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LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation

arXiv cs.CL · 2026-05-27 Cached

Latte introduces a framework that represents personalization as forecasting a peer-anchored relative preference state using latent trajectories, injecting a soft token into a frozen LLM to achieve personalized generation. It outperforms existing personalization methods on Amazon Reviews 2023 and MemoryCD datasets.

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