arXiv

ReMMD: Realistic Multilingual Multi-Image Agentic Verification for Multimodal Misinformation Detection (opens in new tab)

Multimodal misinformation detection is increasingly important because viral posts now combine long multilingual narratives, several images, mixed provenance, and subtle text--image framing errors. Existing benchmarks and methods remain poorly matched to this setting: they usually isolate short captions, single images, binary labels, or one manipulation source, while agentic verification remains costly under realistic evidence search. We present ...

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