Papers by SiYu Ding

1 papers
ERNIE-Doc: A Retrospective Long-Document Modeling Transformer (2021.acl-long)

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Challenge: Existing models for document-level language pretraining are not suitable for long documents due to their quadratically increasing memory and time consumption.
Approach: They propose a document-level language pretraining model based on Recurrence Transformers.
Outcome: The proposed model outperforms existing models on language understanding tasks.

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