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Ruihong Zeng

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#natural language process... Preprint Sep 2026

MIC: Explaining Image-Claim Inconsistencies in AI-Generated Multimodal Misinformation

Claims paired with AI-generated images are a rapidly growing form of misinformation. Existing automated fact-checking (AFC) methods mainly treat this as a provenance problem, detecting low-level synthesis artifacts to decide whether an image is AI-generated. However, such methods do not verify what human fact-checkers...

Rui-Hong Zeng, Jonathan Tonglet, Preslav Nakov et al. · 0 citations
Jul 2026

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution

MIRAGE, a training-free, model-agnostic defense for long-form RAG, is introduced, a training-free, model-agnostic defense for long-form RAG that consistently restores factuality under mixed and fully polluted evidence and outperforms prior robust-RAG methods.

Saadeldine Eletter, Ruihong Zeng, Yuxia Wang et al. · 0 citations
#artificial intelligence Preprint Aug 2026

LITERARYBIGFIVE: Author-Personalized Text Generation in a Unified Interpretable Space

Inspired by the Big Five model's dimensional view of personality, a framework that reframes authorial writing characteristics as coordinates within a unified and interpretable space is proposed, which improves authorial expressiveness while preserving semantic fidelity.

Jinghui Zhang, Lang Gao, Ao Li et al. · 0 citations

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