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Miguel Moura Ramos

Miguel Moura Ramos has 2 papers in our library, in 2026, most of them on Machine translation, Language models & pretraining; often with Afonso Simplício, André F. T. Martins, Diogo Tavares.

2 papers in our library · 2026

OpenAlex · h-index 1 · 9 works · 1 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 9 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #10167

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🔬Instituto de TelecomunicaçõesLisbon · Portugal2023–2026 · 7 paperscurrent🎓Instituto Superior TécnicoLisbon · Portugal2026 · 6 paperscurrent🎓University of LisbonLisbon · Portugal2026 · 5 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Machine translation · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Fine-Grained Reward Optimization for Machine Translation using Error Severity Mappings (2026 · 7 citations)
    Most RL training for neural MT scores a translation with one number per sentence. This sparse signal does not say where errors occur, so learning is slow and unstable, especially for long inputs. The authors instead derive a reward for each token from XCOMET, a quality estimation model that marks error spans and…
  2. AMALIA: A Fully Open Large Language Model for European Portuguese (2026 · 1 citation)
    Open LLMs are trained mostly on English, and European Portuguese (pt-PT) gets little attention. Its evaluation also tends to use machine-translated benchmarks that miss the variety's linguistic and cultural traits, and models often drift toward Brazilian Portuguese (pt-BR). AMALIA addresses this as a fully open model…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Fine-Grained Reward Optimization for Machine Translation using Error Severity MappingsTransactions of the Association for Computational Linguistics (TACL)Miguel Moura Ramos, Tomás Almeida, Daniel Vareta, et al.2026 · 7 citations
  2. AMALIA: A Fully Open Large Language Model for European PortugueseInternational Conference on Computational Processing of PortugueseAfonso Simplício, Gonçalo Vinagre, Miguel Moura Ramos, et al.2026 · 1 citation
  3. Movie Facts and Fibs (MF²): A Benchmark for Long Movie Understanding ↗arXiv (Cornell University) · no summary yetEmmanouil Zaranis et al.2025 · 1 citation

 Co-authors here

12 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 9 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/miguel-moura-ramos/