"Layer-wise Importance Matters: Less Memory for Better Performance in ..."

Kai Yao et al. (2024)

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DOI: 10.18653/V1/2024.FINDINGS-EMNLP.109

access: open

type: Conference or Workshop Paper

metadata version: 2025-11-26

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Kai Yao, Penglei Gao, Lichun Li, Yuan Zhao, Xiaofeng Wang, Wei Wang, Jianke Zhu:
Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models. EMNLP (Findings) 2024: 1977-1992

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