GLA-LoRA: Parameter-efficient LLM fine-tuning with global-local knowledge alignment.
- DOI
- 10.1016/j.neunet.2026.109545
- Published
- 2026 Aug 25
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109545,
title = {GLA-LoRA: Parameter-efficient LLM fine-tuning with global-local knowledge alignment.},
author = {Wu H and Gao J and Luo X},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109545},
url = {https://doi.org/10.1016/j.neunet.2026.109545}
}RIS
TY - JOUR TI - GLA-LoRA: Parameter-efficient LLM fine-tuning with global-local knowledge alignment. AU - Wu H AU - Gao J AU - Luo X PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109545 UR - https://doi.org/10.1016/j.neunet.2026.109545 ER -
APA
H, W., J, G., & X, L. (2026). GLA-LoRA: Parameter-efficient LLM fine-tuning with global-local knowledge alignment.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109545
Source records
- pubmed · retrieved 2026-09-25T17:33:51.548Z