A dataset revealing high inter-designer disagreement on UI preferences motivates a sample-efficient method that personalizes generative interfaces by embedding new users in the space of prior designers, outperforming baselines in both modeling and user preference.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Presenters treat constraints as active guides for building and reusing slide narratives across sessions, supported by the new CMPA framework and ReSlide tool that improves constraint-aware authoring compared to baselines.
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Efficient Personalization of Generative User Interfaces
A dataset revealing high inter-designer disagreement on UI preferences motivates a sample-efficient method that personalizes generative interfaces by embedding new users in the space of prior designers, outperforming baselines in both modeling and user preference.
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When Constraints Limit and Inspire: Characterizing Presentation Authoring Practices for Evolving Narratives
Presenters treat constraints as active guides for building and reusing slide narratives across sessions, supported by the new CMPA framework and ReSlide tool that improves constraint-aware authoring compared to baselines.