Survey on Efficient Large Language Models: Principles, Algorithms, Applications, and Open Issues.
- DOI
- 10.1109/tnnls.2025.3628671
- Published
- 2026 May
- Container
- IEEE transactions on neural networks and learning systems
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2025.3628671,
title = {Survey on Efficient Large Language Models: Principles, Algorithms, Applications, and Open Issues.},
author = {Cheng J and Kang H and Shao Y and Li N and Chen P and Wang R and Long S and Yang X and Ma L},
year = {2026},
journal = {IEEE transactions on neural networks and learning systems},
doi = {10.1109/tnnls.2025.3628671},
url = {https://doi.org/10.1109/tnnls.2025.3628671}
}RIS
TY - JOUR TI - Survey on Efficient Large Language Models: Principles, Algorithms, Applications, and Open Issues. AU - Cheng J AU - Kang H AU - Shao Y AU - Li N AU - Chen P AU - Wang R AU - Long S AU - Yang X AU - Ma L PY - 2026 JO - IEEE transactions on neural networks and learning systems DO - 10.1109/tnnls.2025.3628671 UR - https://doi.org/10.1109/tnnls.2025.3628671 ER -
APA
J, C., H, K., Y, S., N, L., P, C., R, W., S, L., X, Y., & L, M. (2026). Survey on Efficient Large Language Models: Principles, Algorithms, Applications, and Open Issues.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2025.3628671
Source records
- pubmed · retrieved 2026-11-10T11:54:27.921Z