1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2025★ 1 cited
A Hybrid Attention Framework for Fake News Detection with Large Language Models
Xiaochuan Xu, Peiyang Yu, Zeqiu Xu +1
With the rapid growth of online information, the spread of fake news has become a serious social challenge. In this study, we propose a novel detection framework based on Large Lan…
cs.IR2025
Enhancing User Intent for Recommendation Systems via Large Language Models
Xiaochuan Xu, Zeqiu Xu, Peiyang Yu +1
Recommendation systems play a critical role in enhancing user experience and engagement in various online platforms. Traditional methods, such as Collaborative Filtering (CF) and C…
cs.IR2025★ 1 cited
The Application of Large Language Models in Recommendation Systems
Peiyang Yu, Zeqiu Xu, Jiani Wang +1
The integration of Large Language Models into recommendation frameworks presents key advantages for personalization and adaptability of experiences to the users. Classic methods of…