Papers by Rintaro Enomoto

1 papers
Investigating Web Corpus Filtering Methods for Language Model Development in Japanese (2024.naacl-srw)

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Challenge: a high quality web corpus is essential for large language models to be developed . strong filtering methods can lead to lesser performance in downstream tasks .
Approach: They build classifiers and language models that can process large amounts of corpora quickly enough for pretraining LLMs.
Outcome: The proposed method is the most accurate and leads to lesser performance in downstream tasks.

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