| 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 | 3711* | 2022 |
| 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 | 1307 | 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 | 1160 | 2019 |
| Unsupervised neural machine translation M Artetxe, G Labaka, E Agirre, K Cho Proceedings of the Sixth International Conference on Learning Representations, 2018 | 1035 | 2018 |
| On the cross-lingual transferability of monolingual representations M Artetxe, S Ruder, D Yogatama arXiv preprint arXiv:1910.11856, 2019 | 787 | 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 | 718 | 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 | 616 | 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 | 479 | 2016 |
| Unsupervised statistical machine translation M Artetxe, G Labaka, E Agirre arXiv preprint arXiv:1809.01272, 2018 | 275 | 2018 |
| 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 | 273 | 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 | 229 | 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 | 184 | 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 | 140 | 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 | 131 | 2021 |
| 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 | 119 | 2022 |
| Translation artifacts in cross-lingual transfer learning M Artetxe, G Labaka, E Agirre arXiv preprint arXiv:2004.04721, 2020 | 116 | 2020 |
| 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 | 101 | 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 |
| The belebele benchmark: a parallel reading comprehension dataset in 122 language variants L Bandarkar, D Liang, B Muller, M Artetxe, SN Shukla, D Husa, N Goyal, ... arXiv preprint arXiv:2308.16884, 2023 | 79 | 2023 |
| Few-shot learning with multilingual generative language models XV Lin, T Mihaylov, M Artetxe, T Wang, S Chen, D Simig, M Ott, N Goyal, ... Proceedings of the 2022 conference on empirical methods in natural language …, 2022 | 79 | 2022 |
Eneko Agirre (ORCID 0000-0002-019...Full Professor, Director of HiTZ center, member of Ixa, University of the Basque Country (UPV/EHU)Email được xác minh tại ehu.eus