(논문 요약) One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation (Paper)
핵심 내용
- In LoRA, initialize the new weights in a data-driven manner
- by computing singular value decomposition on minibatches of activation vectors.

실험 결과
