Zehong Yan — accepted AI-conference papers

2025

TRUST-VL: An Explainable News Assistant for General Multimodal Misinformation Detection

Zehong Yan, Peng Qi, Wynne Hsu, Mong-Li Lee

EMNLP 2025

Multimodal misinformation, encompassing textual, visual, and cross-modal distortions, poses an increasing societal threat that is amplified by generative AI. Existing methods typically focus on a single type of distortion and struggle to generalize to unseen scenarios. In this work, we observe that

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2024

SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection

Peng Qi, Zehong Yan, Wynne Hsu, Mong Li Lee

CVPR 2024poster

Misinformation is a prevalent societal issue due to its potential high risks. Out-Of-Context (OOC) misinformation where authentic images are repurposed with false text is one of the easiest and most effective ways to mislead audiences. Current methods focus on assessing image-text consistency but la…

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