GPart: End-to-End Isometric Fine-Tuning via Global Parameter Partitioning.

arXiv:2605.14841v3 Announce Type: replace-cross Abstract: Low-rank adaptation (LoRA) has become a dominant paradigm for parameter-efficient fine-tuning (PEFT) of large-scale deep learning models. However, its bilinear parameterization induces a parameter-depen