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Mikel Artetxe
Number of Papers:- 43
Number of Citations:- 82
First ACL Paper:- 2015
Latest ACL Paper:- 2024
Venues:-
NAACL
CoNLL
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P
s
EMNLP
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E
C
M
g
CL
TACL
A
d
WS
ACL
EACL
i
EAMT
IJCNLP
SSST
N
F
n
Co-Authors:-
Abhinandan Krishnan
Ahmed Elhady
Aitor Ormazabal
Aitor Soroa
Angela Fan
Similar Authors:-
Maria Pelaez Brioso
V Palazon
Bertjan Busser
G Peris
Paavo Alku
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
Improving Factuality in Clinical Abstractive Multi-Document Summarization by Guided Continued Pre-training
NAACL
Ahmed Elhady |
Khaled Elsayed |
Eneko Agirre |
Mikel Artetxe |
Do Multilingual Language Models Think Better in English?
NAACL
Julen Etxaniz |
Gorka Azkune |
Aitor Soroa |
Oier Lacalle |
Mikel Artetxe |
The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants
ACL
Lucas Bandarkar |
Davis Liang |
Benjamin Muller |
Mikel Artetxe |
Satya Narayan Shukla |
Donald Husa |
Naman Goyal |
Abhinandan Krishnan |
Luke Zettlemoyer |
Madian Khabsa |
Latxa: An Open Language Model and Evaluation Suite for Basque
ACL
Julen Etxaniz |
Oscar Sainz |
Naiara Miguel |
Itziar Aldabe |
German Rigau |
Eneko Agirre |
Aitor Ormazabal |
Mikel Artetxe |
Aitor Soroa |
On the Role of Parallel Data in Cross-lingual Transfer Learning
F
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d
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n
g
s
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A
C
L
Machel Reid |
Mikel Artetxe |
CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models
EMNLP
Aitor Ormazabal |
Mikel Artetxe |
Eneko Agirre |
Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training
F
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d
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s
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A
C
L
Kelly Marchisio |
Patrick Lewis |
Yihong Chen |
Mikel Artetxe |
Revisiting Machine Translation for Cross-lingual Classification
EMNLP
Mikel Artetxe |
Vedanuj Goswami |
Shruti Bhosale |
Angela Fan |
Luke Zettlemoyer |
Training Trajectories of Language Models Across Scales
ACL
Mengzhou Xia |
Mikel Artetxe |
Chunting Zhou |
Xi Victoria Lin |
Ramakanth Pasunuru |
Danqi Chen |
Luke Zettlemoyer |
Veselin Stoyanov |
Principled Paraphrase Generation with Parallel Corpora
ACL
Aitor Ormazabal |
Mikel Artetxe |
Aitor Soroa |
Gorka Labaka |
Eneko Agirre |
Multilingual Autoregressive Entity Linking
TACL
Nicola De Cao |
Ledell Wu |
Kashyap Popat |
Mikel Artetxe |
Naman Goyal |
Mikhail Plekhanov |
Luke Zettlemoyer |
Nicola Cancedda |
Sebastian Riedel |
Fabio Petroni |
PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining
NAACL
Machel Reid |
Mikel Artetxe |
Lifting the Curse of Multilinguality by Pre-training Modular Transformers
NAACL
Jonas Pfeiffer |
Naman Goyal |
Xi Lin |
Xian Li |
James Cross |
Sebastian Riedel |
Mikel Artetxe |
Don’t Prompt, Search! Mining-based Zero-Shot Learning with Language Models
EMNLP
Mozes van de Kar |
Mengzhou Xia |
Danqi Chen |
Mikel Artetxe |
Efficient Large Scale Language Modeling with Mixtures of Experts
EMNLP
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 Diab |
Zornitsa Kozareva |
Veselin Stoyanov |
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
EMNLP
Sewon Min |
Xinxi Lyu |
Ari Holtzman |
Mikel Artetxe |
Mike Lewis |
Hannaneh Hajishirzi |
Luke Zettlemoyer |
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models
EMNLP
Mengzhou Xia |
Mikel Artetxe |
Jingfei Du |
Danqi Chen |
Veselin Stoyanov |
Does Corpus Quality Really Matter for Low-Resource Languages?
EMNLP
Mikel Artetxe |
Itziar Aldabe |
Rodrigo Agerri |
Olatz Perez-de-Viñaspre |
Aitor Soroa |
On the Role of Bidirectionality in Language Model Pre-Training
F
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d
i
n
g
s
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E
M
N
L
P
Mikel Artetxe |
Jingfei Du |
Naman Goyal |
Luke Zettlemoyer |
Veselin Stoyanov |
PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised Poetry Generation
F
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n
d
i
n
g
s
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E
M
N
L
P
Aitor Ormazabal |
Mikel Artetxe |
Manex Agirrezabal |
Aitor Soroa |
Eneko Agirre |
Multilingual Machine Translation with Hyper-Adapters
EMNLP
Christos Baziotis |
Mikel Artetxe |
James Cross |
Shruti Bhosale |
Few-shot Learning with Multilingual Generative Language Models
EMNLP
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 |
Multilingual Machine Translation: Closing the Gap between Shared and Language-specific Encoder-Decoders
EACL
Carlos Escolano |
Marta R. Costa-jussà |
José A. R. Fonollosa |
Mikel Artetxe |
Beyond Offline Mapping: Learning Cross-lingual Word Embeddings through Context Anchoring
ACL
IJCNLP
Aitor Ormazabal |
Mikel Artetxe |
Aitor Soroa |
Gorka Labaka |
Eneko Agirre |
A Call for More Rigor in Unsupervised Cross-lingual Learning
ACL
Mikel Artetxe |
Sebastian Ruder |
Dani Yogatama |
Gorka Labaka |
Eneko Agirre |
Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining
ACL
Ivana Kvapilíková |
Mikel Artetxe |
Gorka Labaka |
Eneko Agirre |
Ondřej Bojar |
On the Cross-lingual Transferability of Monolingual Representations
ACL
Mikel Artetxe |
Sebastian Ruder |
Dani Yogatama |
Translation Artifacts in Cross-lingual Transfer Learning
EMNLP
Mikel Artetxe |
Gorka Labaka |
Eneko Agirre |
An Effective Approach to Unsupervised Machine Translation
ACL
Mikel Artetxe |
Gorka Labaka |
Eneko Agirre |
Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings
ACL
Mikel Artetxe |
Holger Schwenk |
Analyzing the Limitations of Cross-lingual Word Embedding Mappings
ACL
Aitor Ormazabal |
Mikel Artetxe |
Gorka Labaka |
Aitor Soroa |
Eneko Agirre |
Bilingual Lexicon Induction through Unsupervised Machine Translation
ACL
Mikel Artetxe |
Gorka Labaka |
Eneko Agirre |
Contextualized Translations of Phrasal Verbs with Distributional Compositional Semantics and Monolingual Corpora
CL
Pablo Gamallo |
Susana Sotelo |
José Ramom Pichel |
Mikel Artetxe |
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
TACL
Mikel Artetxe |
Holger Schwenk |
Unsupervised Statistical Machine Translation
EMNLP
Mikel Artetxe |
Gorka Labaka |
Eneko Agirre |
Uncovering Divergent Linguistic Information in Word Embeddings with Lessons for Intrinsic and Extrinsic Evaluation
CoNLL
Mikel Artetxe |
Gorka Labaka |
Iñigo Lopez-Gazpio |
Eneko Agirre |
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings
ACL
Mikel Artetxe |
Gorka Labaka |
Eneko Agirre |
Learning bilingual word embeddings with (almost) no bilingual data
ACL
Mikel Artetxe |
Gorka Labaka |
Eneko Agirre |
Learning principled bilingual mappings of word embeddings while preserving monolingual invariance
EMNLP
Mikel Artetxe |
Gorka Labaka |
Eneko Agirre |
Adding syntactic structure to bilingual terminology for improved domain adaptation
WS
Mikel Artetxe |
Gorka Labaka |
Chakaveh Saedi |
João Rodrigues |
João Silva |
António Branco |
Eneko Agirre |
Analyzing English-Spanish Named-Entity enhanced Machine Translation
SSST
WS
Mikel Artetxe |
Eneko Agirre |
Inaki Alegria |
Gorka Labaka |
Building hybrid machine translation systems by using an EBMT preprocessor to create partial translations
EAMT
WS
Mikel Artetxe |
Gorka Labaka |
Kepa Sarasola |
Building hybrid machine translation systems by using an EBMT preprocessor to create partialtranslations
EAMT
Mikel Artetxe |
Gorka Labaka |
Kepa Sarasola |
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