Yu-Feng Yu

Spectral Bridge Variational Inference: Dynamic LoRA via Bures-Wasserstein Gradient Flows

Parameter-Efficient Fine-Tuning (PEFT) is essential for adapting Large Language Models, yet existing methods typically struggle to balance model capacity with computational efficiency. Standard approaches often enforce rigid low-rank constraints, while dynamic alternatives incur significant memory o…