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Unified Detoxifying and Debiasing in Language Generation via
  Inference-time Adaptive Optimization

Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization

10 October 2022
Zonghan Yang
Xiaoyuan Yi
Peng Li
Yang Liu
Xing Xie
ArXivPDFHTML

Papers citing "Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization"

13 / 13 papers shown
Title
Towards Effective Discrimination Testing for Generative AI
Towards Effective Discrimination Testing for Generative AI
Thomas P. Zollo
Nikita Rajaneesh
Richard Zemel
Talia B. Gillis
Emily Black
30
1
0
31 Dec 2024
Towards Understanding Task-agnostic Debiasing Through the Lenses of
  Intrinsic Bias and Forgetfulness
Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness
Guangliang Liu
Milad Afshari
Xitong Zhang
Zhiyu Xue
Avrajit Ghosh
Bidhan Bashyal
Rongrong Wang
K. Johnson
27
0
0
06 Jun 2024
Controlled Text Generation via Language Model Arithmetic
Controlled Text Generation via Language Model Arithmetic
Jasper Dekoninck
Marc Fischer
Luca Beurer-Kellner
Martin Vechev
31
36
0
24 Nov 2023
Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented
  Models
Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models
Luiza Amador Pozzobon
B. Ermiş
Patrick Lewis
Sara Hooker
30
20
0
11 Oct 2023
MAUVE Scores for Generative Models: Theory and Practice
MAUVE Scores for Generative Models: Theory and Practice
Krishna Pillutla
Lang Liu
John Thickstun
Sean Welleck
Swabha Swayamdipta
Rowan Zellers
Sewoong Oh
Yejin Choi
Zaïd Harchaoui
EGVM
35
21
0
30 Dec 2022
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text
  Generation
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation
Yuxi Feng
Xiaoyuan Yi
Xiting Wang
L. Lakshmanan
Xing Xie
DiffM
35
5
0
16 Dec 2022
An Analysis of the Effects of Decoding Algorithms on Fairness in
  Open-Ended Language Generation
An Analysis of the Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation
Jwala Dhamala
Varun Kumar
Rahul Gupta
Kai-Wei Chang
Aram Galstyan
32
7
0
07 Oct 2022
Challenges in Measuring Bias via Open-Ended Language Generation
Challenges in Measuring Bias via Open-Ended Language Generation
Afra Feyza Akyürek
Muhammed Yusuf Kocyigit
Sejin Paik
Derry Wijaya
38
22
0
23 May 2022
Text Detoxification using Large Pre-trained Neural Models
Text Detoxification using Large Pre-trained Neural Models
David Dale
Anton Voronov
Daryna Dementieva
V. Logacheva
Olga Kozlova
Nikita Semenov
Alexander Panchenko
39
71
0
18 Sep 2021
Challenges in Detoxifying Language Models
Challenges in Detoxifying Language Models
Johannes Welbl
Amelia Glaese
J. Uesato
Sumanth Dathathri
John F. J. Mellor
Lisa Anne Hendricks
Kirsty Anderson
Pushmeet Kohli
Ben Coppin
Po-Sen Huang
LM&MA
250
193
0
15 Sep 2021
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
214
616
0
03 Sep 2019
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
323
4,212
0
23 Aug 2019
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