Search Results for author: Kendall Smith

Found 2 papers, 2 papers with code

Constructing a Psychometric Testbed for Fair Natural Language Processing

1 code implementation • EMNLP 2021 • Ahmed Abbasi, David Dobolyi, John P. Lalor, Richard G. Netemeyer, Kendall Smith, Yi Yang

We also discuss the important implications of our work and resulting testbed for future NLP research on psychometrics and fairness.

Benchmarking Fairness +2

Paper
Code

Benchmarking Intersectional Biases in NLP

1 code implementation • NAACL 2022 • John Lalor, Yi Yang, Kendall Smith, Nicole Forsgren, Ahmed Abbasi

While much work has highlighted biases embedded in state-of-the-art language models, and more recent efforts have focused on how to debias, research assessing the fairness and performance of biased/debiased models on downstream prediction tasks has been limited.

Benchmarking BIG-bench Machine Learning +1

Paper
Code

Cannot find the paper you are looking for? You can Submit a new open access paper.