A Robust Bias Mitigation Procedure Based on the Stereotype Content Model

26 October 2022

Papers citing "A Robust Bias Mitigation Procedure Based on the Stereotype Content Model"

21 / 21 papers shown

Title
Relative Bias: A Comparative Framework for Quantifying Bias in LLMs Alireza Arbabi Florian Kerschbaum 125 0 0 22 May 2025
Gender-Neutral Large Language Models for Medical Applications: Reducing Bias in PubMed Abstracts Elizabeth Schaefer Kirk Roberts 117 0 0 10 Jan 2025
Profiling Bias in LLMs: Stereotype Dimensions in Contextual Word Embeddings Carolin M. Schuster Maria-Alexandra Dinisor Shashwat Ghatiwala Georg Groh 100 1 0 25 Nov 2024
Bias Testing and Mitigation in LLM-based Code Generation Dong Huang Qingwen Bu Jie M. Zhang Xiaofei Xie Junjie Chen Heming Cui 70 23 0 03 Sep 2023
Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models Yang Trista Cao Anna Sotnikova Hal Daumé Rachel Rudinger L. Zou 37 49 0 23 Jun 2022
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations Yang Trista Cao Yada Pruksachatkun Kai-Wei Chang Rahul Gupta Varun Kumar Jwala Dhamala Aram Galstyan 31 94 0 25 Mar 2022
An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models Nicholas Meade Elinor Poole-Dayan Siva Reddy 48 127 0 16 Oct 2021
Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model Kathleen C. Fraser I. Nejadgholi S. Kiritchenko 30 39 0 04 Jun 2021
Generating Datasets with Pretrained Language Models Timo Schick Hinrich Schütze 126 235 0 15 Apr 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 282 380 0 28 Feb 2021
Debiasing Pre-trained Contextualised Embeddings Masahiro Kaneko Danushka Bollegala 231 140 0 23 Jan 2021
Intrinsic Bias Metrics Do Not Correlate with Application Bias Seraphina Goldfarb-Tarrant Rebecca Marchant Ricardo Muñoz Sánchez Mugdha Pandya Adam Lopez 70 173 0 31 Dec 2020
Measuring and Reducing Gendered Correlations in Pre-trained Models Kellie Webster Xuezhi Wang Ian Tenney Alex Beutel Emily Pitler Ellie Pavlick Jilin Chen Ed Chi Slav Petrov FaML 62 256 0 12 Oct 2020
Towards Debiasing NLU Models from Unknown Biases Prasetya Ajie Utama N. Moosavi Iryna Gurevych 43 155 0 25 Sep 2020
Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases W. Guo Aylin Caliskan 27 237 0 06 Jun 2020
StereoSet: Measuring stereotypical bias in pretrained language models Moin Nadeem Anna Bethke Siva Reddy 69 979 0 20 Apr 2020
The Woman Worked as a Babysitter: On Biases in Language Generation Emily Sheng Kai-Wei Chang Premkumar Natarajan Nanyun Peng 254 631 0 03 Sep 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.1K 93,936 0 11 Oct 2018
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 712 7,080 0 20 Apr 2018
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods Jieyu Zhao Tianlu Wang Mark Yatskar Vicente Ordonez Kai-Wei Chang 85 919 0 18 Apr 2018
Deep contextualized word representations Matthew E. Peters Mark Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer NAI 130 11,520 0 15 Feb 2018