On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?

2021 inproceedings bender2021 ○ Not yet verified

Authors

Emily M Bender, Timnit Gebru, Angelina McMillan-Major, Shmargaret Shmitchell

Venue

Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

BibTeX

Local Entry

@inproceedings{bender2021,
  title = {On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?},
  author = {Emily M Bender and Timnit Gebru and Angelina McMillan-Major and Shmargaret Shmitchell},
  year = {2021},
  booktitle = {Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency},
  pages = {610--623}
}

From AUTO:DBLP

@inproceedings{bender2021,
  author       = {Emily M. Bender and
                  Timnit Gebru and
                  Angelina McMillan{-}Major and
                  Shmargaret Shmitchell},
  editor       = {Madeleine Clare Elish and
                  William Isaac and
                  Richard S. Zemel},
  title        = {On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?},
  booktitle    = {FAccT '21: 2021 {ACM} Conference on Fairness, Accountability, and
                  Transparency, Virtual Event / Toronto, Canada, March 3-10, 2021},
  pages        = {610--623},
  publisher    = {{ACM}},
  year         = {2021},
  url          = {https://doi.org/10.1145/3442188.3445922},
  doi          = {10.1145/3442188.3445922},
  timestamp    = {Fri, 05 May 2023 15:54:55 +0200},
  biburl       = {https://dblp.org/rec/conf/fat/BenderGMS21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}