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Fan Wu

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Conference Open access 2026

LaCo: Layer-wise Compensation for Pruned Large Language Models

Pruning is essential for the efficient deployment of Large Language Models (LLMs); however, it causes severe performance degradation due to the structural distortion induced by sparsity. Existing recovery strategies, such as LoRA, predominantly employ global fine-tuning, often overlooking the mechanistic root of this d...

Yingen Liu, Fan Wu, Xuyan Pan et al. · Annual Meeting of the Associ... · 0 citations