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S. Haggenmüller

5 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • eess.IV3
  • cs.CL1
  • q-bio.GN1

identity via Semantic Scholar / OpenAlex

activity
20232026
collaborators
Showing cs.CLShow all

1 paper · 1 filter

cs.CL2024

Superhuman performance in urology board questions by an explainable large language model enabled for context integration of the European Association of Urology guidelines: the UroBot study

Martin J. Hetz, Nicolas Carl, Sarah Haggenmüller +4

Large Language Models (LLMs) are revolutionizing medical Question-Answering (medQA) through extensive use of medical literature. However, their performance is often hampered by out…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.