Papers with Transkimmer architecture

1 papers
Transkimmer: Transformer Learns to Layer-wise Skim (2022.acl-long)

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Challenge: Prior work has proposed to augment Transformer model with the capability of skimming tokens to improve its computational efficiency.
Approach: They propose to add a parameterized predictor before each layer that learns to make the skimming decision.
Outcome: The proposed model achieves 10.97x speedup on GLUE benchmark compared with BERT-base baseline with less than 1% accuracy degradation.

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