Research3h ago
Apple Analyzes Human-Like Behaviors In LLMs
A study of 21,000 interactions by Apple researchers examines how system prompts and user factors trigger human-like behaviors in LLMs. The team used LLM-as-a-judge and human evaluation to measure emotional expression and boundary setting. These findings provide a framework for developers to control persona consistency and social dynamics in production models.