🧑‍🔬 Laura Bernardy

🏛️ Affiliations

🎓University of LuxembourgLuxembourg · Luxembourg2025–2026 · 11 paperscurrent🎓Interdisciplinary Centre for Security, Reliability and TrustBelval · Luxembourg2025 · 2 papers

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. 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.
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 They obtained unpublished exams from the Institut National…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. Do LLMs Judge Distantly Supervised Named Entity Labels Well? Constructing the JudgeWEL Dataset (2026 · 1 citation)
   Luxembourgish, with roughly 400,000 speakers, has very few labelled NLP datasets. Its only prior NER set, RTL-NER (Lothritz et al., 2022), contains about 5,500 manually tagged news sentences. The authors propose a largely automatic method for building a bigger one. Their pipeline treats hyperlinks in Luxembourgish…
4. 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…
5. 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.

🤝 Co-authors here

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

• Fred Philippy ×3
• Alistair Plum ×2
• Cedric Lothritz ×2
• Jacques Klein ×2
• Tegawende Bissyande ×2
• Tharindu Ranasinghe ×2
• Anne-Marie Lutgen
• Barbara Plank
• 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.

• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026, Findings of the Association for Computational Linguistics 2025
• Language Resources and Evaluation Conference (LREC): LREC 2026

🔗 Cited by

Papers of our library cite their works 7 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated 1 November 2026

This page in Markdown → https://md.research.elamur.ai/free/en/authors/laura-bernardy/