AI RESEARCH
Curvature-Guided LoRA: Steering in the pretrained NTK subspace
arXiv CS.LG
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ArXi:2603.29824v1 Announce Type: new Parameter-efficient fine-tuning methods such as LoRA enable efficient adaptation of large pretrained models but often fall short of full fine-tuning performance. Existing approaches focus on aligning parameter updates, which only indirectly control model predictions. In this work, we