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Laissez-Faire Harms: Algorithmic Biases in Generative Language Models

Laissez-Faire Harms: Algorithmic Biases in Generative Language Models

11 April 2024
Evan Shieh
Faye-Marie Vassel
Cassidy R. Sugimoto
T. Monroe-White
ArXivPDFHTML

Papers citing "Laissez-Faire Harms: Algorithmic Biases in Generative Language Models"

5 / 5 papers shown
Title
GenAI Advertising: Risks of Personalizing Ads with LLMs
GenAI Advertising: Risks of Personalizing Ads with LLMs
Brian Tang
Kaiwen Sun
Noah T. Curran
F. Schaub
Kang G. Shin
SILM
18
2
0
23 Sep 2024
Shortcomings of LLMs for Low-Resource Translation: Retrieval and
  Understanding are Both the Problem
Shortcomings of LLMs for Low-Resource Translation: Retrieval and Understanding are Both the Problem
Sara Court
Micha Elsner
19
6
0
21 Jun 2024
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors,
  and Lessons Learned
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
Deep Ganguli
Liane Lovitt
John Kernion
Amanda Askell
Yuntao Bai
...
Nicholas Joseph
Sam McCandlish
C. Olah
Jared Kaplan
Jack Clark
216
441
0
23 Aug 2022
The Woman Worked as a Babysitter: On Biases in Language Generation
The Woman Worked as a Babysitter: On Biases in Language Generation
Emily Sheng
Kai-Wei Chang
Premkumar Natarajan
Nanyun Peng
204
607
0
03 Sep 2019
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
29,632
0
16 Jan 2013
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