QR-LoRA trains only scalar coefficients on a pivoted QR basis of pretrained weights, reportedly matching full fine-tuning on GLUE with 601 parameters.
T-net: Parametrizing fully convolutional nets with a single high-order tensor, 2019
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QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models
QR-LoRA trains only scalar coefficients on a pivoted QR basis of pretrained weights, reportedly matching full fine-tuning on GLUE with 601 parameters.