1 paper
Xianming Li, Zongxi Li, Tsz-fung Andrew Lee +3
Popular low-rank parameter-efficient fine-tuning (PEFT) methods represent adaptation as separate updates to selected backbone weights, without maintaining an explicit task-specific…