Raúl Vázquez
Raúl Vázquez has 2 papers in our library, in 2025–2026, most of them on Machine translation, Language models & pretraining, Low-resource languages; often with Aman Sinha, Jörg Tiedemann, Joseph Attieh.
OpenAlex · h-index 7 · 24 works · 237 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 50 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #9473
Affiliations
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 3Research subjects and languages the work is about.Low-resource languages · 1 workMachine translation · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- Scaling Low-Resource MT via Synthetic Data Generation with LLMs (2025 · 15 citations)
Most of the world's languages lack enough human-translated parallel text to train strong machine translation systems. - Language Models Learn Universal Representations of Numbers and Here's Why You Should Care (2026)
The paper asks how consistently large language models encode numbers. Earlier studies found sine-like number embeddings but did not measure how closely they match across models, and they did not use natural-language contexts. The authors examine eight open checkpoints from the OLMo 2, Llama 3 and Phi 4 families. They…
All works
- The MeMAD Submission to the WMT18 Multimodal Translation Task ↗Proceedings of the Third Conference on Machine Translation: Shared Task Papers · no summary yetStig-Arne Grönroos et al.2018 · 93 citations
- Scaling Low-Resource MT via Synthetic Data Generation with LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Ona de Gibert, Joseph Attieh, Teemu Vahtola, et al.2025 · 15 citations
- An Evaluation of Language-Agnostic Inner-Attention-Based Representations in Machine Translation ↗Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019) · no summary yetAlessandro Raganato et al.2019 · 14 citations
- Language Models Learn Universal Representations of Numbers and Here's Why You Should CareAnnual Meeting of the Association for Computational Linguistics (ACL)Michal Štefánik, Timothee Mickus, Marek Kadlčík, et al.2026
Co-authors here
- Aman Sinha
- Jörg Tiedemann
- Joseph Attieh
- Mikko Aulamo
- Ona de Gibert
- Philipp Mondorf
- Pontus Stenetorp
- Tiancheng Hu
- Timothee Mickus
- Zihao Li
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025
- Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)
- Proceedings of the Third Conference on Machine Translation: Shared Task Papers
Cited by
Updated
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