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Luis Frentzen Salim

Luis Frentzen Salim has 2 papers in our library, in 2026, most of them on Machine translation, Low-resource languages, Efficient models & compression; often with Lun-Wei Ku, Esteban Carlin, Yung-Hui Li.

2 papers in our library · 2026

OpenAlex · h-index 0 · 15 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 5 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #11205

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

🎓National Taiwan University of Science and TechnologyTaipei · Taiwan2026 · 13 paperscurrent🔬Institute of Information Science, Academia SinicaTaipei · Taiwan2026 · 7 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 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Low-resource languages · 1 workMachine translation · 1 workEfficient models & compression · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Beyond Many-Shot Translation: Scaling In-Context Demonstrations For Low-Resource Machine Translation (2026 · 2 citations)
    The paper asks whether long-context LLMs can be adapted to low-resource machine translation through in-context learning alone, with no fine-tuning, if the prompt holds thousands of demonstrations rather than a few.
  2. Expert Calibration Lens for Pruning Mixture of Experts (2026)
    Expert pruning makes Mixture-of-Experts (MoE) models cheaper to deploy, but its results depend heavily on the calibration set.

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. Beyond Many-Shot Translation: Scaling In-Context Demonstrations For Low-Resource Machine TranslationWorkshop on Language Models for Low-Resource LanguagesLuis Frentzen Salim, Esteban Carlin, Alexandre Morinvil, et al.2026 · 2 citations
  2. Expert Calibration Lens for Pruning Mixture of ExpertsAnnual Meeting of the Association for Computational Linguistics (ACL)Luis Frentzen Salim, Chia-Chun Wu, Tran Van Nhiem, et al.2026
  3. Last Translation Benchmark ↗arXiv:2609.04173 · no summary yetVilem Zouhar et al.2026

 Co-authors here

3 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 5 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/luis-frentzen-salim/