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Align, Integrate, and Fire: Efficient Token-Level Alignment for Zero-Shot SpeechLLMs
While Large Language Models excel in natural language processing, efficiently extending their capabilities to spoken input remains a significant challenge. Existing methods for building SpeechLLMs often rely on computationally expensive full-model fine-tuning, or employ parameter-efficient projector
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