1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CL2023★ 1 cited
Unifying Corroborative and Contributive Attributions in Large Language Models
Theodora Worledge, Judy Hanwen Shen, Nicole Meister +2
As businesses, products, and services spring up around large language models, the trustworthiness of these models hinges on the verifiability of their outputs. However, methods for…
cs.LG2021
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data
Esther Rolf, Theodora Worledge, Benjamin Recht +1
Collecting more diverse and representative training data is often touted as a remedy for the disparate performance of machine learning predictors across subpopulations. However, a…