CORE: Conflict-Oriented Reasoning for General Multimodal Manipulation Detection

In three linesCORE is a framework training MLLMs to detect multimodal fake news by identifying semantic or physical conflicts across modalities. Using an annotated corpus (CAC) with conflict factors, CORE generalizes to unseen manipulations in few-shot or zero-shot settings, outperforming existing methods.

Summary generated by Claude — human-verified