PersonaEdit: Representative Sample Selection for Personalized Model Editing
PersonaEdit is proposed, a hidden representation clustering strategy that selects representative editing samples through proportional stratified sampling that demonstrates the potential of model editing as an efficient and scalable approach for LLM personalization.
You-Mei Huang, Chung-Chi Chen, An-Zi Yen
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