4 papers indexed
Yan Zhu, Y. Chen, Rebecca Faust
In large-scale text analysis tasks, pre-trained language models are often used to embed text corpora for downstream analysis. However, such models may struggle to capture domain-specific semantics and adapting them typically requires large amounts of labeled data and technical ex…
Wei Liu, Eric Krokos, Kirsten Whitley, Rebecca Faust, Chris North
Low-dimensional projections support interactive visual analysis of high-dimensional data embeddings, but their structure often does not align with analyst-defined semantic relationships. Recent LLM-augmented semantic steering methods address this gap by externalizing analyst inte…
Yongbo Chen, Yan Zhu, Rebecca Faust
Visualization has been recognized as a valuable means of supporting debugging by externalizing runtime behavior that would otherwise remain hidden or scattered. However, most visual debugging research has focused on traditional software development settings, leaving the distinct…
Wei Liu, John Wenskovitch, Chris North, Rebecca Faust
Spatialized document layouts are widely used for exploratory analysis of text corpora, but interpreting the spatial organization of documents and the relationships between regions remains challenging. Existing approaches primarily summarize document content or explain how layouts…