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Daniel A. Keim
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Revealing the Unwritten: Visual Investigation of Beam Search Trees to Address Language Model Prompting Challenges
Visual Analytics of Co-Occurrences to Discover Subspaces in Structured Data
VISITOR: Visual Interactive State Sequence Exploration for Reinforcement Learning
FS/DS: A Theoretical Framework for the Dual Analysis of Feature Space and Data Space
RLHF-Blender: A Configurable Interactive Interface for Learning from Diverse Human Feedback
Why Visualize? Arguments for Visual Support in Decision Making
Semantic Concept Spaces : Guided Topic Model Refinement using Word-Embedding Projections
Generative Data Models for Validation and Evaluation of Visualization Techniques
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