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Artificial Intelligence in Medicine (Canada)

Canada

38 papers here84 citations across 38
fields
  • cs.CV10
  • cs.CL7
  • cs.LG3
  • cs.CY2
  • cs.RO2
  • astro-ph.HE1
  • cond-mat.soft1
  • cs.AI1
ROR 05p590m36OpenAlex

affiliations via OpenAlex

most citedPredictive and adaptive maps for long-term visual navigation in changing environments

26 citations

researchers with a paper here
  • S. Khan5 · h 6
  • Himanshu Gupta3 profiles3 · h 10
  • Micah Carroll2 profiles3 · h 15
  • Michael Kirchhof2 profiles3 · h 10
  • Orion Weller2 profiles3 · h 22
  • Sami Azam3 profiles3 · h 14
  • Zheng-Xin Yong3 profiles3 · h 18
  • Abdallah Galal2 profiles2 · h 1
  • Akshay S. Chaudhari2 profiles2 · h 8
  • Alon Amit2 profiles2 · h 8
  • Andrew Johnston2 profiles2 · h 6
  • Ankit Singh2 profiles2 · h 3
collaborating institutions
  • Monash UniversityAU3 papers
  • Technical University of MunichDE3 papers
  • Chang Gung Memorial HospitalTW2 papers
  • Charles Darwin UniversityAU2 papers
  • Chung-Ang UniversityKR2 papers
  • Czech Technical University in PragueCZ2 papers
  • German Research Centre for Artificial IntelligenceDE2 papers
  • Google (United States)US2 papers
  • Heidelberg UniversityDE2 papers
  • Johns Hopkins UniversityUS2 papers
  • Massachusetts Institute of TechnologyUS2 papers
  • Northwestern UniversityUS2 papers
Showing cs.DLShow all

1 paper · 1 filter

cs.DL2026

The em-dash em-beds in Congress: A population-level rise in em-dash frequency in U.S. congressional press releases at the dawn of the large-language-model era, 2021-2025

Przemysław Czuma

Large language models (LLMs) can leave small stylistic traces in text written with their help. The most discussed is the em-dash (U+2014), especially the unspaced form word---word,…

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