
Low-Rank Adaptation (LoRA) can effectively approximate target models with a minimal rank, revolutionizing fine-tuning methods.


coremsg

unveiling-the-expressive-power-of-low-rank-adaptation-in-neural-networks


Unveiling the Expressive Power of Low-Rank Adaptation in Neural Networks



A single linear layer can produce task-adapted low-rank matrices efficiently.



A Study on Task-Adapted Low-Rank Matrices Using a Single Linear Layer
