Mo-Han Zhang

R$^2$A: Learning Persona Policies Through Persona Representation Learning and Runtime Alignment

Across 12 evaluation settings covering the four principles of the Accountable-Professional Persona studied in this work, R$^2$A overall outperforms both the base model and static Persona elicitation and results show that Persona Representation Learning is critical for preventing Runtime Alignment from producing behavio...