7 citations · 9 across the 4 of their papers we have counts for
4 papers
AI Assistance for Human Review of Default Judgments
Theodora Worledge, Othman Bensouda Koraichi, Daniel Bernal +4
Overwhelmed courts in the United States review millions of default judgments each year. Unfortunately, such manual reviews are time-consuming and prone to error. In an audit of 188…
The Extractive-Abstractive Spectrum: Uncovering Verifiability Trade-offs in LLM Generations
Theodora Worledge, Tatsunori Hashimoto, Carlos Guestrin
Across all fields of academic study, experts cite their sources when sharing information. While large language models (LLMs) excel at synthesizing information, they do not provide…
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…
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…