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Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling

Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling

Rui Wang
Pengyu Cheng
Ricardo Henao
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Papers citing "Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling"

6 / 6 papers shown
Title
Navigating LLM Ethics: Advancements, Challenges, and Future Directions
Navigating LLM Ethics: Advancements, Challenges, and Future Directions
Junfeng Jiao
S. Afroogh
Yiming Xu
Connor Phillips
AILaw
65
20
0
14 May 2024
LLM-Assisted Content Conditional Debiasing for Fair Text Embedding
LLM-Assisted Content Conditional Debiasing for Fair Text Embedding
Wenlong Deng
Blair Chen
Beidi Zhao
Chiyu Zhang
Xiaoxiao Li
Christos Thrampoulidis
35
0
0
22 Feb 2024
A Survey on Fairness in Large Language Models
A Survey on Fairness in Large Language Models
Yingji Li
Mengnan Du
Rui Song
Xin Wang
Ying Wang
ALM
52
59
0
20 Aug 2023
Personalized Privacy Amplification via Importance Sampling
Personalized Privacy Amplification via Importance Sampling
Dominik Fay
Sebastian Mair
Jens Sjölund
60
0
0
05 Jul 2023
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
Timo Schick
Sahana Udupa
Hinrich Schütze
259
374
0
28 Feb 2021
The Woman Worked as a Babysitter: On Biases in Language Generation
The Woman Worked as a Babysitter: On Biases in Language Generation
Emily Sheng
Kai-Wei Chang
Premkumar Natarajan
Nanyun Peng
223
618
0
03 Sep 2019