collaborators

6 papers

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.AI2026

KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback

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-sp…

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…