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Underneath the Numbers: Quantitative and Qualitative Gender Fairness in
  LLMs for Depression Prediction

Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction

12 June 2024
Micol Spitale
Jiaee Cheong
Hatice Gunes
ArXivPDFHTML

Papers citing "Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction"

3 / 3 papers shown
Title
PinLanding: Content-First Keyword Landing Page Generation via Multi-Modal AI for Web-Scale Discovery
Faye Zhang
Jasmine Wan
Qianyu Cheng
Jinfeng Rao
33
0
0
01 Mar 2025
Probing Explicit and Implicit Gender Bias through LLM Conditional Text
  Generation
Probing Explicit and Implicit Gender Bias through LLM Conditional Text Generation
Xiangjue Dong
Yibo Wang
Philip S. Yu
James Caverlee
30
25
0
01 Nov 2023
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
286
4,143
0
23 Aug 2019
1