12 papers
Semantic Bundling: Interactive Node and Edge Bundling to Simplify Knowledge Graphs using Large Language Models
Adam Coscia, Zeyu Hua, Eric Krokos +2
We present Semantic Bundling, a visual analytics technique for making sense of text documents represented as knowledge graphs (KGs). Representing a document corpus as a KG makes re…
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…
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…
Semantic Prompting: Agentic Incremental Narrative Refinement through Spatial Semantic Interaction
Xuxin Tang, Ibrahim Tahmid, Eric Krokos +3
Interactive spatial layouts empower users to synthesize information and organize findings for sensemaking. While Large Language Models (LLMs) can automate narrative generation from…
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…
Semantic Interaction for Narrative Map Sensemaking: An Insight-based Evaluation
Brian Felipe Keith-Norambuena, Fausto German, Eric Krokos +2
Semantic interaction (SI) enables analysts to incorporate their cognitive processes into AI models through direct manipulation of visualizations. While SI frameworks for narrative…