Learning to Generate Equitable Text in Dialogue from Biased Training Data

10 July 2023

Papers citing "Learning to Generate Equitable Text in Dialogue from Biased Training Data"

15 / 15 papers shown

Title
Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks Mohammad Saleha Azadeh Tabatabaeib 52 0 0 14 Apr 2025
Accounting for Sycophancy in Language Model Uncertainty Estimation Anthony Sicilia Mert Inan Malihe Alikhani 24 1 0 17 Oct 2024
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users Mengxuan Hu Hongyi Wu Zihan Guan Ronghang Zhu Dongliang Guo Daiqing Qi Sheng Li SILM 33 3 0 10 Oct 2024
The Mismeasure of Man and Models: Evaluating Allocational Harms in Large Language Models Hannah Chen Yangfeng Ji David E. Evans 27 0 0 02 Aug 2024
Why Don't Prompt-Based Fairness Metrics Correlate? A. Zayed Gonçalo Mordido Ioana Baldini Sarath Chandar ALM 44 4 0 09 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 29 1 0 03 Jun 2024
Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community Casey Kennington Malihe Alikhani Heather Pon-Barry Katherine Atwell Yonatan Bisk ... Jivko Sinapov Angela Stewart Matthew Stone Stefanie Tellex Tom Williams 44 0 0 01 Apr 2024
Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies Vithya Yogarajan Gillian Dobbie Te Taka Keegan R. Neuwirth ALM 37 11 0 03 Dec 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 19 478 0 02 Sep 2023
Correcting Underrepresentation and Intersectional Bias for Classification Emily Diana A. Tolbert FaML 19 1 0 19 Jun 2023
LEATHER: A Framework for Learning to Generate Human-like Text in Dialogue Anthony Sicilia Malihe Alikhani 27 4 0 14 Oct 2022
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 16 7 0 07 Oct 2022
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation Tianlu Wang Xi Victoria Lin Nazneen Rajani Bryan McCann Vicente Ordonez Caimng Xiong CVBM 110 54 0 03 May 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,143 0 23 Aug 2019
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 210 663 0 17 Feb 2018