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Andreas Säuberli

Andreas Säuberli has 3 papers in our library, in 2026, most of them on Text generation, Machine translation, Evaluation & benchmarks; often with Barbara Plank, Diego Frassinelli, Luisa Carrer.

3 papers in our library · 2026

OpenAlex · ORCID · h-index 6 · 34 works · 109 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 102 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #10822

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

🎓Ludwig-Maximilians-Universität MünchenMunich · Germany2025–2026 · 9 paperscurrent🎓Munich Center for Machine LearningMunich · Germany2025–2026 · 5 paperscurrent🎓University of ZurichZurich · Switzerland2021–2024 · 7 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.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksHuman-Computer Interaction · 1 work

🧭 Topics 4Research subjects and languages the work is about.Text generation · 2 worksPsycholinguistics & language acquisition · 1 workEvaluation & benchmarks · 1 workMachine translation · 1 work

 Works by year

2020s

20263 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Controlling Reading Ease with Gaze-Guided Text Generation (2026 · 3 citations)
    LLM prompting can adjust text readability, but the outputs often miss the target difficulty and give little control over how generation works.
  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.
  3. Exploring Cognitively Informed Sentence Simplification with Gaze-Guided Text Generation (2026)
    Text simplification systems usually learn what counts as "easy" from human judgments or crowdsourced reference simplifications.

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. A New Dataset and Efficient Baselines for Document-level Text Simplification in German ↗Proceedings of the Third Workshop on New Frontiers in Summarization · no summary yetAnnette Rios et al.2021 · 47 citations
  2. Benchmarking Data-driven Automatic Text Simplification for German ↗Proceedings of the 1st Workshop on Tools and Resources to Empower People with REAding DIfficulties (READI) · no summary yetAndreas Säuberli, Sarah Ebling, Martin Volk2020 · 43 citations
  3. A Corpus for Automatic Readability Assessment and Text Simplification of German ↗Proceedings of the Twelfth Language Resources and Evaluation Conference · no summary yetAlessia Battisti et al.2020 · 31 citations
  4. Digital Comprehensibility Assessment of Simplified Texts among Persons with Intellectual Disabilities ↗arXiv:2402.13094 · no summary yetAndreas Sauberli et al.2024 · 14 citations
  5. 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
  6. Controlling Reading Ease with Gaze-Guided Text GenerationConference of the European Chapter of the Association for Computational Linguistics (EACL)Andreas Säuberli, Darja Jepifanova, Diego Frassinelli, et al.2026 · 3 citations
  7. 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
  8. Exploring Cognitively Informed Sentence Simplification with Gaze-Guided Text Generationfo the International Workshop on Eye-Tracking Resources and Evaluation for Human-Aligned NLPAndreas Säuberli, Diego Frassinelli, Barbara Plank2026

 Co-authors here

4 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 102 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

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