LoRA-One: One-Step Full Gradient Could Suffice for Fine-Tuning Large Language Models, Provably and Efficiently | NSF Public Access Repository

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Citation Details

LoRA-One: One-Step Full Gradient Could Suffice for Fine-Tuning Large Language Models, Provably and Efficiently

Award ID(s):: 2233152

PAR ID:: 10656396

Author(s) / Creator(s):: Zhang, Yuanhe; Liu, Fanghui; Chen, Yudong

Publisher / Repository:: International Conference on Machine Learning (ICML)

Date Published:: 2025-06-13

Format(s):: Medium: X

Sponsoring Org:: National Science Foundation

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The DOI is not currently available.