4 papers
Parameter-Efficient Fine-Tuning with Differential Privacy for Robust Instruction Adaptation in Large Language Models
Yulin Huang, Yaxuan Luan, Jinxu Guo +2
This study addresses the issues of privacy protection and efficiency in instruction fine-tuning of large-scale language models by proposing a parameter-efficient method that integr…
Multi-Scale Feature Fusion and Graph Neural Network Integration for Text Classification with Large Language Models
Xiangchen Song, Yulin Huang, Jinxu Guo +2
This study investigates a hybrid method for text classification that integrates deep feature extraction from large language models, multi-scale fusion through feature pyramids, and…
LLM-Centric RAG with Multi-Granular Indexing and Confidence Constraints
Xiaofan Guo, Yaxuan Luan, Yue Kang +2
This paper addresses the issues of insufficient coverage, unstable results, and limited reliability in retrieval-augmented generation under complex knowledge environments, and prop…
Controllable Abstraction in Summary Generation for Large Language Models via Prompt Engineering
Xiangchen Song, Yuchen Liu, Yaxuan Luan +2
This study presents a controllable abstract summary generation method for large language models based on prompt engineering. To address the issues of summary quality and controllab…