Chun-Ming Xia

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2025

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Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace
Jia-Chen Zhang | Yu-Jie Xiong | Chun-Ming Xia | Dong-Hai Zhu | Xi-He Qiu
Proceedings of the 31st International Conference on Computational Linguistics

This paper proposes a novel parameter-efficient fine-tuning method that combines the knowledge completion capability of deconvolution with the subspace learning ability, reducing the number of parameters required for fine-tuning by 8 times . Experimental results demonstrate that our method achieves superior training efficiency and performance compared to existing models.
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