Quantifying Social Biases Using Templates is Unreliable

9 October 2022

Papers citing "Quantifying Social Biases Using Templates is Unreliable"

6 / 6 papers shown

Title
Explicit vs. Implicit: Investigating Social Bias in Large Language Models through Self-Reflection Yachao Zhao Bo Wang Yan Wang 40 2 0 04 Jan 2025
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs) Leander Girrbach Yiran Huang Stephan Alaniz Trevor Darrell Zeynep Akata VLM 32 2 0 25 Oct 2024
GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Models Kunsheng Tang Wenbo Zhou Jie Zhang Aishan Liu Gelei Deng Shuai Li Peigui Qi Weiming Zhang Tianwei Zhang Nenghai Yu 29 3 0 22 Aug 2024
The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations A. Salinas Parth Vipul Shah Yuzhong Huang Robert McCormack Fred Morstatter 6 32 0 03 Aug 2023
Robustness Gym: Unifying the NLP Evaluation Landscape Karan Goel Nazneen Rajani Jesse Vig Samson Tan Jason M. Wu Stephan Zheng Caiming Xiong Mohit Bansal Christopher Ré AAML OffRL OOD 130 136 0 13 Jan 2021
The Woman Worked as a Babysitter: On Biases in Language Generation Emily Sheng Kai-Wei Chang Premkumar Natarajan Nanyun Peng 195 607 0 03 Sep 2019