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Routing previously encoded evidence in HR-VQA can yield up to 9.9-point improvements on benchmarks while slashing inference time by over 97%.
High-quality data is all it takes: Bee-8B, trained on the new Honey-Data-15M dataset, leapfrogs existing fully open MLLMs to rival semi-open models.
