Xinhao Wu

Convolutional LoRA Aggregation for Unseen Tasks Adaptation

Recent studies have increasingly explored the combination of existing LoRA modules for effective adaptation to unseen tasks in data-scarce scenarios. However, current LoRA selection methods typically rely on a few task samples, making it difficult to capture the full scope of task-relevant informati