3 papers
cs.AI2026
Persona Generators: Generating Diverse Synthetic Personas for Arbitrary Contexts
Davide Paglieri, Logan Cross, William A. Cunningham +2
Evaluating AI systems that interact with humans requires understanding their behavior across diverse user populations, but collecting representative human data is often expensive o…
cs.CV2025
Evolve to Inspire: Novelty Search for Diverse Image Generation
Alex Inch, Passawis Chaiyapattanaporn, Yuchen Zhu +3
Text-to-image diffusion models, while proficient at generating high-fidelity images, often suffer from limited output diversity, hindering their application in exploratory and idea…
cs.AI2025
Multi-Actor Generative Artificial Intelligence as a Game Engine
Alexander Sasha Vezhnevets, Jayd Matyas, Logan Cross +6
Generative AI can be used in multi-actor environments with purposes ranging from social science modeling to interactive narrative and AI evaluation. Supporting this diversity of us…