1 citations · 1 across the 5 of their papers we have counts for
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Drag, Infer, Reproject: Grounding LLMs through Spatial Interaction for Image Clustering
Yang Liu, Xuxin Tang, Jiahao Xu +1
Dimension reduction and semantic interaction support image clustering by making similarity structure visible and manipulable. Existing semantic interaction methods encode users' cl…
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…
Agentic Reasoning and Refinement through Semantic Interaction
Xuxin Tang, Rehema Abulikemu, Eric Krokos +3
Sensemaking report writing often requires multiple refinements in the iterative process. While Large Language Models (LLMs) have shown promise in generating initial reports based o…
Steering LLM Summarization with Visual Workspaces for Sensemaking
Xuxin Tang, Eric Krokos, Can Liu +4
Large Language Models (LLMs) have been widely applied in summarization due to their speedy and high-quality text generation. Summarization for sensemaking involves information comp…