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Felix Alexander Gers

Felix Alexander Gers has 2 papers in our library, in 2019–2026, most of them on Reasoning; often with Alexander Löser, Alexei Figueroa, Keno K. Bressem.

2 papers in our library · 2019–2026

OpenAlex · ORCID · h-index 20 · 64 works · 10,816 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 63 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6508

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

🎓Berliner Hochschule für TechnikBerlin · Germany2017–2026 · 26 papersEmployment · Professor, FB VIcurrent🎓Humboldt-Universität zu BerlinBerlin · Germany2026 · 1 papercurrent🔬Dalle Molle Institute for Artificial Intelligence ResearchLugano · Switzerland1998–2003 · 15 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workGeneral Social Sciences · 1 workLanguage and Linguistics · 1 workSocial Sciences · 1 workComputer Vision and Pattern Recognition · 1 workHealth Informatics · 1 workMedicine · 1 work

🧭 Topics 1Research subjects and languages the work is about.Reasoning · 1 work

 Works by year

2020s

20261 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. SECTOR: A Neural Model for Coherent Topic Segmentation and Classification (2019 · 124 citations)
    Long documents often lack explicit headings, or their structure follows domain conventions. This makes it hard for reading, retrieval and QA systems to find which passage covers which topic. The authors treat splitting a text into coherent sections and labeling each section's topic as one joint problem rather than…
  2. DeepICD-R1: Medical Reasoning through Hierarchical Rewards and Unsupervised Distillation (2026)
    The paper tests whether reasoning-focused post-training, so far most successful in mathematics and programming, can carry over to clinical diagnosis without expensive domain-specific pretraining.

All works

3 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. SECTOR: A Neural Model for Coherent Topic Segmentation and ClassificationTransactions of the Association for Computational Linguistics (TACL)Sebastian Arnold, Rudolf Schneider, Philippe Cudré-Mauroux, et al.2019 · 124 citations
  2. Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration ↗Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume · no summary yetBetty van Aken et al.2021 · 87 citations
  3. DeepICD-R1: Medical Reasoning through Hierarchical Rewards and Unsupervised DistillationLanguage Resources and Evaluation Conference (LREC)Tom Röhr, Thomas Maximilian Josef Steffek, Roman Teucher, et al.2026

 Co-authors here

5 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 63 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

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