Mikel Artetxe

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 92

Top Topics

Machine Translation

Parallel Corpus

Top Venues

Publications

Aitor Ormazabal, Che Zheng, Cyprien de Masson d'Autume, Dani Yogatama, Deyu Fu, Donovan Ong, Eric Chen, Eugenie Lamprecht, Hai Pham, Isaac Ong, Kaloyan Aleksiev, Lei Li, Matthew Henderson, Max Bain, Mikel Artetxe, Nishant Relan, Piotr Padlewski, Qi Liu, Ren Chen, Samuel Phua, Yazheng Yang, Yi Tay, Yuqi Wang, Zhongkai Zhu, Zhihui Xie
Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models. CoRR (2024)
Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa
The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants. ACL (1) (2024)
Piotr Padlewski, Max Bain, Matthew Henderson, Zhongkai Zhu, Nishant Relan, Hai Pham, Donovan Ong, Kaloyan Aleksiev, Aitor Ormazabal, Samuel Phua, Ethan Yeo, Eugenie Lamprecht, Qi Liu, Yuqi Wang, Eric Chen, Deyu Fu, Lei Li, Che Zheng, Cyprien de Masson d'Autume, Dani Yogatama, Mikel Artetxe, Yi Tay
Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language models. CoRR (2024)
Julen Etxaniz, Oscar Sainz, Naiara Pérez, Itziar Aldabe, German Rigau, Eneko Agirre, Aitor Ormazabal, Mikel Artetxe, Aitor Soroa
Latxa: An Open Language Model and Evaluation Suite for Basque. CoRR (2024)
Eneko Agirre, Itziar Aldabe, Xabier Arregi, Mikel Artetxe, Unai Atutxa, Ekhi Azurmendi, Iker de la Iglesia, Julen Etxaniz, Víctor García Romillo, Inma Hernáez Rioja, Asier Herranz, Mikel Iruskieta, Oier López de Lacalle, Eva Navas, Paula Ontalvilla, Aitor Ormazabal, Naiara Pérez, German Rigau, Oscar Sainz, Jon Sánchez, Ibon Saratxaga, Aitor Soroa, Christoforos Souganidis, Jon Vadillo, Aimar Zabala
IKER-GAITU: Research on Language Technology for Basque and Other Low-Resource Languages. SEPLN (Projects and Demonstrations) (2024)
Julen Etxaniz, Gorka Azkune, Aitor Soroa, Oier Lopez de Lacalle, Mikel Artetxe
BertaQA: How Much Do Language Models Know About Local Culture? CoRR (2024)
Anirudh Mittal, Timo Schick, Mikel Artetxe, Jane Dwivedi-Yu
Evaluation of Faithfulness Using the Longest Supported Subsequence. CoRR (2023)
Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Veselin Stoyanov
Training Trajectories of Language Models Across Scales. ACL (1) (2023)
Aitor Ormazabal, Mikel Artetxe, Eneko Agirre
CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models. EMNLP (2023)
Mikel Artetxe, Vedanuj Goswami, Shruti Bhosale, Angela Fan, Luke Zettlemoyer
Revisiting Machine Translation for Cross-lingual Classification. CoRR (2023)
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
A taxonomy and review of generalization research in NLP. Nat. Mac. Intell. 5 (10) (2023)
Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Stenetorp, Sebastian Riedel, Mikel Artetxe
Improving Language Plasticity via Pretraining with Active Forgetting. CoRR (2023)
Kelly Marchisio, Patrick S. H. Lewis, Yihong Chen, Mikel Artetxe
Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training. ACL (Findings) (2023)
Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Lars Erik Saito Stenetorp, Sebastian Riedel, Mikel Artetxe
Improving Language Plasticity via Pretraining with Active Forgetting. NeurIPS (2023)
Mikel Artetxe, Vedanuj Goswami, Shruti Bhosale, Angela Fan, Luke Zettlemoyer
Revisiting Machine Translation for Cross-lingual Classification. EMNLP (2023)
Eduardo Sánchez, Pierre Andrews, Pontus Stenetorp, Mikel Artetxe, Marta R. Costa-jussà
Gender-specific Machine Translation with Large Language Models. CoRR (2023)
Aitor Ormazabal, Mikel Artetxe, Eneko Agirre
CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models. CoRR (2023)
Julen Etxaniz, Gorka Azkune, Aitor Soroa, Oier Lopez de Lacalle, Mikel Artetxe
Do Multilingual Language Models Think Better in English? CoRR (2023)
Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa
The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants. CoRR (2023)
Machel Reid, Mikel Artetxe
On the Role of Parallel Data in Cross-lingual Transfer Learning. ACL (Findings) (2023)
Nicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni
Multilingual Autoregressive Entity Linking. Trans. Assoc. Comput. Linguistics 10 (2022)
Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, Xian Li, James Cross, Sebastian Riedel, Mikel Artetxe
Lifting the Curse of Multilinguality by Pre-training Modular Transformers. NAACL-HLT (2022)
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
State-of-the-art generalisation research in NLP: a taxonomy and review. CoRR (2022)
Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? CoRR (2022)
Mozes van de Kar, Mengzhou Xia, Danqi Chen, Mikel Artetxe
Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models. EMNLP (2022)
Mikel Artetxe, Jingfei Du, Naman Goyal, Luke Zettlemoyer, Ves Stoyanov
On the Role of Bidirectionality in Language Model Pre-Training. CoRR (2022)
Christos Baziotis, Mikel Artetxe, James Cross, Shruti Bhosale
Multilingual Machine Translation with Hyper-Adapters. CoRR (2022)
Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP (2022)
Mikel Artetxe, Itziar Aldabe, Rodrigo Agerri, Olatz Perez-de-Viñaspre, Aitor Soroa
Does Corpus Quality Really Matter for Low-Resource Languages? EMNLP (2022)
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
Efficient Large Scale Language Modeling with Mixtures of Experts. EMNLP (2022)
Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, Xian Li, James Cross, Sebastian Riedel, Mikel Artetxe
Lifting the Curse of Multilinguality by Pre-training Modular Transformers. CoRR (2022)
Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Ves Stoyanov
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models. CoRR (2022)
Christos Baziotis, Mikel Artetxe, James Cross, Shruti Bhosale
Multilingual Machine Translation with Hyper-Adapters. EMNLP (2022)
Kelly Marchisio, Patrick S. H. Lewis, Yihong Chen, Mikel Artetxe
Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training. CoRR (2022)
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
OPT: Open Pre-trained Transformer Language Models. CoRR (2022)
Aitor Ormazabal, Mikel Artetxe, Aitor Soroa, Gorka Labaka, Eneko Agirre
Principled Paraphrase Generation with Parallel Corpora. ACL (1) (2022)
Machel Reid, Mikel Artetxe
On the Role of Parallel Data in Cross-lingual Transfer Learning. CoRR (2022)
Machel Reid, Mikel Artetxe
PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining. NAACL-HLT (2022)
Aitor Ormazabal, Mikel Artetxe, Manex Agirrezabal, Aitor Soroa, Eneko Agirre
PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised Poetry Generation. CoRR (2022)
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 Diab, Veselin Stoyanov, Xian Li
Few-shot Learning with Multilingual Generative Language Models. EMNLP (2022)
Ping Yu, Mikel Artetxe, Myle Ott, Sam Shleifer, Hongyu Gong, Ves Stoyanov, Xian Li
Efficient Language Modeling with Sparse all-MLP. CoRR (2022)
Mikel Artetxe, Itziar Aldabe, Rodrigo Agerri, Olatz Perez-de-Viñaspre, Aitor Soroa
Does Corpus Quality Really Matter for Low-Resource Languages? CoRR (2022)
Aitor Ormazabal, Mikel Artetxe, Manex Agirrezabal, Aitor Soroa, Eneko Agirre
PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised Poetry Generation. EMNLP (Findings) (2022)
Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Ves Stoyanov
Training Trajectories of Language Models Across Scales. CoRR (2022)
Machel Reid, Mikel Artetxe
PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining. RepL4NLP@ACL (2022)
Mozes van de Kar, Mengzhou Xia, Danqi Chen, Mikel Artetxe
Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models. CoRR (2022)
Aitor Ormazabal, Mikel Artetxe, Gorka Labaka, Aitor Soroa, Eneko Agirre
Principled Paraphrase Generation with Parallel Corpora. CoRR (2022)
Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Veselin Stoyanov
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models. EMNLP (2022)
Mikel Artetxe, Jingfei Du, Naman Goyal, Luke Zettlemoyer, Veselin Stoyanov
On the Role of Bidirectionality in Language Model Pre-Training. EMNLP (Findings) (2022)
Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, Mikel Artetxe
Multilingual Machine Translation: Closing the Gap between Shared and Language-specific Encoder-Decoders. EACL (2021)
Ivana Kvapilíková, Mikel Artetxe, Gorka Labaka, Eneko Agirre, Ondrej Bojar
Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining. CoRR (2021)
Nicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni
Multilingual Autoregressive Entity Linking. CoRR (2021)
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
Few-shot Learning with Multilingual Language Models. CoRR (2021)
Aitor Ormazabal, Mikel Artetxe, Aitor Soroa, Gorka Labaka, Eneko Agirre
Beyond Offline Mapping: Learning Cross-lingual Word Embeddings through Context Anchoring. ACL/IJCNLP (1) (2021)
Machel Reid, Mikel Artetxe
PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining. CoRR (2021)
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
Efficient Large Scale Language Modeling with Mixtures of Experts. CoRR (2021)
Aitor Ormazabal, Mikel Artetxe, Aitor Soroa, Gorka Labaka, Eneko Agirre
Beyond Offline Mapping: Learning Cross Lingual Word Embeddings through Context Anchoring. CoRR (2020)
Mikel Artetxe, Sebastian Ruder, Dani Yogatama, Gorka Labaka, Eneko Agirre
A Call for More Rigor in Unsupervised Cross-lingual Learning. ACL (2020)
Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, Mikel Artetxe
Multilingual Machine Translation: Closing the Gap between Shared and Language-specific Encoder-Decoders. CoRR (2020)
Mikel Artetxe, Gorka Labaka, Noe Casas, Eneko Agirre
Do all Roads Lead to Rome? Understanding the Role of Initialization in Iterative Back-Translation. CoRR (2020)
Mikel Artetxe, Sebastian Ruder, Dani Yogatama, Gorka Labaka, Eneko Agirre
A Call for More Rigor in Unsupervised Cross-lingual Learning. CoRR (2020)
Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, Mikel Artetxe
Training Multilingual Machine Translation by Alternately Freezing Language-Specific Encoders-Decoders. CoRR (2020)
Mikel Artetxe, Sebastian Ruder, Dani Yogatama
On the Cross-lingual Transferability of Monolingual Representations. ACL (2020)
Mikel Artetxe, Gorka Labaka, Eneko Agirre
Translation Artifacts in Cross-lingual Transfer Learning. EMNLP (1) (2020)
Mikel Artetxe, Gorka Labaka, Eneko Agirre
Translation Artifacts in Cross-lingual Transfer Learning. CoRR (2020)
Mikel Artetxe, Gorka Labaka, Noe Casas, Eneko Agirre
Do all roads lead to Rome? Understanding the role of initialization in iterative back-translation. Knowl. Based Syst. 206 (2020)
Ivana Kvapilíková, Mikel Artetxe, Gorka Labaka, Eneko Agirre, Ondrej Bojar
Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining. ACL (student) (2020)
Mikel Artetxe, Gorka Labaka, Eneko Agirre
An Effective Approach to Unsupervised Machine Translation. ACL (1) (2019)
Aitor Ormazabal, Mikel Artetxe, Gorka Labaka, Aitor Soroa, Eneko Agirre
Analyzing the Limitations of Cross-lingual Word Embedding Mappings. CoRR (2019)
Mikel Artetxe, Gorka Labaka, Eneko Agirre
Bilingual Lexicon Induction through Unsupervised Machine Translation. ACL (1) (2019)
Mikel Artetxe, Holger Schwenk
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond. Trans. Assoc. Comput. Linguistics 7 (2019)
Mikel Artetxe, Sebastian Ruder, Dani Yogatama
On the Cross-lingual Transferability of Monolingual Representations. CoRR (2019)
Mikel Artetxe, Gorka Labaka, Eneko Agirre
Bilingual Lexicon Induction through Unsupervised Machine Translation. CoRR (2019)
Aitor Ormazabal, Mikel Artetxe, Gorka Labaka, Aitor Soroa, Eneko Agirre
Analyzing the Limitations of Cross-lingual Word Embedding Mappings. ACL (1) (2019)
Mikel Artetxe, Holger Schwenk
Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings. ACL (1) (2019)
Pablo Gamallo, Susana Sotelo, José Ramom Pichel Campos, Mikel Artetxe
Contextualized Translations of Phrasal Verbs with Distributional Compositional Semantics and Monolingual Corpora. Comput. Linguistics 45 (3) (2019)
Mikel Artetxe, Gorka Labaka, Eneko Agirre
An Effective Approach to Unsupervised Machine Translation. CoRR (2019)
Mikel Artetxe, Gorka Labaka, Eneko Agirre
Unsupervised Neural Machine Translation, a new paradigm solely based on monolingual text. Proces. del Leng. Natural 63 (2019)
Mikel Artetxe, Gorka Labaka, Eneko Agirre
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings. CoRR (2018)
Mikel Artetxe, Gorka Labaka, Eneko Agirre
Unsupervised Statistical Machine Translation. EMNLP (2018)
Mikel Artetxe, Gorka Labaka, Iñigo Lopez-Gazpio, Eneko Agirre
Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation. CoRR (2018)
Mikel Artetxe, Holger Schwenk
Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings. CoRR (2018)
Mikel Artetxe, Holger Schwenk
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond. CoRR (2018)
Mikel Artetxe, Gorka Labaka, Eneko Agirre
Generalizing and Improving Bilingual Word Embedding Mappings with a Multi-Step Framework of Linear Transformations. AAAI (2018)
Mikel Artetxe, Gorka Labaka, Iñigo Lopez-Gazpio, Eneko Agirre
Uncovering Divergent Linguistic Information in Word Embeddings with Lessons for Intrinsic and Extrinsic Evaluation. CoNLL (2018)
Mikel Artetxe, Gorka Labaka, Eneko Agirre
Unsupervised Statistical Machine Translation. CoRR (2018)
Mikel Artetxe, Gorka Labaka, Eneko Agirre, Kyunghyun Cho
Unsupervised Neural Machine Translation. ICLR (Poster) (2018)
Mikel Artetxe, Gorka Labaka, Eneko Agirre
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings. ACL (1) (2018)
Mikel Artetxe, Gorka Labaka, Eneko Agirre
Learning bilingual word embeddings with (almost) no bilingual data. ACL (1) (2017)
Mikel Artetxe, Gorka Labaka, Eneko Agirre, Kyunghyun Cho
Unsupervised Neural Machine Translation. CoRR (2017)
Mikel Artetxe, Gorka Labaka, Eneko Agirre
Learning principled bilingual mappings of word embeddings while preserving monolingual invariance. EMNLP (2016)
Mikel Artetxe, Gorka Labaka, Chakaveh Saedi, João Rodrigues, João Silva, António Branco, Eneko Agirre
Adding syntactic structure to bilingual terminology for improved domain adaptation. DMTW (2016)
Eneko Agirre, Iñaki Alegria, Nora Aranberri, Mikel Artetxe, Ander Barrena, António Branco, Arantza Díaz de Ilarraza, Koldo Gojenola, Gorka Labaka, Arantxa Otegi, Kepa Sarasola
Lexical semantics, Basque and Spanish in QTLeap: Quality Translation by Deep Language Engineering Approaches. Proces. del Leng. Natural 55 (2015)
Mikel Artetxe, Eneko Agirre, Iñaki Alegria, Gorka Labaka
Analyzing English-Spanish Named-Entity enhanced Machine Translation. SSST@NAACL-HLT (2015)
Iñaki Alegria, Mikel Artetxe, Gorka Labaka, Kepa Sarasola
EHU at TweetMT: Adapting MT Engines for Formal Tweets. TweetMT@SEPLN (2015)
Mikel Artetxe, Gorka Labaka, Kepa Sarasola
Building hybrid machine translation systems by using an EBMT preprocessor to create partial translations. EAMT (2015)