Adaptive Interviewing for Persona Simulation in LLMs: Evidence-Grounded Reasoning Improves Decision Alignment
arXiv:2605.29458v1 Announce Type: cross Abstract: Accurately simulating the decisions of a specific individual remains challenging for large language models (LLMs), partly because persona information is often provided as static descriptions that miss the values, experiences, and contextual cues needed for individual-level decision simulation. We propose an adaptive interview framework that gathers persona-relevant information through a structured three-stage dialogue: core questions, dynamic follow-ups, and a synthesized personality summary. Using the resulting interview transcripts, we evalua
The rapid advancement in large language models has exposed the limitations of static persona descriptions, driving the need for more dynamic and nuanced persona simulation techniques.
Improving LLM's ability to accurately simulate individual decisions based on values and context is critical for their deployment in sensitive applications like customer service, strategic planning, and agentic systems.
This framework shifts LLM persona simulation from static inputs to an adaptive, interactive process, leading to more realistic and aligned decision-making.
- · AI developers
- · Customer service automation
- · Personalized AI applications
- · Gaming and virtual reality
- · LLMs relying solely on static prompts
- · Generic AI assistants
- · Developers of less sophisticated persona models
LLMs will begin interacting with users in a manner more closely resembling human-to-human nuanced dialogue, leading to enhanced user experience and trust.
This improved persona simulation could enable highly personalized AI agents capable of performing complex tasks that require understanding individual preferences and contextual cues.
The ability of AI to deeply understand and mimic individual decision-making processes could raise ethical questions regarding manipulation, autonomy, and the definition of a digital 'self'.
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Read at arXiv cs.AI