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Evaluating LLMs for Gender Disparities in Notable Persons

Evaluating LLMs for Gender Disparities in Notable Persons

14 March 2024
L. Rhue
Sofie Goethals
Arun Sundararajan
ArXivPDFHTML

Papers citing "Evaluating LLMs for Gender Disparities in Notable Persons"

6 / 6 papers shown
Title
Beyond Binary Gender Labels: Revealing Gender Biases in LLMs through
  Gender-Neutral Name Predictions
Beyond Binary Gender Labels: Revealing Gender Biases in LLMs through Gender-Neutral Name Predictions
Zhiwen You
Haejin Lee
Shubhanshu Mishra
Sullam Jeoung
Apratim Mishra
Jinseok Kim
Jana Diesner
17
9
0
07 Jul 2024
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
26
0
01 Nov 2023
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for
  Generative Large Language Models
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
Potsawee Manakul
Adian Liusie
Mark J. F. Gales
HILM
LRM
150
390
0
15 Mar 2023
Understanding Factuality in Abstractive Summarization with FRANK: A
  Benchmark for Factuality Metrics
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics
Artidoro Pagnoni
Vidhisha Balachandran
Yulia Tsvetkov
HILM
215
305
0
27 Apr 2021
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
233
486
0
31 Dec 2020
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
294
4,187
0
23 Aug 2019
1