Meet MMMU: A New AI Benchmark for Expert-Level Multimodal Challenges Paving the Path to Artificial General Intelligence

Multimodal pre-training advancements address diverse tasks, exemplified by models like LXMERT, UNITER, VinVL, Oscar, VilBert, and VLP. Models such as FLAN-T5, Vicuna, LLaVA, and more enhance instruction-following capabilities. Others like Flamingo, OpenFlamingo, Otter, and MetaVL explore in-context learning. While benchmarks like VQA focus on perception, MMMU stands out by demanding expert-level knowledge and deliberate reasoning […]

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