Jingfeng Xue — accepted AI-conference papers

2025

E-Verify: A Paradigm Shift to Scalable Embedding-based Factuality Verification

Zeyang Liu, Jingfeng Xue, Xiuqi Yang, Wenbiao Du, Jiarun Fu, Junbao Chen +2

EMNLP 2025

Large language models (LLMs) exhibit remarkable text-generation capabilities, yet struggle with factual consistency, motivating growing interest in factuality verification. Existing factuality verification methods typically follow a Decompose-Then-Verify paradigm, which improves granularity but suff

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2024

Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift

Junbao Chen, Jingfeng Xue, Yong Wang, Zhenyan Liu, Lu Huang

NeurIPS 2024poster

Data heterogeneity is one of the key challenges in federated learning, and many efforts have been devoted to tackling this problem. However, distributed concept drift with data heterogeneity, where clients may additionally experience different concept drifts, is a largely unexplored area. In this wo…

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