128 citations · 137 across the 4 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.CL2022★ 128 cited
Holistic Evaluation of Language Models
Percy Liang, Rishi Bommasani, Tony Lee +47
Language models (LMs) are becoming the foundation for almost all major language technologies, but their capabilities, limitations, and risks are not well understood. We present Hol…
cs.LG2022★ 2 cited
FORML: Learning to Reweight Data for Fairness
Bobby Yan, Skyler Seto, Nicholas Apostoloff
Machine learning models are trained to minimize the mean loss for a single metric, and thus typically do not consider fairness and robustness. Neglecting such metrics in training c…