Papers by Ru He

1 papers
PEER: Pre-training ELECTRA Extended by Ranking (2023.findings-acl)

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Challenge: Existing models for pre-training require expensive pre-trainer computation cost . ELECTRA model can perform replaced token detection (RTD) task with reduced pre- training cost compared to current models .
Approach: They propose to extend a discriminator-based replaced token detection task into a ranker-based task . they propose to use a binary classifier to perform a more precise task with negligible additional computation cost.
Outcome: The proposed model outperforms state-of-the-art models with ELECTRA in GLUE tasks given the same cost.

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