135 citations · 140 across the 6 of their papers we have counts for
6 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…
CorpusStudio: Surfacing Emergent Patterns in a Corpus of Prior Work while Writing
Hai Dang, Chelse Swoopes, Daniel Buschek +1
Many communities, including the scientific community, develop implicit writing norms. Understanding them is crucial for effective communication with that community. Writers gradual…
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…
ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing
Ian Arawjo, Chelse Swoopes, Priyan Vaithilingam +2
Evaluating outputs of large language models (LLMs) is challenging, requiring making -- and making sense of -- many responses. Yet tools that go beyond basic prompting tend to requi…
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…