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...
Mo-Han Zhang, Chengsong You, Xiao-Yu Cao et al.
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