Papers with MoEBERT

1 papers
MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (2022.naacl-main)

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Challenge: Existing methods for training pre-trained language models have limited practicality due to latency requirements.
Approach: They propose a method that uses a Mixture-of-Experts structure to increase model capacity and inference speed.
Outcome: The proposed method outperforms existing distillation methods on natural language understanding and question answering tasks.

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