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article · Knowledge-Based Systems · 2025

LoRA dropout as a sparsity regularizer for overfitting reduction

Lin Yang, Xinyu Ma, Xu Chu, Yujie Jin, Zhibang Yang, Yasha Wang

Cited by 9Abstract and details only

Abstract

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Cite this paper

APA 7

Yang, L., Ma, X., Chu, X., Jin, Y., Yang, Z., & Wang, Y. (2025). LoRA dropout as a sparsity regularizer for overfitting reduction. Knowledge-Based Systems, 329, 114241. https://doi.org/10.1016/j.knosys.2025.114241

MLA 9

Yang, Lin, et al. “LoRA dropout as a sparsity regularizer for overfitting reduction.” Knowledge-Based Systems, vol. 329, 2025, p. 114241, https://doi.org/10.1016/j.knosys.2025.114241.

Chicago

Yang, Lin, Xinyu Ma, Xu Chu, Yujie Jin, Zhibang Yang, and Yasha Wang. 2025. “LoRA dropout as a sparsity regularizer for overfitting reduction.” Knowledge-Based Systems 329: 114241. https://doi.org/10.1016/j.knosys.2025.114241.

Harvard

Yang, L. et al. (2025) ‘LoRA dropout as a sparsity regularizer for overfitting reduction’, Knowledge-Based Systems, 329, p. 114241. Available at: https://doi.org/10.1016/j.knosys.2025.114241.

BibTeX
@article{yang2025lora,
  title = {{LoRA dropout as a sparsity regularizer for overfitting reduction}},
  author = {Yang, Lin and Ma, Xinyu and Chu, Xu and Jin, Yujie and Yang, Zhibang and Wang, Yasha},
  journal = {Knowledge-Based Systems},
  volume = {329},
  pages = {114241},
  year = {2025},
  doi = {10.1016/j.knosys.2025.114241}
}

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