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cs.LG2026
Learning When to Adapt
Ali Zindari, Xiaowen Jiang, Rotem Mulayoff +1
Low-rank adaptation (LoRA) is a widely used parameter-efficient fine-tuning method, yet its learned correction is static: the same low-rank update is applied to every input. This i…
cs.LG2026
LoRA vs. Full Fine-Tuning: A Theoretical Perspective
Ali Zindari, Rotem Mulayoff, Sebastian U. Stich
Fine-tuning adapts a pre-trained model to downstream tasks using a small amount of labeled data. Low-Rank Adaptation (LoRA) is an efficient fine-tuning method that reduces memory a…