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Roos M. Bakker

Roos M. Bakker has 2 papers in our library, in 2026, most of them on Language models & pretraining, Evaluation & benchmarks, Legal AI; often with Dong Nguyen, Maaike de Boer.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 4 · 17 works · 39 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 10 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #11252

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

🔬Netherlands Organisation for Applied Scientific ResearchDelft · Netherlands2021–2026 · 12 paperscurrent🎓Leiden UniversityLeiden · Netherlands2023–2026 · 6 paperscurrent🎓Utrecht UniversityUtrecht · Netherlands2010–2024 · 1 paperEducation 2010–2015 · Bachelor of Arts, GeesteswetenschappenEducation 2015–2018 · Master of Science, Science
🏛️TNO Locatie Den HaagDen Haag · Netherlands2019Employment since 2019 · data scientist, Data Science

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksSocial Sciences · 2 worksPolitical Science and International Relations · 1 workSafety Research · 1 work

🧭 Topics 4Research subjects and languages the work is about.Legal AI · 1 workBias, fairness & safety · 1 workEvaluation & benchmarks · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. CrowS-Pairs-NL: A Benchmark to Evaluate Dutch Stereotype Bias in LLMs (2026 · 1 citation)
    Most stereotype-bias benchmarks for LLMs are English-centric and often reflect American culture, so biases tied to other languages and societies go unmeasured.
  2. QuALA-NL: Question & Answer with Legal Attribution in Dutch (2026 · 1 citation)
    Legal applications of LLMs need answers that can be traced to their sources, and testing such systems requires datasets tied to a specific jurisdiction and language.

All works

4 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. Semantic role extraction in law texts: a comparative analysis of language models for legal information extraction ↗Artificial Intelligence and Law (Springer) · no summary yetRoos M. Bakker et al.2025 · 9 citations
  2. Semantic Role Labelling for Dutch Law Texts ↗Proceedings of the Thirteenth Language Resources and Evaluation Conference · no summary yetRoos Bakker et al.2022 · 6 citations
  3. CrowS-Pairs-NL: A Benchmark to Evaluate Dutch Stereotype Bias in LLMsWorkshop on Stereotypes Across Cultures in Language TechnologiesJens van der Weide, Dong Nguyen, Marianne Schaaphok, et al.2026 · 1 citation
  4. QuALA-NL: Question & Answer with Legal Attribution in DutchLanguage Resources and Evaluation Conference (LREC)Romy A.N. van Drie, Roos M. Bakker, Daan L. Di Scala, et al.2026 · 1 citation

 Co-authors here

2 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 10 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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