Scholar
Mikel Artetxe
Google Scholar ID: N5InzP8AAAAJ
Reka AI
Citations & Impact
Citations
14,053
H-index
34
i10-index
56
Publications
20
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- Published papers such as 'Translate, then Detect: Leveraging Machine Translation for Cross-Lingual Toxicity Classification'.
Research Experience
- 2023-present: Co-founder at Reka
- 2023-present: Honorary Researcher at the University of the Basque Country
- 2020-2023: Research Scientist at FAIR (Meta AI)
- 2019: PhD Intern at DeepMind, advised by Sebastian Ruder and Dani Yogatama
- 2018: Research Intern at FAIR (Meta AI), advised by Holger Schwenk
- 2016: Software Engineering Intern at Google, advised by Heeyoung Lee
- 2015: Software Engineering Intern at Google, advised by Igor Bilogrevic
Education
- PhD from the University of the Basque Country (2016-2020), advised by Eneko Agirre and Gorka Labaka.
Background
- Research area is in Natural Language Processing and Machine Learning, focusing on multilinguality, particularly in low-resource scenarios, unsupervised machine translation, and cross-lingual representation learning. Recently, he has been working on large language models.
Miscellany
- Personal interests not mentioned
