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

ArXi:2605.14841v1 Announce Type: new Low-rank adaptation (LoRA) has become the dominant paradigm for parameter-efficient fine-tuning (PEFT) of large language models (LLMs). However, its bilinear structure