LS-PRISM: A layer-selective pruning method via low-rank approximation and sparsification for efficient large language model compression | OpenReview

LS-PRISM: A layer-selective pruning method via low-rank approximation and sparsification for efficient large language model compression

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Renshuai Tao, Hairong Chen, Yuzhe Guo, Jiakai Wang, Boying Wang, Rongrong Ni, Yao Zhao

Published: 01 Dec 2025, Last Modified: 12 Mar 2026Neural NetworksEveryoneRevisionsCC BY-SA 4.0

External IDs:doi:10.1016/j.neunet.2025.107909

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