4 papers
Personalized Interpretation on Federated Learning: A Virtual Concepts approach
Peng Yan, Guodong Long, Jing Jiang +1
Tackling non-IID data is an open challenge in federated learning research. Existing FL methods, including robust FL and personalized FL, are designed to improve model performance w…
How far are AI-powered programming assistants from meeting developers' needs?
Xin Tan, Xiao Long, Xianjun Ni +3
Recent In-IDE AI coding assistant tools (ACATs) like GitHub Copilot have significantly impacted developers' coding habits. While some studies have examined their effectiveness, the…
Peer-aided Repairer: Empowering Large Language Models to Repair Advanced Student Assignments
Qianhui Zhao, Fang Liu, Li Zhang +6
Automated generation of feedback on programming assignments holds significant benefits for programming education, especially when it comes to advanced assignments. Automated Progra…
Uplift Modeling based on Graph Neural Network Combined with Causal Knowledge
Haowen Wang, Xinyan Ye, Yangze Zhou +3
Uplift modeling is a fundamental component of marketing effect modeling, which is commonly employed to evaluate the effects of treatments on outcomes. Through uplift modeling, we c…