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Found 3 papers, 1 papers with code
C5: Towards Better Conversation Comprehension and Contextual Continuity for ChatGPT
Large language models (LLMs), such as ChatGPT, have demonstrated outstanding performance in various fields, particularly in natural language understanding and generation tasks.
VAC2: Visual Analysis of Combined Causality in Event Sequences
To fill the absence of combined causes discovery on temporal event sequence data, eliminating and recruiting principles are defined to balance the effectiveness and controllability on cause combinations.
DGSVis: Visual Analysis of Hierarchical Snapshots in Dynamic Graph
To provide an effective analysis method for this type of dynamic graph data, we propose a snapshot generation algorithm involving Human-In-Loop to help users divide the dynamic graphs into multi-granularity and hierarchical snapshots for further analysis.
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