GSLoRa: Gradient spectral alignment for low-rank adaptation

Qingyun Lin, Lilan Peng, Zhendong Wu, Yiding Fan, Ke Zhao, Pengfei Zhang

Open source

DOI
10.1016/j.neunet.2026.109436
Published
2027-01
Container
Neural Networks
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.neunet.2026.109436,
  title = {GSLoRa: Gradient spectral alignment for low-rank adaptation},
  author = {Qingyun Lin and Lilan Peng and Zhendong Wu and Yiding Fan and Ke Zhao and Pengfei Zhang},
  year = {2027},
  journal = {Neural Networks},
  doi = {10.1016/j.neunet.2026.109436},
  url = {https://doi.org/10.1016/j.neunet.2026.109436}
}

RIS

TY  - JOUR
TI  - GSLoRa: Gradient spectral alignment for low-rank adaptation
AU  - Qingyun Lin
AU  - Lilan Peng
AU  - Zhendong Wu
AU  - Yiding Fan
AU  - Ke Zhao
AU  - Pengfei Zhang
PY  - 2027
JO  - Neural Networks
DO  - 10.1016/j.neunet.2026.109436
UR  - https://doi.org/10.1016/j.neunet.2026.109436
ER  - 

APA

Lin, Q., Peng, L., Wu, Z., Fan, Y., Zhao, K., & Zhang, P. (2027). GSLoRa: Gradient spectral alignment for low-rank adaptation. Neural Networks. https://doi.org/10.1016/j.neunet.2026.109436

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