🔗 Who cites «Extending Multilingual BERT to Low-Resource Languages»

93 papers of our library cite it (of the 149,439 whose bibliographies we read) · 20 with a page here, the most cited first · ← back to «Extending Multilingual BERT to Low-Resource Languages»

1. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
2. Canine: Pre-training an Efficient Tokenization-Free Encoder for Language RepresentationTransactions of the Association for Computational Linguistics (TACL)Jonathan H. Clark, Dan Garrette, Iulia Turc, et al.2022 · 301 citations
3. Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLParXiv:2112.10508Sabrina J. Mielke, Zaid Alyafeai, Elizabeth Salesky, et al.2021 · 191 citations
4. UNKs Everywhere: Adapting Multilingual Language Models to New ScriptsConference on Empirical Methods in Natural Language Processing (EMNLP)Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, et al.2021 · 176 citations
5. Lifting the Curse of Multilinguality by Pre-training Modular TransformersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, et al.2022 · 174 citations
6. AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, et al.2022 · 164 citations
7. A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News TranslationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, et al.2022 · 157 citations
8. Bitext Mining Using Distilled Sentence Representations for Low-Resource LanguagesFindings of the Association for Computational LinguisticsKevin Heffernan, Onur Çelebi, Holger Schwenk2022 · 127 citations
9. BLOOM+1: Adding Language Support to BLOOM for Zero-Shot PromptingAnnual Meeting of the Association for Computational Linguistics (ACL)Zheng Xin Yong, Hailey Schoelkopf, Niklas Muennighoff, et al.2023 · 102 citations
10. How to Adapt Your Pretrained Multilingual Model to 1600 LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Abteen Ebrahimi, Katharina Kann2021 · 88 citations
11. Expanding Pretrained Models to Thousands More Languages via Lexicon-based AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyi Wang, Sebastian Ruder, Graham Neubig2022 · 73 citations
12. FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Konstantin Dobler, Gerard de Melo2023 · 62 citations
13. MaLA-500: Massive Language Adaptation of Large Language ModelsarXiv:2401.13303Peiqin Lin, Shaoxiong Ji, Jorg Tiedemann, et al.2024 · 58 citations
14. Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport DistillationarXiv:2301.12566Zhiqi Huang, Puxuan Yu, James Allan2023 · 46 citations
15. Lost in Translation: Large Language Models in Non-English Content AnalysisarXiv:2306.07377Gabriel Nicholas, Aliya Bhatia2023 · 45 citations
16. Pre-training Data Quality and Quantity for a Low-Resource Language: New Corpus and BERT Models for MalteseProceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language ProcessingKurt Micallef, Albert Gatt, Marc Tanti, et al.2022 · 41 citations
17. Weakly and Semi-Supervised Learning for Arabic Text Classification using Monodialectal Language ModelsArabic Natural Language Processing Workshop (WANLP)Reem AlYami, Rabah Al-Zaidy2022 · 11 citations
18. Disentangling Singlish Discourse Particles with Task-Driven RepresentationarXiv:2409.20366Linus Tze En Foo, Lynnette Hui Xian Ng2024 · 9 citations
19. Bridging the Resource Gap: Exploring the Efficacy of English and Multilingual LLMs for SwedishWorkshop on the Role of Resources in the Age of Large Language ModelsOskar Holmström, Jenny Kunz, Marco Kuhlmann2023 · 8 citations
20. Validator-Guided Hard Negative Mining for Masked Language Modeling in Low-Resource Ancient LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Andrei Voinea2026

73 more papers of our library cite it; they have no page here yet.

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