Papers with English RoBERTa

1 papers
WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models (2022.naacl-main)

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Challenge: Existing methods to train large pretrained language models require more computational resources and are expensive to train in other languages.
Approach: They propose a method to transfer pretrained language models to new languages using subword-based tokenization and embeddings.
Outcome: The proposed method outperforms existing methods on low-resource languages and makes training large models more accessible and less damaging to the environment.

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