1 citations · 1 across the 4 of their papers we have counts for
4 papers
Interface Design to Support Legal Reading and Writing: Insights from Interviews with Legal Experts
Chelse Swoopes, Ziwei Gu, Elena L. Glassman
Legal professionals spend significant time reading, writing, and interpreting complex documents, yet research has not fully captured how they approach these tasks or what they expe…
The Impact of Revealing Large Language Model Stochasticity on Trust, Reliability, and Anthropomorphization
Chelse Swoopes, Tyler Holloway, Elena L. Glassman
Interfaces for interacting with large language models (LLMs) are often designed to mimic human conversations, typically presenting a single response to user queries. This design ch…
Supporting Sensemaking of Large Language Model Outputs at Scale
Katy Ilonka Gero, Chelse Swoopes, Ziwei Gu +2
Large language models (LLMs) are capable of generating multiple responses to a single prompt, yet little effort has been expended to help end-users or system designers make use of…
Accurate, Explainable, and Private Models: Providing Recourse While Minimizing Training Data Leakage
Catherine Huang, Chelse Swoopes, Christina Xiao +2
Machine learning models are increasingly utilized across impactful domains to predict individual outcomes. As such, many models provide algorithmic recourse to individuals who rece…