A Fine-Grained Analysis of the LoRA Fine-Tuning Landscape with Implications for Data Selection

Bowen Zhang, Changrui Fang, Xinsong Ma +2

Low-Rank Adaptation (LoRA) has become a standard approach for parameter-efficient fine-tuning, yet a fundamental practical question remains unresolved: how should the adapter rank…