6 citations · 6 across the 4 of their papers we have counts for
4 papers
Joint Graph Convolution and Sequential Modeling for Scalable Network Traffic Estimation
Nan Jiang, Wenxuan Zhu, Xu Han +2
This study focuses on the challenge of predicting network traffic within complex topological environments. It introduces a spatiotemporal modeling approach that integrates Graph Co…
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,…
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…
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
Shenglai Zeng, Jiankun Zhang, Pengfei He +8
Retrieval-augmented generation (RAG) is a powerful technique to facilitate language model with proprietary and private data, where data privacy is a pivotal concern. Whereas extens…