LEAP adds a layer-wise exit-aware constraint to standard distillation, reconciling it with early-exit mechanisms and delivering 1.61x wall-clock speedup on MiniLM at 0.95 threshold with 91.9% early exits by layer 7.
BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
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LEAP: Layer-wise Exit-Aware Pretraining for Efficient Transformer Inference
LEAP adds a layer-wise exit-aware constraint to standard distillation, reconciling it with early-exit mechanisms and delivering 1.61x wall-clock speedup on MiniLM at 0.95 threshold with 91.9% early exits by layer 7.