Hi, my name is Martha: Using names to measure and mitigate bias in generative dialogue models

7 September 2021

Papers citing "Hi, my name is Martha: Using names to measure and mitigate bias in generative dialogue models"

8 / 8 papers shown

Title
"They are uncultured": Unveiling Covert Harms and Social Threats in LLM Generated Conversations Preetam Prabhu Srikar Dammu Hayoung Jung Anjali Singh Monojit Choudhury Tanushree Mitra 32 8 0 08 May 2024
Emerging Challenges in Personalized Medicine: Assessing Demographic Effects on Biomedical Question Answering Systems Sagi Shaier Kevin Bennett Lawrence E Hunter K. Wense 26 0 0 16 Oct 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models Hugo Touvron Louis Martin Kevin R. Stone Peter Albert Amjad Almahairi ... Sharan Narang Aurelien Rodriguez Robert Stojnic Sergey Edunov Thomas Scialom AI4MH ALM 88 10,977 0 18 Jul 2023
This Prompt is Measuring <MASK>: Evaluating Bias Evaluation in Language Models Seraphina Goldfarb-Tarrant Eddie L. Ungless Esma Balkir Su Lin Blodgett 29 9 0 22 May 2023
"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset Eric Michael Smith Melissa Hall Melanie Kambadur Eleonora Presani Adina Williams 65 129 0 18 May 2022
AugLy: Data Augmentations for Robustness Zoe Papakipos Joanna Bitton AAML 29 53 0 17 Jan 2022
A Word on Machine Ethics: A Response to Jiang et al. (2021) Zeerak Talat Hagen Blix Josef Valvoda M. I. Ganesh Ryan Cotterell Adina Williams SyDa FaML 88 39 0 07 Nov 2021
Deep Reinforcement Learning for Dialogue Generation Jiwei Li Will Monroe Alan Ritter Michel Galley Jianfeng Gao Dan Jurafsky 198 1,327 0 05 Jun 2016