6 citations · 7 across the 4 of their papers we have counts for
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cs.HC2024
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…
cs.HC2024★ 6 cited
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…
cs.HC2023★ 1 cited
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…