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Don't Stop Fine-Tuning: On Training Regimes for Few-Shot Cross-Lingual Transfer with Multilingual Language Models

, , and . Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, page 10725--10742. Abu Dhabi, United Arab Emirates, Association for Computational Linguistics, (December 2022)

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Don't Stop Fine-Tuning: On Training Regimes for Few-Shot Cross-Lingual Transfer with Multilingual Language Models, , and . Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, page 10725--10742. Abu Dhabi, United Arab Emirates, Association for Computational Linguistics, (December 2022)Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint Averaging., , and . ACL (1), page 5712-5730. Association for Computational Linguistics, (2023)Don't Stop Fine-Tuning: On Training Regimes for Few-Shot Cross-Lingual Transfer with Multilingual Language Models., , and . EMNLP, page 10725-10742. Association for Computational Linguistics, (2022)SEAGLE: A Platform for Comparative Evaluation of Semantic Encoders for Information Retrieval., , , and . EMNLP/IJCNLP (3), page 199-204. Association for Computational Linguistics, (2019)One For All & All For One: Bypassing Hyperparameter Tuning with Model Averaging for Cross-Lingual Transfer., , and . EMNLP (Findings), page 12186-12193. Association for Computational Linguistics, (2023)SLICER: Sliced Fine-Tuning for Low-Resource Cross-Lingual Transfer for Named Entity Recognition., , and . EMNLP, page 10775-10785. Association for Computational Linguistics, (2022)