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DPRF: A Generalizable Dynamic Persona Refinement Framework for Optimizing Behavior Alignment Between Personalized LLM Role-Playing Agents and Humans

arXiv — cs.CL•Thursday, October 30, 2025 at 4:00:00 AM
PositiveArtificial Intelligence
The introduction of the Dynamic Persona Refinement Framework (DPRF) marks a significant advancement in the development of large language model role-playing agents (LLM RPAs). By addressing the common issue of persona fidelity, which is often compromised by poorly constructed profiles, DPRF enhances the alignment between these agents and real human behaviors. This improvement is crucial as it allows for more authentic interactions, making AI systems more effective and relatable. As AI continues to integrate into various aspects of life, ensuring that these systems can accurately reflect human characteristics is essential for their acceptance and utility.
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