M-NLE: Knowledge-Augmented Multitask Learning for Offensive Meme Detection and Explanation Generation
Memes combine visual content and short textual cues to convey humor, sarcasm, and social commentary, but they can also encode offensive or harmful messages targeting individuals and social groups. While recent multimodal systems have improved offensive meme detection, many of them operate as opaque classifiers and do n...