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NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as
  Artificial Adversaries?

NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?

8 November 2022
Saadia Gabriel
Hamid Palangi
Yejin Choi
    AAML
ArXivPDFHTML

Papers citing "NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?"

3 / 3 papers shown
Title
GO FIGURE: A Meta Evaluation of Factuality in Summarization
GO FIGURE: A Meta Evaluation of Factuality in Summarization
Saadia Gabriel
Asli Celikyilmaz
Rahul Jha
Yejin Choi
Jianfeng Gao
HILM
233
96
0
24 Oct 2020
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
206
615
0
03 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,943
0
20 Apr 2018
1