Controlling Bias Exposure for Fair Interpretable Predictions

14 October 2022

Zexue He

Yu-Xiang Wang

Julian McAuley

Bodhisattwa Prasad Majumder

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Papers citing "Controlling Bias Exposure for Fair Interpretable Predictions"

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UNO Arena for Evaluating Sequential Decision-Making Capability of Large Language Models Zhanyue Qin Haochuan Wang Deyuan Liu Ziyang Song Cunhang Fan ... Zhen Lei Zhiying Tu Dianhui Chu Xiaoyan Yu Dianbo Sui ELM LRM 56 1 0 24 Jun 2024
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas Chengyuan Deng Yiqun Duan Xin Jin Heng Chang Yijun Tian ... Kuofeng Gao Sihong He Jun Zhuang Lu Cheng Haohan Wang AILaw 43 16 0 08 Jun 2024
The Life Cycle of Large Language Models: A Review of Biases in Education Jinsook Lee Yann Hicke Renzhe Yu Christopher A. Brooks René F. Kizilcec AI4Ed 36 1 0 03 Jun 2024
A Note on Bias to Complete Jia Xu Mona Diab 47 2 0 18 Feb 2024
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes Isabel O. Gallegos Ryan A. Rossi Joe Barrow Md Mehrab Tanjim Tong Yu Hanieh Deilamsalehy Ruiyi Zhang Sungchul Kim Franck Dernoncourt 24 19 0 03 Feb 2024
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation Yu-Xiang Wang Zexue He Zhankui He Hao Xu Julian McAuley 11 3 0 17 Dec 2023
Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies Vithya Yogarajan Gillian Dobbie Te Taka Keegan R. Neuwirth ALM 43 11 0 03 Dec 2023
Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads Yi Yang Hanyu Duan Ahmed Abbasi John P. Lalor Kar Yan Tam 13 5 0 17 Nov 2023
Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models Laura Cabello Emanuele Bugliarello Stephanie Brandl Desmond Elliott 23 7 0 26 Oct 2023
On the Interplay between Fairness and Explainability Stephanie Brandl Emanuele Bugliarello Ilias Chalkidis FaML 27 4 0 25 Oct 2023
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation Zexue He Yu-Xiang Wang An Yan Yao Liu Eric Y. Chang Amilcare Gentili Julian McAuley Chun-Nan Hsu ELM 83 14 0 21 Oct 2023
Bias and Fairness in Large Language Models: A Survey Isabel O. Gallegos Ryan A. Rossi Joe Barrow Md Mehrab Tanjim Sungchul Kim Franck Dernoncourt Tong Yu Ruiyi Zhang Nesreen Ahmed AILaw 21 490 0 02 Sep 2023
Label Denoising through Cross-Model Agreement Yu-Xiang Wang Xin Xin Zaiqiao Meng J. Jose Fuli Feng NoLa 34 1 0 27 Aug 2023
Sociodemographic Bias in Language Models: A Survey and Forward Path Vipul Gupta Pranav Narayanan Venkit Shomir Wilson R. Passonneau 42 20 0 13 Jun 2023
Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers Parikshit Bansal Amit Sharma CML 24 5 0 26 May 2023
Interpretable Outlier Summarization Yu Wang Lei Cao Yizhou Yan Samuel Madden 16 0 0 11 Mar 2023
Synthetic Pre-Training Tasks for Neural Machine Translation Zexue He Graeme W. Blackwood Rameswar Panda Julian McAuley Rogerio Feris 21 3 0 19 Dec 2022
InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions Bodhisattwa Prasad Majumder Zexue He Julian McAuley 8 5 0 14 Oct 2022
Evaluating Debiasing Techniques for Intersectional Biases Shivashankar Subramanian Xudong Han Timothy Baldwin Trevor Cohn Lea Frermann 95 49 0 21 Sep 2021
The Woman Worked as a Babysitter: On Biases in Language Generation Emily Sheng Kai-Wei Chang Premkumar Natarajan Nanyun Peng 220 616 0 03 Sep 2019