arXiv cs.LG
· Papers
CARE-LoRA: Compressed Activation REconstruction for Memory-Efficient LoRA
arXiv:2607.11940v1 Announce Type: new Abstract: As the scale of large pre-trained models continues to grow, fine-tuning them under limited memory budgets has become increasingly challenging. Low-Rank Adaptation (LoRA), currently one of the most widely adopted parameter-efficient fine-tuning (PEFT) methods, mitigates th