The paper "Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization" by Yu-Min Tseng et al. provides a comprehensive survey of the current state of research on leveraging personas in large language models (LLMs). The authors categorize the existing literature into two main streams: LLM Role-Playing and LLM Personalization. In Role-Playing, LLMs are assigned specific personas and act accordingly, while in Personalization, LLMs adapt to user personas to generate tailored responses. The paper highlights the importance of evaluating LLM personality and discusses challenges such as the lack of datasets, privacy concerns, and biases. It also explores future directions, including the need for general frameworks, handling long-context personas, and addressing safety and privacy issues. The authors aim to serve as a valuable resource for both newcomers and researchers in the field.The paper "Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization" by Yu-Min Tseng et al. provides a comprehensive survey of the current state of research on leveraging personas in large language models (LLMs). The authors categorize the existing literature into two main streams: LLM Role-Playing and LLM Personalization. In Role-Playing, LLMs are assigned specific personas and act accordingly, while in Personalization, LLMs adapt to user personas to generate tailored responses. The paper highlights the importance of evaluating LLM personality and discusses challenges such as the lack of datasets, privacy concerns, and biases. It also explores future directions, including the need for general frameworks, handling long-context personas, and addressing safety and privacy issues. The authors aim to serve as a valuable resource for both newcomers and researchers in the field.