🧑‍🔬 Cedric Lothritz

🏛️ Affiliations

🔬Luxembourg Institute of Science and TechnologyBelvaux · Luxembourg2024–2026 · 13 papersEmployment since 2024 · R&T Scientist, ITISEmployment 2024 · Junior R&T Associate, ITIScurrent🎓University of LuxembourgLuxembourg · Luxembourg2019–2024 · 11 papersEducation 2019–2023 · Docteur en Informatique, SnT - Interdisciplinary Centre for Security, Reliability, and TrustEmployment 2019–2023 · Doctoral Researcher, SnTEmployment 2023–2024 · Postdoctoral Researcher, SnT🎓University of FribourgFribourg · Switzerland2011–2017Education 2011–2014 · Bachelor of Science in Computer ScienceEducation 2014–2017 · Master of Science in Computer ScienceEmployment 2014–2017 · Teaching Assistant

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Fields, topics and concepts

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

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Are Small Language Models the Silver Bullet to Low-Resource Languages Machine Translation? (2026 · 3 citations)
   The paper examines whether compact language models can translate low-resource languages (LRLs) reliably. Such models are attractive where cost, latency, privacy or offline use matter, but they often hallucinate on underrepresented languages. The authors first benchmark several small decoder-only models (Llama-3.x…
2. Testing Low-Resource Language Support in LLMs Using Language Proficiency Exams: the Case of Luxembourgish (2025 · 3 citations)
   Evaluation resources for Luxembourgish, a language with about 600,000 speakers, are scarce. Most LLMs are built mainly for English, so it is unclear how well they handle it. The authors ask whether official language proficiency exams can serve as a benchmark. They obtained unpublished exams from the Institut National…
3. ltzGLUE: Luxembourgish General Language Understanding Evaluation (2026)
   Luxembourgish (LTZ) has roughly 400k speakers and few NLU resources. Most existing tasks come from news text and often contain under a thousand instances, so model comparisons for the language are unreliable. The authors address this with ltzGLUE, a GLUE-style benchmark of eight sentence- and token-level…

All works

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

1. LuxemBERT: Simple and Practical Data Augmentation in Language Model Pre-Training for Luxembourgish ↗Proceedings of the Thirteenth Language Resources and Evaluation Conference · no summary yetCedric Lothritz et al.2022 · 27 citations
2. Comparing Pre-Training Schemes for Luxembourgish BERT Models ↗Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023) · no summary yetCedric Lothritz et al.2023 · 4 citations
3. Are Small Language Models the Silver Bullet to Low-Resource Languages Machine Translation?Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT)Yewei Song, Lujun Li, Cedric Lothritz, et al.2026 · 3 citations
4. Testing Low-Resource Language Support in LLMs Using Language Proficiency Exams: the Case of LuxembourgishFindings of the Association for Computational LinguisticsCedric Lothritz, Jordi Cabot, Laura Bernardy2025 · 3 citations
5. Evaluating Data Augmentation Techniques for the Training of Luxembourgish Language Models ↗Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023) · no summary yetIsabella Olariu et al.2023 · 2 citations
6. Do Large Language Models Grasp the Grammar? Evidence from Grammar-Book-Guided Probing in Luxembourgish ↗Proceedings of the Fifteenth Language Resources and Evaluation Conference · no summary yetLujun LI et al.2026 · 1 citation
7. LuxIT: A Luxembourgish Instruction Tuning Dataset from Monolingual Seed Data ↗arXiv:2510.24434 · no summary yetJulian Valline et al.2025 · 1 citation
8. ltzGLUE: Luxembourgish General Language Understanding EvaluationFindings of the Association for Computational LinguisticsAlistair Plum, Felicia Körner, Anne-Marie Lutgen, et al.2026

🤝 Co-authors here

12 of 15 co-authors with a page, the most papers together first.

• Laura Bernardy ×2
• Alistair Plum
• Anne-Marie Lutgen
• Barbara Plank
• Christoph Purschke
• Felicia Körner
• Fred Philippy
• Jacques Klein
• Lujun Li
• Nils Rehlinger
• Radu State
• Saad Ezzini

Venues

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

• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026, Findings of the Association for Computational Linguistics 2025
• Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023) ×2
• Proceedings of the Fifteenth Language Resources and Evaluation Conference ×2
• Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT): LoResMT 2026

🔗 Cited by

Papers of our library cite their works 37 times (of the 149,439 papers whose bibliographies we read); 14 citing papers with a page here →.

Updated 1 November 2026

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