"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset

18 May 2022

Papers citing ""I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset"

4 / 4 papers shown

Title
Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals Phillip Howard Kathleen C. Fraser Anahita Bhiwandiwalla S. Kiritchenko 33 9 0 30 May 2024
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 245 308 0 28 Feb 2021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics Sebastian Gehrmann Tosin P. Adewumi Karmanya Aggarwal Pawan Sasanka Ammanamanchi Aremu Anuoluwapo ... Nishant Subramani Wei-ping Xu Diyi Yang Akhila Yerukola Jiawei Zhou VLM 235 254 0 02 Feb 2021
The Woman Worked as a Babysitter: On Biases in Language Generation Emily Sheng Kai-Wei Chang Premkumar Natarajan Nanyun Peng 190 529 0 03 Sep 2019