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Sharing LoRA adapters between teacher and student models unlocks faster and more effective knowledge distillation, boosting performance for both.
Skip the training: MUKA, a multi-kernel adaptation framework, lets Large Audio-Language Models achieve state-of-the-art few-shot performance without any additional training.
