The paper "From Persona to Personalization: A Survey on Role-Playing Language Agents" by Jiangjie Chen et al. provides a comprehensive overview of Role-Playing Language Agents (RPLAs), which are specialized AI systems designed to simulate assigned personas. The authors categorize personas into three types: Demographic Persona, Character Persona, and Individualized Persona, each with distinct characteristics and applications. They discuss the methodologies for building RPLAs, including parametric training and nonparametric prompting, and evaluate their performance in terms of role-playing capabilities and persona fidelity. The paper also explores the risks and limitations of RPLAs, such as toxicity and biases, and highlights their potential in various AI applications, including emotional companions, interactive video games, and personalized assistants. The authors aim to establish a clear taxonomy of RPLA research and applications, facilitating future research and promoting the harmonious coexistence of humans and RPLAs.The paper "From Persona to Personalization: A Survey on Role-Playing Language Agents" by Jiangjie Chen et al. provides a comprehensive overview of Role-Playing Language Agents (RPLAs), which are specialized AI systems designed to simulate assigned personas. The authors categorize personas into three types: Demographic Persona, Character Persona, and Individualized Persona, each with distinct characteristics and applications. They discuss the methodologies for building RPLAs, including parametric training and nonparametric prompting, and evaluate their performance in terms of role-playing capabilities and persona fidelity. The paper also explores the risks and limitations of RPLAs, such as toxicity and biases, and highlights their potential in various AI applications, including emotional companions, interactive video games, and personalized assistants. The authors aim to establish a clear taxonomy of RPLA research and applications, facilitating future research and promoting the harmonious coexistence of humans and RPLAs.