Papers by Xiaoyue Xu

1 papers
Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models (2023.findings-emnlp)

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Challenge: Parameter-shared pre-trained language models (PLMs) have emerged as a successful approach in resource-constrained environments.
Approach: They propose a method to enhance the inference efficiency of parameter-shared PLMs by pre-training models that can achieve even greater acceleration.
Outcome: The proposed method improves inference efficiency on autoregressive and autoencoding models.

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