PARA: Parameter-Efficient Fine-tuning with Prompt-Aware Representation Adjustment Zequan Liu author Yi Zhao author Ming Tan author Wei Zhu author Aaron Xuxiang Tian author 2024-11 text Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track Franck Dernoncourt editor Daniel Preoţiuc-Pietro editor Anastasia Shimorina editor Association for Computational Linguistics Miami, Florida, US conference publication liu-etal-2024-para 10.18653/v1/2024.emnlp-industry.55 https://aclanthology.org/2024.emnlp-industry.55/ 2024-11 728 737