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Updated: Jan 15, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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FM-LoRA:为持续学习提供因子化的低等级元诱导

Xiaobing Yu1, Jin Yang1, Xiao Wu1,2

  • 1Dept. of Radiology, Washington University in St. Louis, St. Louis, USA.

Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops
|October 8, 2025
PubMed
概括

本研究介绍了FM-LoRA,这是一种高效的持续学习方法,可以避免顺序任务的参数增长. 它增强了在各种任务和领域的模型适应和知识保留.

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