---
title: "Who cites From English To Foreign — 30 citing papers"
description: "30 papers of the Elamur Research library cite «From English To Foreign Languages: Transferring Pre-trained Language Models», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/tran-2020-english-foreign-languages-transferring-pre/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/tran-2020-english-foreign-languages-transferring-pre/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [From English To Foreign Languages: Transferring…](https://md.research.elamur.ai/free/en/papers/tran-2020-english-foreign-languages-transferring-pre/) / cited by

# Who cites «From English To Foreign Languages: Transferring Pre-trained Language Models»

30 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «From English To Foreign Languages: Transferring Pre-trained Language Models»](https://md.research.elamur.ai/free/en/papers/tran-2020-english-foreign-languages-transferring-pre/)

1. **[On the Cross-lingual Transferability of Monolingual Representations](https://md.research.elamur.ai/free/en/papers/artetxe-2020-cross-lingual-transferability-monolingual-representations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mikel Artetxe, Sebastian Ruder, Dani Yogatama*2020 · 1,179 citations*
2. **[Lifting the Curse of Multilinguality by Pre-training Modular Transformers](https://md.research.elamur.ai/free/en/papers/pfeiffer-2022-lifting-curse-multilinguality-pre-training/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, et al.*2022 · 174 citations*
3. **[WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models](https://md.research.elamur.ai/free/en/papers/minixhofer-2022-wechsel-effective-initialization-subword-embeddings/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Benjamin Minixhofer, Fabian Paischer, Navid Rekabsaz*2022 · 91 citations*
4. **[FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual Models](https://md.research.elamur.ai/free/en/papers/dobler-2023-focus-effective-embedding-initialization-monolingual/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Konstantin Dobler, Gerard de Melo*2023 · 62 citations*
5. [**Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language Models**Mohamed Taher Alrefaie, Nour Eldin Morsy, Nada Samir*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/alrefaie-2024-exploring-tokenization-strategies-vocabulary-sizes/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/tran-2020-english-foreign-languages-transferring-pre/) — From English To Foreign Languages: Transferring Pre-trained Language Models