2025
M3Retrieve: Benchmarking Multimodal Retrieval for Medicine
EMNLP 2025
With the increasing use of Retrieval-Augmented Generation (RAG), strong retrieval models have become more important than ever. In healthcare, multimodal retrieval models that combine information from both text and images offer major advantages for many downstream tasks such as question answering, cr