Not All Is Lost: Repairing Lossy User Preference States of Personalization Encoders
Personalization encoders compress evolving interaction histories into preference states used to rank items or condition text generation. A task head operating only on this state can miss useful evidence that remains in the frozen encoder's cached representations for individual timesteps. We study this recoverability ga...
Parthiv Chatterjee, Dhiraj Golhar, Ummesalma Diwan et al.
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