Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs. - Junliang Du; Guiran Liu; Jia Gao; Xiaoxuan Liao; Jiacheng Hu; Linxiao Wu (CoRR, 2024)

Adaptive Optimization for Enhanced Efficiency in Large-Scale Language Model Training. - Jiajing Chen; Bingying Liu; Xiaoxuan Liao; Jia Gao; Hongye Zheng; Yue Li (CoRR, 2024)

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks. - Jiacheng Hu; Xiaoxuan Liao; Jia Gao; Zhen Qi; Hongye Zheng; Chihang Wang (CoRR, 2024)

Feature Alignment-Based Knowledge Distillation for Efficient Compression of Large Language Models. - Shuo Wang; Chihang Wang; Jia Gao; Zhen Qi; Hongye Zheng; Xiaoxuan Liao (CoRR, 2024)

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer. - Jia Gao; Guiran Liu; Binrong Zhu; Shicheng Zhou; Hongye Zheng; Xiaoxuan Liao (CoRR, 2025)

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models. - Xiaoxuan Liao; Chihang Wang; Shicheng Zhou; Jiacheng Hu; Hongye Zheng; Jia Gao (CoRR, 2025)

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning. - Jia Gao; Shuangquan Lyu; Guiran Liu; Binrong Zhu; Hongye Zheng; Xiaoxuan Liao (CoRR, 2025)

A Fine-Tuning Approach for T5 Using Knowledge Graphs to Address Complex Tasks. - Xiaoxuan Liao; Binrong Zhu; Jacky He; Guiran Liu; Hongye Zheng; Jia Gao (CoRR, 2025)