Author

Yi-Qi Dong

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Conference Open access Sep 2026

When Evidence Falls Short: Router-Guided Fake News Detection with Pattern Augmentation

With the growing complexity of online information, trustworthy fake news detection has become increasingly critical. Although Large Language Models (LLMs) exhibit a strong ability to leverage factual evidence for verification, they remain highly vulnerable to unreliable, noisy, or scarce evidence, undermining robustnes...

Yu-Jing Wang, Xiao-Bao Wang, Yi-Qi Dong et al. · Proceedings of the Thirty-Fi... · 0 citations

#artificial intelligence Nov 2025

When Bias Pretends to Be Truth: How Spurious Correlations Undermine Hallucination Detection in LLMs

It is shown that existing hallucination detection methods, such as confidence-based filtering and inner-state probing, fundamentally fail in the presence of spurious correlations, and further elucidates why these statistical biases intrinsically undermine confidence-based detection techniques.

Shaowen Wang, Yi-Qi Dong, Rui‑Ying Chang et al. · arXiv.org · 3 citations