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Hugging Face

United States

22 papers here1.6k citations across 22
fields
  • cs.LG7
  • cs.CL6
  • cs.CY4
  • cs.AI3
  • cs.CV1
  • stat.ML1
ROR 02grspc61OpenAlex

affiliations via OpenAlex

output
20202026
most citedMultitask Prompted Training Enables Zero-Shot Task Generalization

563 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.

  • Clément Romac4 · h 5
  • P. Oudeyer3 · h 56
  • Thomas Carta3 · h 5
  • Yacine Jernite2 profiles3 · h 28
  • Avijit Ghosh2 profiles2 · h 6
  • Carole-Jean Wu2 profiles2 · h 7
  • Cédric Colas2 · h 20
  • Emma Strubell2 · h 29
  • Margaret Mitchell2 profiles2 · h 39
  • Olivier Sigaud2 · h 17
  • Samson Tan2 · h 16
  • Sasha Luccioni2 · h 12
collaborating institutions
  • FACE FoundationUS8 papers
  • Stanford UniversityUS5 papers
  • Cornell UniversityUS4 papers
  • Massachusetts Institute of TechnologyUS4 papers
  • Allen Institute for Artificial IntelligenceUS3 papers
  • Carnegie Mellon UniversityUS3 papers
  • Google (United States)US3 papers
  • King Fahd University of Petroleum and MineralsSA3 papers
  • Sorbonne UniversitéFR3 papers
  • Allen InstituteUS2 papers
  • Booz Allen Hamilton (United States)US2 papers
  • École PolytechniqueFR2 papers
Showing 2020 · cs.CLShow all

1 paper · 2 filters

cs.CL2020★ 51 cited

Learning from others' mistakes: Avoiding dataset biases without modeling them

Victor Sanh, Thomas Wolf, Yonatan Belinkov +1

State-of-the-art natural language processing (NLP) models often learn to model dataset biases and surface form correlations instead of features that target the intended underlying…

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