| OPT: Open pre-trained transformer language models S Zhang, S Roller, N Goyal, M Artetxe, M Chen, S Chen, C Dewan, ... arXiv preprint arXiv:2205.01068, 2022 | 2898* | 2022 |
| Massively multilingual sentence embeddings for zero-shot cross-lingual transfer and beyond M Artetxe, H Schwenk Transactions of the association for computational linguistics 7, 597-610, 2019 | 1063 | 2019 |
| Rethinking the role of demonstrations: What makes in-context learning work? S Min, X Lyu, A Holtzman, M Artetxe, M Lewis, H Hajishirzi, L Zettlemoyer arXiv preprint arXiv:2202.12837, 2022 | 1023 | 2022 |
| Unsupervised neural machine translation M Artetxe, G Labaka, E Agirre, K Cho Proceedings of the Sixth International Conference on Learning Representations, 2018 | 1022 | 2018 |
| On the cross-lingual transferability of monolingual representations M Artetxe, S Ruder, D Yogatama arXiv preprint arXiv:1910.11856, 2019 | 719 | 2019 |
| A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings M Artetxe, G Labaka, E Agirre Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 697 | 2018 |
| Learning bilingual word embeddings with (almost) no bilingual data M Artetxe, G Labaka, E Agirre Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 608 | 2017 |
| Learning principled bilingual mappings of word embeddings while preserving monolingual invariance M Artetxe, G Labaka, E Agirre Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 473 | 2016 |
| Generalizing and Improving Bilingual Word Embedding Mappings with a Multi-Step Framework of Linear Transformations M Artetxe, G Labaka, E Agirre Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence …, 2018 | 268 | 2018 |
| Unsupervised statistical machine translation M Artetxe, G Labaka, E Agirre arXiv preprint arXiv:1809.01272, 2018 | 262 | 2018 |
| Margin-based parallel corpus mining with multilingual sentence embeddings M Artetxe, H Schwenk Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 217 | 2019 |
| An effective approach to unsupervised machine translation M Artetxe, G Labaka, E Agirre Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 177 | 2019 |
| Multilingual autoregressive entity linking N De Cao, L Wu, K Popat, M Artetxe, N Goyal, M Plekhanov, ... Transactions of the Association for Computational Linguistics 10, 274-290, 2022 | 126 | 2022 |
| Opt: Open pre-trained transformer language models, 2022 S Zhang, S Roller, N Goyal, M Artetxe, M Chen, S Chen, C Dewan, ... URL https://arxiv. org/abs/2205.01068 3, 19-0, 2023 | 104 | 2023 |
| Translation artifacts in cross-lingual transfer learning M Artetxe, G Labaka, E Agirre arXiv preprint arXiv:2004.04721, 2020 | 101 | 2020 |
| Lifting the curse of multilinguality by pre-training modular transformers J Pfeiffer, N Goyal, XV Lin, X Li, J Cross, S Riedel, M Artetxe arXiv preprint arXiv:2205.06266, 2022 | 100 | 2022 |
| Efficient large scale language modeling with mixtures of experts M Artetxe, S Bhosale, N Goyal, T Mihaylov, M Ott, S Shleifer, XV Lin, J Du, ... arXiv preprint arXiv:2112.10684, 2021 | 90 | 2021 |
| Jingfei Du, et al. 2021. Few-shot learning with multilingual language models XV Lin, T Mihaylov, M Artetxe, T Wang, S Chen, D Simig, M Ott, N Goyal, ... arXiv preprint arXiv:2112.10668, 35-40, 2021 | 88 | 2021 |
| Analyzing the Limitations of Cross-lingual Word Embedding Mappings A Ormazabal, M Artetxe, G Labaka, A Soroa, E Agirre Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 80 | 2019 |
| A call for more rigor in unsupervised cross-lingual learning M Artetxe, S Ruder, D Yogatama, G Labaka, E Agirre arXiv preprint arXiv:2004.14958, 2020 | 69 | 2020 |
Eneko Agirre (ORCID 0000-0002-019...Full Professor, Director of HiTZ center, member of Ixa, University of the Basque Country (UPV/EHU)Adresse e-mail validée de ehu.eus
