PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

arXiv:2305.02547v4 Announce Type: replace
Abstract: Despite the many use cases for large language models (LLMs) in creating personalized chatbots, there has been limited research on evaluating the extent to which the behaviors of personalized LLMs accurately and consistently reflect specific personality traits. We consider studying the behavior of LLM-based agents which we refer to as LLM personas and present a case study with GPT-3.5 and GPT-4 to investigate whether LLMs can generate content that aligns with their assigned personality profiles. …

abstract arxiv behavior cases chatbots cs.ai cs.cl cs.hc express language language models large language large language models llms personality personalized research studying type use cases