UAG is a universal avoidance generation method that increases multi-branch diversity in diffusion and transformer models by penalizing output similarity, delivering up to 1.9x higher diversity with 4.4x speed and 1/64th the FLOPs of prior methods.
A Character-Centric Creative Story Generation via Imagination, Dec
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A scoping review of 81 articles finds generative AI widely applied to persona development with 61% resource sharing but 45% lacking evaluation and frequent GPT-only use, proposing guidelines to address circularity and reduced human oversight.
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A Universal Avoidance Method for Diverse Multi-branch Generation
UAG is a universal avoidance generation method that increases multi-branch diversity in diffusion and transformer models by penalizing output similarity, delivering up to 1.9x higher diversity with 4.4x speed and 1/64th the FLOPs of prior methods.
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Creating and Evaluating Personas Using Generative AI: A Scoping Review of 81 Articles
A scoping review of 81 articles finds generative AI widely applied to persona development with 61% resource sharing but 45% lacking evaluation and frequent GPT-only use, proposing guidelines to address circularity and reduced human oversight.