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Reinforcement learning can transform full-duplex dialogue models by optimizing interactivity across multiple dimensions, leading to more natural conversations.
Full-duplex speech models can now achieve the factuality of much larger models without sacrificing real-time interactivity, thanks to asynchronous knowledge retrieval.
