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arXiv Computation and Language By Maan Qraitem, Kate Saenko, Bryan A. Plummer

PERSONAWEAVER: Controllable Diversity Beyond Conventional Archetypes in Procedural Character Generation

Read the original on arXiv Computation and Language →

PERSONAWEAVER is a new approach to procedural character generation that separates world building from behavioral specification, using manually curated banks of moral positions and conversational reactions to diversify character behavior. By applying this method across ten realistic and fantastical settings and three large language models, the system produces broader moral and interactional response distributions, varied interpersonal language, response length, sentiment, and less archetypal world attribute combinations compared to prior work.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computation and Language.

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