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The paper targets a concrete weakness in LLM procedural character generation: generated populations tend to collapse into similar agreeable personalities…

PERSONAWEAVER: Controllable Diversity Beyond Conventional Archetypes in Procedural Character Generation

#7 · paper · Maan Qraitem, Kate Saenko, Bryan A. Plummer ·

Introduces a method for generating more behaviorally diverse LLM-created personas for games and simulations.

The paper targets a concrete weakness in LLM procedural character generation: generated populations tend to collapse into similar agreeable personalities. PersonaWeaver is framed around controllable diversity beyond fixed archetypes, which matters for games, simulations, and synthetic social environments. If the method works, it gives designers a more reliable way to populate worlds with varied behavior instead of just varied biographies.

new arXiv release with code

coverage count 1

Source: https://arxiv.org/abs/2609.26629v1

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