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Xiu-Zhen Zhang

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Sep 2026

Semantic-Aware Heterogeneous Graph Learning for Fake News Detection.

While heterogeneous graph learning (HGL) is a promising approach for fake news detection, current methods struggle to capture complex relationships among neighborhoods due to their reliance on binary interactions. This limitation can lead to missed critical information and jeopardize performance. We address this issue...

Shuo Yu, Yu-Peng Gao, Jing Ren et al. · 0 citations
#artificial intelligence Preprint Aug 2026

Twin Worlds: Equivariance-Based Abstention for Evidence-Grounded Reasoning

Twin Worlds (TW), a framework for improving reliability in knowledge-intensive reasoning through equivariance-based abstention, is proposed, which identifies when answers are not reliably grounded in the provided evidence and outperforms uncertainty- and sufficiency-based baselines.

Vy Nguyen, Ziqi Xu, Jeffrey Chan et al. · 0 citations

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