2026
M4-RAG: A Massive-Scale Multilingual Multi-Cultural Multimodal RAG
CVPR 2026
Vision-language models (VLMs) have achieved strong performance in visual question answering (VQA), yet they remain constrained by static training data. Retrieval-Augmented Generation (RAG) mitigates this limitation by enabling access to up-to-date, culturally grounded, and multilingual information;