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Author

Matthew K. Hong

2 papers indexed here

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#human-computer interacti... Preprint Sep 2026

Scanvas: Discovering and Developing Synergistic Opportunities in Generative Design Spaces

Scanvas is presented, an AI-supported system for systematically discovering and developing synergistic design opportunities and enables users to surface and develop significantly higher-quality, synergistic concepts compared to LLM ideation baselines.

Ya-Qing Yang, A. Kittur, H. Wang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Learning Heterogeneous Preferences

Learning from human feedback has become a central paradigm for training modern AI systems, where models of human utility are used as reward models in policy learning. Existing methods typically assume a \emph{universal utility} function shared across a population and treat disagreement between annotators as stochastic...

Shiwali Mohan, Matthew K. Hong, Du-Le Shu et al. · 0 citations

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