Multi Role
"Multi-role" research explores how large language models (LLMs) and other AI systems can effectively perform multiple functions or adopt diverse perspectives within a single application. Current research focuses on improving LLMs' ability to maintain consistent roles in complex scenarios (e.g., role-playing, collaborative learning), mitigating issues like character hallucination and ensuring adherence to predefined rules. This work is significant for advancing AI capabilities in various fields, including education, combating misinformation, and improving human-computer interaction, by enabling more nuanced and adaptable AI systems.
Papers
Analyzing the Roles of Language and Vision in Learning from Limited Data
Allison Chen, Ilia Sucholutsky, Olga Russakovsky, Thomas L. Griffiths
Current and future roles of artificial intelligence in retinopathy of prematurity
Ali Jafarizadeh, Shadi Farabi Maleki, Parnia Pouya, Navid Sobhi, Mirsaeed Abdollahi, Siamak Pedrammehr, Chee Peng Lim, Houshyar Asadi, Roohallah Alizadehsani, Ru-San Tan, Sheikh Mohammad Shariful Islam, U. Rajendra Acharya