SOURCE-LINKED INTELLIGENCE
Do LLMs Understand Personality? Rethinking Persona Fidelity Evaluation through Structured Behavioral Inference
As large language models are increasingly deployed to simulate diverse human characters, ensuring persona fidelity, defined as the extent to which an agent's behavior consistently reflects the psychological and stylistic characteristics of a target persona, has become a critical requirement. However, existing evaluation paradigms primarily rely on either holistic LLM-based judges, which are prone to "holistic appraisal hallucination'', or static psychometric inventories, which fail to capture the context-dependent fidelity required in dynamic dialogue. To address these limitations, we propose
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-27T06:27:51.000Z
First collected: 2026-09-21T08:51:59.673Z. This is not the publication date.