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GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Models

GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Models

22 August 2024
Kunsheng Tang
Wenbo Zhou
Jie Zhang
Aishan Liu
Gelei Deng
Shuai Li
Peigui Qi
Weiming Zhang
Tianwei Zhang
Nenghai Yu
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Papers citing "GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Models"

4 / 4 papers shown
Title
aiXamine: Simplified LLM Safety and Security
aiXamine: Simplified LLM Safety and Security
Fatih Deniz
Dorde Popovic
Yazan Boshmaf
Euisuh Jeong
M. Ahmad
Sanjay Chawla
Issa M. Khalil
ELM
70
0
0
21 Apr 2025
Gender and content bias in Large Language Models: a case study on Google Gemini 2.0 Flash Experimental
Gender and content bias in Large Language Models: a case study on Google Gemini 2.0 Flash Experimental
Roberto Balestri
37
0
0
18 Mar 2025
Are LLMs Rational Investors? A Study on Detecting and Reducing the
  Financial Bias in LLMs
Are LLMs Rational Investors? A Study on Detecting and Reducing the Financial Bias in LLMs
Yuhang Zhou
Yuchen Ni
Yu Gan
Zhangyue Yin
Xiang Liu
Jian Zhang
Sen Liu
Xipeng Qiu
Guangnan Ye
Hongfeng Chai
AIFin
30
4
0
20 Feb 2024
Quantifying Social Biases Using Templates is Unreliable
Quantifying Social Biases Using Templates is Unreliable
P. Seshadri
Pouya Pezeshkpour
Sameer Singh
37
28
0
09 Oct 2022
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