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
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.· arXiv.org· 0 citations
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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