What exactly is MMSearch-R1?

It’s an RL-driven system that boosts LMMs with active image search for better VQA performance.

How does RL make MMSearch-R1 different?

RL trains it to decide when to search, unlike rigid retrieval methods, enhancing flexibility.

50,000 visual concepts with images and factual Q&A, balanced for in- and out-of-domain tests.

Images often hold key info text alone can’t provide, especially for visual-heavy questions.

It uses half the training data of supervised methods and optimizes search frequency.

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