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

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SSMLoRA

🎉🎉🎉 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

@misc{yu2025ssmloraenhancinglowrankadaptation,
      title={SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model}, 
      author={Jiayang Yu and Yihang Zhang and Bin Wang and Peiqin Lin and Yongkang Liu and Shi Feng},
      year={2025},
      eprint={2502.04958},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2502.04958}, 
}

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

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