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No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media

No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media

Maximilian Spliethover
Maximilian Keiff
Henning Wachsmuth
ArXiv (abs)PDFHTML

Papers citing "No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media"

4 / 4 papers shown
Title
Probing Politico-Economic Bias in Multilingual Large Language Models: A Cultural Analysis of Low-Resource Pakistani Languages
Probing Politico-Economic Bias in Multilingual Large Language Models: A Cultural Analysis of Low-Resource Pakistani Languages
Afrozah Nadeem
Mark Dras
Usman Naseem
32
0
0
29 May 2025
Measuring Political Bias in Large Language Models: What Is Said and How It Is Said
Measuring Political Bias in Large Language Models: What Is Said and How It Is Said
Yejin Bang
Delong Chen
Nayeon Lee
Pascale Fung
85
41
0
27 Mar 2024
A Note on Bias to Complete
A Note on Bias to Complete
Jia Xu
Mona Diab
123
2
0
18 Feb 2024
Sociodemographic Bias in Language Models: A Survey and Forward Path
Sociodemographic Bias in Language Models: A Survey and Forward Path
Vipul Gupta
Pranav Narayanan Venkit
Shomir Wilson
R. Passonneau
97
23
0
13 Jun 2023

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