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%0 Conference Proceedings
%T OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued Pretraining
%A Liu, Yihong
%A Lin, Peiqin
%A Wang, Mingyang
%A Schuetze, Hinrich
%Y Duh, Kevin
%Y Gomez, Helena
%Y Bethard, Steven
%S Findings of the Association for Computational Linguistics: NAACL 2024
%D 2024
%8 June
%I Association for Computational Linguistics
%C Mexico City, Mexico
%F liu-etal-2024-ofa
%R 10.18653/v1/2024.findings-naacl.68
%U https://aclanthology.org/2024.findings-naacl.68/
%U https://doi.org/10.18653/v1/2024.findings-naacl.68
%P 1067-1097

Markdown (Informal)

[OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued Pretraining](https://aclanthology.org/2024.findings-naacl.68/) (Liu et al., Findings 2024)

• OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued Pretraining (Liu et al., Findings 2024)

ACL

• Yihong Liu, Peiqin Lin, Mingyang Wang, and Hinrich Schuetze. 2024. OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued Pretraining. In Findings of the Association for Computational Linguistics: NAACL 2024, pages 1067–1097, Mexico City, Mexico. Association for Computational Linguistics.