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papersSEP 10 04:00 UTC

Researchers propose minimal sufficient user profiles for personalized language models

A new arXiv paper examines how large language models personalize their outputs using records retrieved from user histories. Rather than prepending a fixed number of retrieved items, the authors learn minimal sufficient user profiles that retain only the information needed to produce accurate, preference-aligned responses.

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