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Daniel Steinigen

Daniel Steinigen has 2 papers in our library, in 2026, most of them on Language models & pretraining, Evaluation & benchmarks, Knowledge graphs & ontologies; often with Lucie Flek, Nicolas Flores-Herr, Roman Teucher.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 2 · 9 works · 10 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #10691

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

🔬Fraunhofer Institute for Intelligent Analysis and Information SystemsSankt Augustin · Germany2024–2026 · 4 paperscurrent

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).Computer Science · 2 worksArtificial Intelligence · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 2 worksKnowledge graphs & ontologies · 1 workEvaluation & benchmarks · 1 workVision & language · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Fact Finder - Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs (2026 · 4 citations)
    LLMs often lack specialised domain knowledge and may hallucinate or give incomplete answers. This is a serious problem in life sciences tasks such as drug target identification. The authors present FactFinder, a question-answering system that grounds LLM output in a medical knowledge graph. It uses PrimeKG, stored in…
  2. STRUDEL: Unrolling a Benchmark for Evaluating Vision-Language Models on Structured Diagram Understanding across Domains (2026)
    Vision-language models (VLMs) are rarely tested on structured diagrams, where meaning depends on symbols and the exact relations between them.

 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 1 time (of the 149,439 papers whose bibliographies we read).

Updated

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