Association for the Advancement of Artificial Intelligence

output

20212026

most citedAdapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization

755 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

Jason Hom2 profiles3 · h 7
Akshay S. Chaudhari2 profiles2 · h 30
Asad Aali2 · h 5
Dave Van Veen2 profiles2 · h 10
John M. Pauly2 profiles2 · h 4
S. Gatidis2 · h 40
Akshay Chaudhari1
A. Pareek1 · h 12
Arash S. Tehrani1 · h 2
Cara Van Uden1 · h 3
C. Bluethgen1 · h 13
Christian Blüthgen1 · h 18

collaborating institutions

Artificial Intelligence in Medicine (Canada)CA3 papers
Stanford UniversityUS3 papers
Hospital Israelita Albert EinsteinBR2 papers
Hospital São PauloBR2 papers
The University of Texas at AustinUS2 papers
University Hospital ZurichCH2 papers
Amazon (United States)US1 paper
Cardiovascular Institute of the SouthUS1 paper
Center for Interdisciplinary StudiesIN1 paper
Center for Scalable Data Analytics and Artificial IntelligenceDE1 paper
Copenhagen University HospitalDK1 paper
Leipzig UniversityDE1 paper

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,…