Papers by Ikumi Ito

1 papers
Investigating the Effectiveness of Multiple Expert Models Collaboration (2023.findings-emnlp)

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Challenge: Using multi-domain MT, we compare the performance of a single model with a multi-expert model in a fair condition.
Approach: They propose to combine a multi-domain machine translation model with a aggregation strategy to investigate their results.
Outcome: The proposed approach outperforms the current multi-domain model and aggregation methods in a fair condition on multiple domain datasets.

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