Elamur Research⌕
☰
home / authors / Sebastian Nagl

Sebastian Nagl

Sebastian Nagl has 3 papers in our library, in 2025–2026, most of them on Legal AI, Summarization, Reasoning; often with Matthias Grabmair.

3 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 0 · 4 works · 0 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 1 time in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #11400

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

🎓Technical University of MunichMunich · Germany2026 · 4 papersEmploymentcurrent

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 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksPolitical Science and International Relations · 3 worksSocial Sciences · 3 worksLaw · 1 work

🧭 Topics 3Research subjects and languages the work is about.Legal AI · 3 worksReasoning · 1 workSummarization · 1 work

 Works by year

2020s

20262 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. BenGER Platform: A Collaborative Web Platform for End-to-End Benchmarking of German Legal Tasks (2026 · 1 citation)
    Benchmarking LLMs on legal reasoning usually involves several disconnected tools. Experts supply material, engineers turn it into benchmark items, annotations are collected in a separate tool, models are run through one-off scripts, and evaluation code is rewritten for each study. This fragmentation hides decisions…
  2. BenGER: Benchmarking LLM Systems on Subsumption-Based Legal Reasoning in German Law (2026)
    German legal analysis follows a fixed reasoning pattern called subsumption: state the norm to test, define its elements, map the facts onto each element, then draw the legal consequence.
  3. CourtPressGER: A German Court Decision to Press Release Summarization Dataset (2025)
    German federal courts publish press releases that explain rulings to journalists and ordinary citizens. Earlier legal NLP work on German focused on technical headnotes for lawyers. This paper presents CourtPressGER, a corpus of about 6.4k triples. Each triple holds a ruling, the press release a human wrote for it…

All works

4 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. BenGER Platform: A Collaborative Web Platform for End-to-End Benchmarking of German Legal TasksarXiv:2604.13583Sebastian Nagl, Matthias Grabmair2026 · 1 citation
  2. BenGER: Benchmarking LLM Systems on Subsumption-Based Legal Reasoning in German LawarXiv:2605.28183Sebastian Nagl, Ann-Kristin Mayrhofer, Martin Heidebach, et al.2026
  3. Exploiting LLM-as-a-Judge Disposition on Free Text Legal QA via Prompt Optimization ↗arXiv:2604.20726 · no summary yetMohamed Hesham Elganayni et al.2026
  4. CourtPressGER: A German Court Decision to Press Release Summarization DatasetarXiv:2512.09434Sebastian Nagl, Mohamed Elganayni, Melanie Pospisil, et al.2025

 Co-authors here

1 co-author with a page, the most papers together first.

 Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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