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Peiqin Lin

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Conference Open access Sep 2026

SeMi-LoRA: Enhancing Low-Rank Adaptation via Separation and Mixing

This work proposes SeMi-LoRA (Separation and Mixing LoRA), a novel framework that enables complete high-rank updates while preserving mergeability and consistently outperforms strong PEFT baselines with favorable parameter efficiency.

Zhen-Fei Yang, Beiming Yu, Peiqin Lin et al. · Proceedings of the Thirty-Fi... · 0 citations