3 papers
cs.IR2025
Integrating Structure-Aware Attention and Knowledge Graphs in Explainable Recommendation Systems
Shuangquan Lyu, Ming Wang, Huajun Zhang +3
This paper designs and implements an explainable recommendation model that integrates knowledge graphs with structure-aware attention mechanisms. The model is built on graph neural…
cs.CL2025
Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach
Shuangquan Lyu, Yingnan Deng, Guiran Liu +2
This paper addresses the limited transfer and adaptation capabilities of large language models in low-resource language scenarios. It proposes a unified framework that combines a k…
cs.CL2025
A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning
Jia Gao, Shuangquan Lyu, Guiran Liu +3
With the continuous development of natural language processing (NLP) technology, text classification tasks have been widely used in multiple application fields. However, obtaining…