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PRAGMA: Evaluating Personalized Guidance with Memory Alignment in Lifelong Conversations
Large language models (LLMs) are increasingly deployed as personalized assistants that interact with users over extended periods of time. As conversations grow longer, relying on full interaction histories becomes increasingly inefficient and unreliable: long contexts introduce substantial computati
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