
The author introduces the "Align-to-Distill" strategy, utilizing a trainable Attention Alignment Module to address feature mapping issues in knowledge distillation for NMT.


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Align-to-Distill-Trainable-Attention-Alignment-for-Knowledge-Distillation-in-Neural-Machine-Translation


Align-to-Distill: Trainable Attention Alignment for Knowledge Distillation in Neural Machine Translation


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A2D introduces a novel strategy for knowledge distillation by aligning attention heads between teacher and student models, leading to improved performance in NMT tasks.
