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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Ya-Xuan Wang

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Open access Oct 2026

Structural response under factual perturbations for multimodal fake news detection

Deceptive multimodal posts often remain globally plausible because the text and image can appear mutually consistent while the veracity claim depends on a small set of fragile evidence supports. Existing multimodal fake news detectors have advanced fusion, fine-grained interaction, knowledge-enhanced reasoning, and cou...

Hong-Yu Jin, Yu-Feng Dong, Ya-Xuan Wang et al. · 0 citations
Open access Sep 2026

Manipulation-equivariant evidence-state learning for multimodal fake news detection

MEEL (Manipulation-Equivariant Evidence Learning) learns typed directions of manipulation-induced evidence-state movement under a fixed-evidence setting, and learns the movement of evidence states under semantic manipulation, beyond static image-text compatibility.

Hong-Yu Jin, Ming-Shu Zhang, Wei Bin et al. · 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

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