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Ming-Shu Zhang

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Conference Aug 2026

Multimodal Fake News Detection via Hybrid External Knowledge and Offline LLM Supervision

Multimodal fake news detection requires both finegrained text-image alignment and external factual context. This paper presents a three-stage framework centered on modality-specific global-token cross-attention. The proposed attention mechanism independently parameterizes text-to-image and image-to-text projections to...

Ming-Shu Zhang, Yue-Chuan Zhang, Jia-Hui Li · 0 citations
Open access Aug 2026

LCFND: OT–guided LLM evidence reasoning and graph verification for multimodal fake news detection

LCFND, a staged and fully specified bounded-evidence verification pipeline for localized conflict discovery, structured evidence generation, and graph-based verification, is presented, better suited to offline or high-risk verification than to large-scale real-time screening.

Yuechuan Zhang, Hongyu Jin, Ya-Xuan Wang et al. · 0 citations
Open access Jul 2026

TERN: Type-Aware Evidence Reasoning for Multimodal Fake News Detection

TERN induces latent deception types from image-side multimodal features through prototype-based clustering, uses the induced assignments as structural priors for downstream veracity prediction, disentangles type-discriminative factors from semantic content, and performs type-conditioned hierarchical reasoning over text...

Mingshu Zhang, Hongyu Jin, Yuechuan Zhang et al. · 1 citation

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