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2020 – today
- 2025
[i8]Jia Gao, Guiran Liu, Binrong Zhu, Shicheng Zhou, Hongye Zheng, Xiaoxuan Liao:
Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer. CoRR abs/2501.13467 (2025)- [i7]Xiaoxuan Liao, Chihang Wang, Shicheng Zhou, Jiacheng Hu, Hongye Zheng, Jia Gao:
Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models. CoRR abs/2501.14859 (2025) - [i6]Jia Gao, Shuangquan Lyu, Guiran Liu, Binrong Zhu, Hongye Zheng, Xiaoxuan Liao:
A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning. CoRR abs/2502.09086 (2025) - [i5]Xiaoxuan Liao, Binrong Zhu, Jacky He, Guiran Liu, Hongye Zheng, Jia Gao:
A Fine-Tuning Approach for T5 Using Knowledge Graphs to Address Complex Tasks. CoRR abs/2502.16484 (2025) - 2024
- [i4]Junliang Du, Guiran Liu
, Jia Gao, Xiaoxuan Liao, Jiacheng Hu, Linxiao Wu:
Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs. CoRR abs/2411.15195 (2024) - [i3]Jiajing Chen, Bingying Liu, Xiaoxuan Liao, Jia Gao, Hongye Zheng, Yue Li:
Adaptive Optimization for Enhanced Efficiency in Large-Scale Language Model Training. CoRR abs/2412.04718 (2024) - [i2]Jiacheng Hu, Xiaoxuan Liao, Jia Gao, Zhen Qi, Hongye Zheng, Chihang Wang:
Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks. CoRR abs/2412.18729 (2024) - [i1]Shuo Wang, Chihang Wang, Jia Gao, Zhen Qi, Hongye Zheng, Xiaoxuan Liao:
Feature Alignment-Based Knowledge Distillation for Efficient Compression of Large Language Models. CoRR abs/2412.19449 (2024)
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