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PRIME-Speech achieves low-latency, accurate speech-to-speech generation without sacrificing the robust performance of existing speech-to-text models.
TPOUR achieves a 15.21% improvement in retrieval accuracy on implicit queries while being 72.7x smaller than its larger counterpart.
Achieve up to 12x greater sample efficiency in reasoning tasks by relaxing strict imitation constraints in on-policy distillation, enabling smaller models to match the performance of much larger ones.
