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Philipp Steigerwald

Philipp Steigerwald has 2 papers in our library, in 2026, most of them on Bias, fairness & safety; often with Eric Rudolph, Jens Albrecht.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 1 · 27 works · 3 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 3 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #11239

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

🎓Georg Simon Ohm University of Applied Sciences NurembergNuremberg · Germany2025–2026 · 17 papersEmploymentcurrent🎓University of Technology NurembergNuremberg · Germany2026 · 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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksPsychology · 1 workArtificial Intelligence · 2 worksExperimental and Cognitive Psychology · 1 workSocial Psychology · 1 workSocial Sciences · 1 workSociology and Political Science · 1 work

🧭 Topics 1Research subjects and languages the work is about.Bias, fairness & safety · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Nürnberg NLP at PsyDefDetect: Multi-Axis Voter Ensembles for Psychological Defence Mechanism Classification (2026 · 2 citations)
    The paper describes the system that won the BioNLP 2026 PsyDefDetect shared task. The task is to label each help-seeker utterance in emotional-support dialogues (PSYDEFCONV, built on ESConv and annotated with DMRS) with one of eight defence levels or "No Defence". The data is hard: classes overlap semantically, human…
  2. Nürnberg NLP @ GermEval Shared Task 2026: Harmful Content Detection in German Social Media through Error-Independent LLM Voters (2026)
    The paper describes the winning entry to the GermEval 2026 shared task, which targets harmful content in German tweets that were collected from a right-wing extremist network and stripped of identifying information.

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. Nürnberg NLP at PsyDefDetect: Multi-Axis Voter Ensembles for Psychological Defence Mechanism ClassificationBioNLPPhilipp Steigerwald, Eric Rudolph, Jens Albrecht2026 · 2 citations
  2. From "Help" to Helpful: A Hierarchical Assessment of LLMs in Mental e-Health Applications ↗arXiv:2602.18443 · no summary yetPhilipp Steigerwald, Jens Albrecht2026 · 1 citation
  3. Nürnberg NLP @ GermEval Shared Task 2026: Harmful Content Detection in German Social Media through Error-Independent LLM VotersarXiv:2608.22246Philipp Steigerwald, Eric Rudolph, Jens Albrecht2026

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

Updated

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