Ting-Han Wei

PerSPL: Personalized Semi-supervised Preference Learning

Personalized reward models require user-specific preference comparisons, but collecting such feedback is costly and provides only limited supervision for each user. At the same time, large pools of responses can be generated without user identities or preference labels, yet existing personalized reward models leave thi...