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Luisa Carrer

Luisa Carrer has 2 papers in our library, in 2025–2026, most of them on Evaluation & benchmarks, Machine translation; often with Sarah Ebling, Andreas Säuberli, Yingqiang Gao.

2 papers in our library · 2025–2026

OpenAlex · h-index 3 · 19 works · 22 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: #10723

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

🎓ZHAW Zurich University of Applied SciencesWinterthur · Switzerland2026 · 1 papercurrent

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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksHuman Factors and Ergonomics · 1 workSocial Sciences · 1 work

🧭 Topics 2Research subjects and languages the work is about.Evaluation & benchmarks · 2 worksMachine translation · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Evaluating the Effectiveness of Direct Preference Optimization for Personalizing German Automatic Text Simplifications for Persons with Intellectual Disabilities (2025 · 4 citations)
    German automatic text simplification (ATS) models are usually trained on data curated by experts. The people they are meant to serve, persons with intellectual disabilities, rarely influence how these systems are built. This paper tests whether direct preference optimization (DPO) can steer LLM-based ATS systems…
  2. Evaluating LLM-based Text Simplification for German: Effects on Post-Editing Effort, Quality Ratings, and User Comprehension (2026)
    The paper asks whether current LLM-based simplifiers for German are useful in realistic document-level Easy Language production.

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. Towards Holistic Human Evaluation of Automatic Text Simplification ↗Proceedings of the Fourth Workshop on Human Evaluation of NLP Systems (HumEval) @ LREC-COLING 2024 · no summary yetLuisa Carrer et al.2024 · 6 citations
  2. Evaluating the Effectiveness of Direct Preference Optimization for Personalizing German Automatic Text Simplifications for Persons with Intellectual DisabilitiesarXiv:2507.01479Yingqiang Gao, Kaede Johnson, David Froehlich, et al.2025 · 4 citations
  3. Evaluating LLM-based Text Simplification for German: Effects on Post-Editing Effort, Quality Ratings, and User ComprehensionLanguage Resources and Evaluation Conference (LREC)Luisa Carrer, Andreas Säuberli, Martin Kappus, et al.2026
  4. Evaluating Direct Preference Optimization for Personalizing German Automatic Text Simplifications for Persons with Intellectual Disabilities ↗Proceedings of the Sixth Workshop on Language Technology for Equality, Diversity, Inclusion · no summary yetYingqiang Gao 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 10 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

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