PrismAgent: Illuminating Harm in Memes via a Zero-Shot Interpretable Multi-Agent Framework

概要

arXiv:2605.02940v1 Announce Type: cross Abstract: The rapid spread of memes makes harmful content detection increasingly crucial, as effective identification can curb the circulation of misinformation. However, existing methods rely heavily on high-volume annotated data, which leads to substantial …