no code implementations • 7 Oct 2022 • Kyra Yee, Alice Schoenauer Sebag, Olivia Redfield, Emily Sheng, Matthias Eck, Luca Belli
Harmful content detection models tend to have higher false positive rates for content from marginalized groups.
no code implementations • 12 Sep 2022 • Amanda Bower, Kristian Lum, Tomo Lazovich, Kyra Yee, Luca Belli
Traditionally, recommender systems operate by returning a user a set of items, ranked in order of estimated relevance to that user.
3 code implementations • 18 May 2021 • Kyra Yee, Uthaipon Tantipongpipat, Shubhanshu Mishra
However, we demonstrate that formalized fairness metrics and quantitative analysis on their own are insufficient for capturing the risk of representational harm in automatic cropping.
1 code implementation • WMT (EMNLP) 2020 • Shruti Bhosale, Kyra Yee, Sergey Edunov, Michael Auli
Pre-training models on vast quantities of unlabeled data has emerged as an effective approach to improving accuracy on many NLP tasks.
Ranked #1 on Machine Translation on WMT2016 Romanian-English (using extra training data)
1 code implementation • IJCNLP 2019 • Kyra Yee, Nathan Ng, Yann N. Dauphin, Michael Auli
Previous work on neural noisy channel modeling relied on latent variable models that incrementally process the source and target sentence.
4 code implementations • WS 2019 • Nathan Ng, Kyra Yee, Alexei Baevski, Myle Ott, Michael Auli, Sergey Edunov
This paper describes Facebook FAIR's submission to the WMT19 shared news translation task.
Ranked #1 on Machine Translation on WMT2019 English-German