1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 1 cited
Feature Alignment-Based Knowledge Distillation for Efficient Compression of Large Language Models
Shuo Wang, Chihang Wang, Jia Gao +3
This study proposes a knowledge distillation algorithm based on large language models and feature alignment, aiming to effectively transfer the knowledge of large pre-trained model…
cs.CL2024★ 1 cited
Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks
Jiacheng Hu, Xiaoxuan Liao, Jia Gao +3
This study proposes a large language model optimization method based on the improved LoRA fine-tuning algorithm, aiming to improve the accuracy and computational efficiency of the…