŽ‰๐ŸŽ‰๐ŸŽ‰ NAACL 2025 main conference paper: SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model

Overview

Setup

conda create -n ssmlora python=3.10
pip install -r requirements.txt

Train

python src/main.py --dataset BoolQ

Citation

@article{yu2025ssmlora,
  title={SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model},
  author={Yu, Jiayang and Zhang, Yihang and Wang, Bin and Lin, Peiqin and Liu, Yongkang and Feng, Shi},
  journal={arXiv preprint arXiv:2502.04958},
  year={2025}
}

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[NAACL'25] SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model

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