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Breaking the curse of multilinguality, this framework boosts low-resource speech performance while preserving high-resource capabilities, all with minimal data requirements.
Achieve state-of-the-art many-to-many speech translation across 45 languages while slashing bandwidth by 10x and preventing voiceprint leakage.
Speech, not just images, can unlock significant gains in multilingual machine translation, especially when paired with a self-evolution mechanism for MLLMs.
