Mikel Artetxe

According to our database, Mikel Artetxe authored at least 58 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Latxa: An Open Language Model and Evaluation Suite for Basque.

Julen Etxaniz, Oscar Sainz, Naiara Pérez, Itziar Aldabe, German Rigau, Eneko Agirre, Aitor Ormazabal, Mikel Artetxe, Aitor Soroa

CoRR, 2024

2023

A taxonomy and review of generalization research in NLP.

Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, Mikel Artetxe, Yanai Elazar, Tiago Pimentel, Christos E. Christodoulopoulos, Karim Lasri, Naomi Saphra, Arabella Sinclair, Dennis Ulmer, Florian Schottmann, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin

Nat. Mac. Intell., October, 2023

Gender-specific Machine Translation with Large Language Models.

Eduardo Sánchez, Pierre Andrews, Pontus Stenetorp, Mikel Artetxe, Marta R. Costa-jussà

CoRR, 2023

The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants.

Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa

CoRR, 2023

Evaluation of Faithfulness Using the Longest Supported Subsequence.

Anirudh Mittal, Timo Schick, Mikel Artetxe, Jane Dwivedi-Yu

CoRR, 2023

Do Multilingual Language Models Think Better in English?

Julen Etxaniz, Gorka Azkune, Aitor Soroa, Oier Lopez de Lacalle, Mikel Artetxe

CoRR, 2023

Improving Language Plasticity via Pretraining with Active Forgetting.

Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Stenetorp, Sebastian Riedel, Mikel Artetxe

CoRR, 2023

Improving Language Plasticity via Pretraining with Active Forgetting.

Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Lars Erik Saito Stenetorp, Sebastian Riedel, Mikel Artetxe

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models.

Aitor Ormazabal, Mikel Artetxe, Eneko Agirre

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Revisiting Machine Translation for Cross-lingual Classification.

Mikel Artetxe, Vedanuj Goswami, Shruti Bhosale, Angela Fan, Luke Zettlemoyer

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Training Trajectories of Language Models Across Scales.

Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Veselin Stoyanov

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

On the Role of Parallel Data in Cross-lingual Transfer Learning.

Machel Reid, Mikel Artetxe

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training.

Kelly Marchisio, Patrick S. H. Lewis, Yihong Chen, Mikel Artetxe

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Multilingual Autoregressive Entity Linking.

Nicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni

Trans. Assoc. Comput. Linguistics, 2022

State-of-the-art generalisation research in NLP: a taxonomy and review.

Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, Mikel Artetxe, Yanai Elazar, Tiago Pimentel, Christos Christodoulopoulos, Karim Lasri, Naomi Saphra, Arabella Sinclair, Dennis Ulmer, Florian Schottmann, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin

CoRR, 2022

OPT: Open Pre-trained Transformer Language Models.

Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona T. Diab, Xian Li, Xi Victoria Lin, Todor Mihaylov, Myle Ott, Sam Shleifer, Kurt Shuster, Daniel Simig, Punit Singh Koura, Anjali Sridhar, Tianlu Wang, Luke Zettlemoyer

CoRR, 2022

Efficient Language Modeling with Sparse all-MLP.

Ping Yu, Mikel Artetxe, Myle Ott, Sam Shleifer, Hongyu Gong, Ves Stoyanov, Xian Li

CoRR, 2022

PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining.

Machel Reid, Mikel Artetxe

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Lifting the Curse of Multilinguality by Pre-training Modular Transformers.

Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, Xian Li, James Cross, Sebastian Riedel, Mikel Artetxe

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models.

Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Veselin Stoyanov

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised Poetry Generation.

Aitor Ormazabal, Mikel Artetxe, Manex Agirrezabal, Aitor Soroa, Eneko Agirre

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Few-shot Learning with Multilingual Generative Language Models.

Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models.

Mozes van de Kar, Mengzhou Xia, Danqi Chen, Mikel Artetxe

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Multilingual Machine Translation with Hyper-Adapters.

Christos Baziotis, Mikel Artetxe, James Cross, Shruti Bhosale

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

On the Role of Bidirectionality in Language Model Pre-Training.

Mikel Artetxe, Jingfei Du, Naman Goyal, Luke Zettlemoyer, Veselin Stoyanov

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Efficient Large Scale Language Modeling with Mixtures of Experts.

Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giridharan Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeffrey Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Veselin Stoyanov

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Does Corpus Quality Really Matter for Low-Resource Languages?

Mikel Artetxe, Itziar Aldabe, Rodrigo Agerri, Olatz Perez-de-Viñaspre, Aitor Soroa

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Principled Paraphrase Generation with Parallel Corpora.

Aitor Ormazabal, Mikel Artetxe, Aitor Soroa, Gorka Labaka, Eneko Agirre

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Efficient Large Scale Language Modeling with Mixtures of Experts.

Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giri Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Ves Stoyanov

CoRR, 2021

Few-shot Learning with Multilingual Language Models.

Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li

CoRR, 2021

Multilingual Machine Translation: Closing the Gap between Shared and Language-specific Encoder-Decoders.

Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, Mikel Artetxe

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Beyond Offline Mapping: Learning Cross-lingual Word Embeddings through Context Anchoring.

Aitor Ormazabal, Mikel Artetxe, Aitor Soroa, Gorka Labaka, Eneko Agirre

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Do all roads lead to Rome? Understanding the role of initialization in iterative back-translation.

Mikel Artetxe, Gorka Labaka, Noe Casas, Eneko Agirre

Knowl. Based Syst., 2020

Training Multilingual Machine Translation by Alternately Freezing Language-Specific Encoders-Decoders.

Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, Mikel Artetxe

CoRR, 2020

Translation Artifacts in Cross-lingual Transfer Learning.

Mikel Artetxe, Gorka Labaka, Eneko Agirre

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining.

Ivana Kvapilíková, Mikel Artetxe, Gorka Labaka, Eneko Agirre, Ondrej Bojar

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020

A Call for More Rigor in Unsupervised Cross-lingual Learning.

Mikel Artetxe, Sebastian Ruder, Dani Yogatama, Gorka Labaka, Eneko Agirre

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

On the Cross-lingual Transferability of Monolingual Representations.

Mikel Artetxe, Sebastian Ruder, Dani Yogatama

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond.

Mikel Artetxe, Holger Schwenk

Trans. Assoc. Comput. Linguistics, 2019

Unsupervised Neural Machine Translation, a new paradigm solely based on monolingual text.

Mikel Artetxe, Gorka Labaka, Eneko Agirre

Proces. del Leng. Natural, 2019

Contextualized Translations of Phrasal Verbs with Distributional Compositional Semantics and Monolingual Corpora.

Pablo Gamallo, Susana Sotelo, José Ramom Pichel Campos, Mikel Artetxe

Comput. Linguistics, 2019

Analyzing the Limitations of Cross-lingual Word Embedding Mappings.

Aitor Ormazabal, Mikel Artetxe, Gorka Labaka, Aitor Soroa, Eneko Agirre

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings.

Mikel Artetxe, Holger Schwenk

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Bilingual Lexicon Induction through Unsupervised Machine Translation.

Mikel Artetxe, Gorka Labaka, Eneko Agirre

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

An Effective Approach to Unsupervised Machine Translation.

Mikel Artetxe, Gorka Labaka, Eneko Agirre

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Unsupervised Neural Machine Translation.

Mikel Artetxe, Gorka Labaka, Eneko Agirre, Kyunghyun Cho

Proceedings of the 6th International Conference on Learning Representations, 2018

Unsupervised Statistical Machine Translation.

Mikel Artetxe, Gorka Labaka, Eneko Agirre

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Uncovering Divergent Linguistic Information in Word Embeddings with Lessons for Intrinsic and Extrinsic Evaluation.

Mikel Artetxe, Gorka Labaka, Iñigo Lopez-Gazpio, Eneko Agirre

Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings.

Mikel Artetxe, Gorka Labaka, Eneko Agirre

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Generalizing and Improving Bilingual Word Embedding Mappings with a Multi-Step Framework of Linear Transformations.

Mikel Artetxe, Gorka Labaka, Eneko Agirre

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Learning bilingual word embeddings with (almost) no bilingual data.

Mikel Artetxe, Gorka Labaka, Eneko Agirre

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Learning principled bilingual mappings of word embeddings while preserving monolingual invariance.

Mikel Artetxe, Gorka Labaka, Eneko Agirre

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Adding syntactic structure to bilingual terminology for improved domain adaptation.

Mikel Artetxe, Gorka Labaka, Chakaveh Saedi, João Rodrigues, João Silva, António Branco, Eneko Agirre

Proceedings of the 2nd Deep Machine Translation Workshop, 2016

2015

Lexical semantics, Basque and Spanish in QTLeap: Quality Translation by Deep Language Engineering Approaches.

Eneko Agirre, Iñaki Alegria, Nora Aranberri, Mikel Artetxe, Ander Barrena, António Branco, Arantza Díaz de Ilarraza, Koldo Gojenola, Gorka Labaka, Arantxa Otegi, Kepa Sarasola

Proces. del Leng. Natural, 2015

Analyzing English-Spanish Named-Entity enhanced Machine Translation.

Mikel Artetxe, Eneko Agirre, Iñaki Alegria, Gorka Labaka

Proceedings of the Ninth Workshop on Syntax, 2015

EHU at TweetMT: Adapting MT Engines for Formal Tweets.

Iñaki Alegria, Mikel Artetxe, Gorka Labaka, Kepa Sarasola

Proceedings of the Tweet Translation Workshop 2015 co-located with 31st Conference of the Spanish Society for Natural Language Processing (SEPLN 2015), 2015

Building hybrid machine translation systems by using an EBMT preprocessor to create partial translations.

Mikel Artetxe, Gorka Labaka, Kepa Sarasola

Proceedings of the 18th Annual Conference of the European Association for Machine Translation, 2015