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09/13/2021
CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation
In this paper, we take the advantage of previous pre-trained models (PTM...
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05/28/2021
Accelerating BERT Inference for Sequence Labeling via Early-Exit
Both performance and efficiency are crucial factors for sequence labelin...
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12/29/2020
Generating Adversarial Examples in Chinese Texts Using Sentence-Pieces
Adversarial attacks in texts are mostly substitution-based methods that ...
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10/01/2020
CoLAKE: Contextualized Language and Knowledge Embedding
With the emerging branch of incorporating factual knowledge into pre-tra...
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03/18/2020
Pre-trained Models for Natural Language Processing: A Survey
Recently, the emergence of pre-trained models (PTMs) has brought natural...
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11/12/2019
Learning Sparse Sharing Architectures for Multiple Tasks
Most existing deep multi-task learning models are based on parameter sha...
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02/25/2019
