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Decoupled Transformer for Scalable Inference in Open-domain Question Answering
To reduce computational cost and latency, we propose decoupling the transformer MRC model into input-component and cross-component.
Robustly Optimized and Distilled Training for Natural Language Understanding
In this paper, we explore multi-task learning (MTL) as a second pretraining step to learn enhanced universal language representation for transformer language models.
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