6 citations · 7 across the 4 of their papers we have counts for
4 papers
Exploring Empty Spaces: Human-in-the-Loop Data Augmentation
Catherine Yeh, Donghao Ren, Yannick Assogba +2
Data augmentation is crucial to make machine learning models more robust and safe. However, augmenting data can be challenging as it requires generating diverse data points to rigo…
GhostWriter: Augmenting Collaborative Human-AI Writing Experiences Through Personalization and Agency
Catherine Yeh, Gonzalo Ramos, Rachel Ng +2
Large language models (LLMs) have become ubiquitous in providing different forms of writing assistance to different writers. However, LLM-powered writing systems often fall short i…
AttentionViz: A Global View of Transformer Attention
Catherine Yeh, Yida Chen, Aoyu Wu +3
Transformer models are revolutionizing machine learning, but their inner workings remain mysterious. In this work, we present a new visualization technique designed to help researc…
Envisioning the Next-Gen Document Reader
Catherine Yeh, Nedim Lipka, Franck Dernoncourt
People read digital documents on a daily basis to share, exchange, and understand information in electronic settings. However, current document readers create a static, isolated re…