🧑‍🔬 Fred Philippy

🏛️ Affiliations

🎓University of LuxembourgLuxembourg · Luxembourg2023–2026 · 19 papersEducation since 2023 · PhD, Interdisciplinary Centre for Security, Reliability and TrustEmployment 2023–2026 · PhD Student, Interdisciplinary Centre for Security, Reliability and Trust (SnT)Employment since 2026 · Postdoctoral Researcher, PhD Student (Interdisciplinary Centre for Security, Reliability and Trust (SnT)current🎓Interdisciplinary Centre for Security, Reliability and TrustBelval · Luxembourg2023–2026 · 10 paperscurrent🤝Luxembourg Institute of HealthStrassen · Luxembourg2021–2024 · 3 papersEmployment 2021 · Biostatistics Intern, Competence Center for Methodology and Statistics

🏛️Zortify S.A.Luxembourg · Luxembourg2021–2025Employment 2021–2023 · Data Scientist, Zortify LabsEmployment 2023–2025 · PhD Student / Data Scientist, Zortify Labs

🎓Université de StrasbourgStrasbourg · France2016–2019Education 2016–2019 · Double Major Bachelor's degree in Mathematics & EconomicsEducation since 2019 · Master's degree in Applied Mathematics, Statistics, UFR de mathématique et d'informatique

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. LuxEmbedder: A Cross-Lingual Approach to Enhanced Luxembourgish Sentence Embeddings (2025 · 8 citations)
   The paper addresses weak sentence embeddings for Luxembourgish, a West-Germanic language with roughly 400,000 speakers.
2. LuxInstruct: A Cross-Lingual Instruction Tuning Dataset For Luxembourgish (2025 · 3 citations)
   Luxembourgish has about 400,000 speakers and very few resources for instruction tuning. Translating English instruction sets into it is a weak option, because machine translation into the language is poor and tends to produce unnatural or culturally off targets.
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…
4. LëtzCross: A Cross-Lingual Page-Level Benchmark for Multimodal Retrieval over Luxembourgish Documents (2026)
   Page-image retrievers in the ColPali family handle visually rich PDFs well, but it was unclear how they behave when queries and documents are in different languages and one of those languages is low-resource.
5. When English Isn't the Best Teacher: Source Language Effects in Cross-Lingual In-Context Learning (2026)
   The paper asks whether the rules for choosing a source language in fine-tuning-based cross-lingual transfer also apply to few-shot In-Context Learning (ICL).
6. Why Low-Resource NLP Needs More Than Cross-Lingual Transfer: Lessons Learned from Luxembourgish (2026)
   This position-style paper asks whether cross-lingual transfer from high-resource languages can replace dedicated work on a low-resource language.

All works

8 works of theirs in our library, the most cited first; 6 with a page here, the others link their original until we summarise them.

1. LuxEmbedder: A Cross-Lingual Approach to Enhanced Luxembourgish Sentence EmbeddingsInternational Conference on Computational Linguistics (COLING)Fred Philippy, Siwen Guo, Jacques Klein, et al.2025 · 8 citations
2. LuxInstruct: A Cross-Lingual Instruction Tuning Dataset For LuxembourgisharXiv:2510.07074Fred Philippy, Laura Bernardy, Siwen Guo, et al.2025 · 3 citations
3. LuxBorrow: From Pompier to Pompjee, Tracing Borrowing in Luxembourgish ↗Proceedings of the Fifteenth Language Resources and Evaluation Conference · no summary yetNina Hosseini-Kivanani, Fred Philippy2026 · 1 citation
4. ltzGLUE: Luxembourgish General Language Understanding EvaluationFindings of the Association for Computational LinguisticsAlistair Plum, Felicia Körner, Anne-Marie Lutgen, et al.2026
5. LëtzCross: A Cross-Lingual Page-Level Benchmark for Multimodal Retrieval over Luxembourgish DocumentsarXiv:2608.21714Omar El Bachyr, Fred Philippy, Laura Maria Bernardy, et al.2026
6. When English Isn't the Best Teacher: Source Language Effects in Cross-Lingual In-Context LearningWorkshop on Multilinguality in the Era of Large Language ModelsFred Philippy, Siwen Guo, Jacques Klein, et al.2026
7. Why Low-Resource NLP Needs More Than Cross-Lingual Transfer: Lessons Learned from LuxembourgishBig Picture v2: Crafting a Research NarrativeFred Philippy, Siwen Guo, Jacques Klein, et al.2026
8. Last Translation Benchmark ↗arXiv:2609.04173 · no summary yetVilem Zouhar et al.2026

🤝 Co-authors here

12 of 13 co-authors with a page, the most papers together first.

• Jacques Klein ×5
• Tegawende Bissyande ×5
• Siwen Guo ×4
• Laura Bernardy ×3
• Alistair Plum
• Anne-Marie Lutgen
• Barbara Plank
• Cedric Lothritz
• Christoph Purschke
• Felicia Körner
• Nils Rehlinger
• Saad Ezzini

Venues

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

• Language Resources and Evaluation Conference (LREC) ×2
• Big Picture v2: Crafting a Research Narrative: Big Picture v2: Crafting a Research Narrative 2026
• International Conference on Computational Linguistics (COLING): COLING 2025
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• Workshop on Multilinguality in the Era of Large Language Models: Workshop on Multilinguality in the Era of Large Language Models 2026

🔗 Cited by

Papers of our library cite their works 20 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated 1 November 2026

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