DPAC: A tri-dimensional coordinated framework for breaking the efficiency ceiling in parameter-efficient fine-tuning.
- DOI
- 10.1016/j.neunet.2026.109524
- Published
- 2026 Aug 18
- 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.2026.109524,
title = {DPAC: A tri-dimensional coordinated framework for breaking the efficiency ceiling in parameter-efficient fine-tuning.},
author = {Wang C and Wen Q and Huang Y and Hu Y and Zeng T},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109524},
url = {https://doi.org/10.1016/j.neunet.2026.109524}
}RIS
TY - JOUR TI - DPAC: A tri-dimensional coordinated framework for breaking the efficiency ceiling in parameter-efficient fine-tuning. AU - Wang C AU - Wen Q AU - Huang Y AU - Hu Y AU - Zeng T PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109524 UR - https://doi.org/10.1016/j.neunet.2026.109524 ER -
APA
C, W., Q, W., Y, H., Y, H., & T, Z. (2026). DPAC: A tri-dimensional coordinated framework for breaking the efficiency ceiling in parameter-efficient fine-tuning.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109524
Source records
- pubmed · retrieved 2026-09-25T21:50:12.377Z