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Qing-Xu Liu

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Open access Oct 2026

MLCL: LVLM-guided multi-level contrastive learning for fake news detection

The widespread dissemination of multi-modal disinformation on social media platforms poses a serious threat to public safety and social stability, elevating the need for automated detection of such content. Although existing studies have started to incorporate multimodal data, effectively modeling cross-modal inter...

Jun Li, Ling-Hao Yan, Qing-Xu Liu et al. · 0 citations
#artificial intelligence Preprint Oct 2026

ReCast: Contract-Preserving Protection for Fixed-Interface Multimodal Reasoning

Remote multimodal models offer strong numerical reasoning capabilities over charts and speech, but sending private inputs risks exposing sensitive content. Text-only sanitization cannot directly satisfy fixed media interfaces, while identity anonymization leaves the underlying task content exposed. We introduce ReCast,...

Bing-Chen Pei, Li-Chong Chen, Bing Zhao et al. · 0 citations

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