most citedVisualizing Temporal Topic Embeddings with a Compass

2 citations · 3 across the 10 of their papers we have counts for

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cs.HC2026

Spatial Visual Analytics for Multi-Document Summary Verification

Jiahao Xu, Wei Liu, Yang Liu +5

Large language models increasingly generate summaries from collections of documents to support sensemaking and reporting, but verifying whether summary statements are grounded in s…

cs.HC2026

Scalable Semantic Steering of Embedding Projections

Wei Liu, Eric Krokos, Kirsten Whitley +2

Low-dimensional projections support interactive visual analysis of high-dimensional data embeddings, but their structure often does not align with analyst-defined semantic relation…

cs.HC2026

Debugging as Evidence-Driven Reasoning: Visualization Opportunities in Data-Intensive Programming

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 visua…

cs.HC2026

Context-Aware Explanations for Spatialized Document Layouts

Wei Liu, John Wenskovitch, Chris North +1

Spatialized document layouts are widely used for exploratory analysis of text corpora, but interpreting the spatial organization of documents and the relationships between regions…

cs.HC2026

LLM-Augmented Semantic Steering of Text Embedding Projection Spaces

Wei Liu, Eric Krokos, Kirsten Whitley +2

Low-dimensional projections of text embeddings support visual analysis of document collections, but their spatial organization may not reflect the relationships an analyst intends…

cs.HC20241 cited

Visualizing Spatial Semantics of Dimensionally Reduced Text Embeddings

Wei Liu, Chris North, Rebecca Faust

Dimension reduction (DR) can transform high-dimensional text embeddings into a 2D visual projection facilitating the exploration of document similarities. However, the projection o…