Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models

Ming Gong, Yingnan Deng, Nia Qi +3

This paper addresses the issues of parameter redundancy, rigid structure, and limited task adaptability in the fine-tuning of large language models. It proposes an adapter-based fi…