Human-Guided Fair Classification for Natural Language Processing

Human-Guided Fair Classification for Natural Language Processing

20 December 2022

Florian E.Dorner

Momchil Peychev

Nikola Konstantinov

Martin Vechev

Papers citing "Human-Guided Fair Classification for Natural Language Processing"

8 / 8 papers shown

Title
Limits to scalable evaluation at the frontier: LLM as Judge won't beat twice the data Florian E. Dorner Vivian Y. Nastl Moritz Hardt ELM ALM 35 5 0 17 Oct 2024
Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget Florian E. Dorner Moritz Hardt 18 4 0 03 Feb 2024
"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
Clean or Annotate: How to Spend a Limited Data Collection Budget Derek Chen Zhou Yu Samuel R. Bowman 27 13 0 15 Oct 2021
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 242 193 0 15 Sep 2021
Tailor: Generating and Perturbing Text with Semantic Controls Alexis Ross Tongshuang Wu Hao Peng Matthew E. Peters Matt Gardner 136 77 0 15 Jul 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 235 488 0 31 Dec 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 261 9,134 0 06 Jun 2015