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Beyond Retrieval: Learning Compact User Representations for Scalable LLM Personalization
Personalizing large language models requires adapting model behavior to individual users while preserving robustness and deployment-scale efficiency. Existing approaches typically personalize LLMs either at the input level, by retrieving user histories or constructing profile prompts, or at the para
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