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Max Planck Institute for Security and Privacy

Germany

56 papers here619 citations across 56
fields
  • cs.CR21
  • cs.CY8
  • cs.HC7
  • cs.SE6
  • cs.LG4
  • cs.PL4
  • quant-ph2
  • cs.CL1
ROR 00bj0r217OpenAlex

affiliations via OpenAlex

output
20202026
most citedFactuality Challenges in the Era of Large Language Models

163 citations

researchers with a paper here
  • Steffen Becker3 profiles11 · h 9
  • Christof Paar2 profiles7 · h 4
  • C. Paar5 · h 72
  • Asia J. Biega2 profiles4 · h 15
  • N. Rummel4 · h 42
  • René Walendy4 · h 2
  • Alessandro Fabris2 profiles3 · h 9
  • Carina Wiesen3 · h 6
  • Franziska Herbert3 · h 7
  • Leonie Schaewitz3 · h 7
  • Maik Ender3 · h 7
  • Markus Durmuth3 · h 6
collaborating institutions
  • Ruhr University BochumDE23 papers
  • Helmholtz Center for Information SecurityDE7 papers
  • Leibniz University HannoverDE5 papers
  • TU Dortmund UniversityDE4 papers
  • University of OxfordGB4 papers
  • University of PaduaIT4 papers
  • University of WashingtonUS4 papers
  • Arizona State UniversityUS3 papers
  • ETH ZurichCH3 papers
  • Indiana University BloomingtonUS3 papers
  • Institut national de recherche en sciences et technologies du numériqueFR3 papers
  • Microsoft (United States)US3 papers
Showing 2024 · cs.LGShow all

1 paper · 2 filters

cs.LG2024★ 11 cited

Lazy Data Practices Harm Fairness Research

Jan Simson, Alessandro Fabris, Christoph Kern

Data practices shape research and practice on fairness in machine learning (fair ML). Critical data studies offer important reflections and critiques for the responsible advancemen…

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