most citedDynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models

1 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2025

Multi-Scale Transformer Architecture for Accurate Medical Image Classification

Jiacheng Hu, Yanlin Xiang, Yang Lin +3

This study introduces an AI-driven skin lesion classification algorithm built on an enhanced Transformer architecture, addressing the challenges of accuracy and robustness in medic…

cs.CL2025★ 1 cited

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models

Xiaoxuan Liao, Chihang Wang, Shicheng Zhou +3

This paper presents a novel methodology of fine-tuning for large language models-dynamic LoRA. Building from the standard Low-Rank Adaptation framework, this methodology further ad…

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…