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Yi-Qun Zhang

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Open access Aug 2026

Resource-Efficient Pruning for Transformer via Low-Rank Importance Estimation

REP-LIE leverages the gradients of LoRA low-rank matrices to estimate the importance of weights without requiring full gradient computation, and a stability score is introduced, serving as the basis for iterative pruning of unimportant model parameters.

Peng Liu, Hui-Bing Zeng, Yi-Qun Zhang et al. · 0 citations

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