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Different views of the same problem reveal hidden reasoning paths, enabling VLMs to achieve unprecedented accuracy in multimodal reasoning tasks.
Current MLLMs struggle with active visual observation, scoring as low as 3.5% on tasks designed to test this critical cognitive function.
