Efficient sparse low-rank adaptation for large language models.
- DOI
- 10.1016/j.neunet.2026.109543
- Published
- 2026 Aug 22
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109543,
title = {Efficient sparse low-rank adaptation for large language models.},
author = {Qiao J and Wu S and Su W},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109543},
url = {https://doi.org/10.1016/j.neunet.2026.109543}
}RIS
TY - JOUR TI - Efficient sparse low-rank adaptation for large language models. AU - Qiao J AU - Wu S AU - Su W PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109543 UR - https://doi.org/10.1016/j.neunet.2026.109543 ER -
APA
J, Q., S, W., & W, S. (2026). Efficient sparse low-rank adaptation for large language models.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109543
Source records
- pubmed · retrieved 2026-09-25T22:24:38.744Z
- europe-pmc · retrieved 2026-09-25T22:24:38.755Z