Understanding Intrinsic Socioeconomic Biases in Large Language Models

28 May 2024

Papers citing "Understanding Intrinsic Socioeconomic Biases in Large Language Models"

7 / 7 papers shown

Title
What's in a Name? Auditing Large Language Models for Race and Gender Bias Amit Haim Alejandro Salinas Julian Nyarko 96 38 0 21 Feb 2024
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 84 260 0 12 Oct 2020
Language (Technology) is Power: A Critical Survey of "Bias" in NLP Su Lin Blodgett Solon Barocas Hal Daumé Hanna M. Wallach 157 1,257 0 28 May 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 503 20,376 0 23 Oct 2019
Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach Chuan Qin Hengshu Zhu Tong Xu Chen Zhu Liang Jiang Enhong Chen Hui Xiong 54 165 0 21 Dec 2018
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems S. Kiritchenko Saif M. Mohammad FaML 86 441 0 11 May 2018
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhiwen Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 918 6,799 0 26 Sep 2016