作者位次 #2/5ACL 2026Poster· Natural Language Processing
L e L o RA : Learnable Low-Rank Adaptation of Large Language Models
Xiaoling Zhou · Mingjie Zhang · Zhemg Lee · Wei Ye · Shikun Zhang
摘要
Fine-tuning large language models (LLMs) is an effective approach to enhancing their performance on specialized downstream tasks. Among the various techniques, low-rank adaptation has garnered significant attention due to its ability to maintain the full performance of fine-tuning while enhancing...