Efficient zero-shot post-training quantization of large language models.
- DOI
- 10.1016/j.neunet.2026.109750
- Published
- 2027 Feb
- 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.2026.109750,
title = {Efficient zero-shot post-training quantization of large language models.},
author = {Haq SU and El-Maleh AH and Alsuwaiyan A},
year = {2027},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109750},
url = {https://doi.org/10.1016/j.neunet.2026.109750}
}RIS
TY - JOUR TI - Efficient zero-shot post-training quantization of large language models. AU - Haq SU AU - El-Maleh AH AU - Alsuwaiyan A PY - 2027 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109750 UR - https://doi.org/10.1016/j.neunet.2026.109750 ER -
APA
SU, H., AH, E., & A, A. (2027). Efficient zero-shot post-training quantization of large language models.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109750
Source records
- pubmed · retrieved 2026-11-10T13:24:15.807Z