4 papers
Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems
Wei Xu, Jiasen Zheng, Junjiang Lin +2
This paper addresses the challenge of jointly modeling user intent diversity and behavioral uncertainty in recommender systems. A unified representation learning framework is propo…
Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies
Xu Han, Yumeng Sun, Weiqiang Huang +2
Few-shot text classification has important application value in low-resource environments. This paper proposes a strategy that combines adaptive fine-tuning, contrastive learning,…
Modeling Multi-Hop Semantic Paths for Recommendation in Heterogeneous Information Networks
Hongye Zheng, Yue Xing, Lipeng Zhu +3
This study focuses on the problem of path modeling in heterogeneous information networks and proposes a multi-hop path-aware recommendation framework. The method centers on multi-h…
Improving Harmful Text Detection with Joint Retrieval and External Knowledge
Zidong Yu, Shuo Wang, Nan Jiang +3
Harmful text detection has become a crucial task in the development and deployment of large language models, especially as AI-generated content continues to expand across digital p…