AI RESEARCH
MemeLens: Multilingual Multitask VLMs for Memes
arXiv CS.CL
•
ArXi:2601.12539v3 Announce Type: replace-cross Memes are a dominant medium for online communication and manipulation because meaning emerges from interactions between embedded text, imagery, and cultural context. Existing meme research is distributed across tasks (hate, misogyny, propaganda, sentiment, humour) and languages, which limits cross-domain generalization. To address this gap we propose MemeLens, a unified multilingual and multitask explanation-enhanced Vision Language Model (VLM) for meme understanding.