StereoSet: Measuring stereotypical bias in pretrained language models

StereoSet: Measuring stereotypical bias in pretrained language models

20 April 2020

Siva Reddy

Papers citing "StereoSet: Measuring stereotypical bias in pretrained language models"

9 / 159 papers shown

Title
Debiasing Pre-trained Contextualised Embeddings Masahiro Kaneko Danushka Bollegala 218 138 0 23 Jan 2021
Underspecification Presents Challenges for Credibility in Modern Machine Learning Alexander DÁmour Katherine A. Heller D. Moldovan Ben Adlam B. Alipanahi ... Kellie Webster Steve Yadlowsky T. Yun Xiaohua Zhai D. Sculley OffRL 77 670 0 06 Nov 2020
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models Nikita Nangia Clara Vania Rasika Bhalerao Samuel R. Bowman 20 645 0 30 Sep 2020
Utility is in the Eye of the User: A Critique of NLP Leaderboards Kawin Ethayarajh Dan Jurafsky ELM 24 51 0 29 Sep 2020
Critical Thinking for Language Models Gregor Betz Christian Voigt Kyle Richardson SyDa ReLM LRM AI4CE 18 35 0 15 Sep 2020
On Robustness and Bias Analysis of BERT-based Relation Extraction Luoqiu Li Xiang Chen Hongbin Ye Zhen Bi Shumin Deng Ningyu Zhang Huajun Chen 32 18 0 14 Sep 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 35 40,023 0 28 May 2020
DQI: Measuring Data Quality in NLP Swaroop Mishra Anjana Arunkumar Bhavdeep Singh Sachdeva Chris Bryan Chitta Baral 36 30 0 02 May 2020
The Woman Worked as a Babysitter: On Biases in Language Generation Emily Sheng Kai-Wei Chang Premkumar Natarajan Nanyun Peng 223 616 0 03 Sep 2019