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Notes on language model personalization

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  1. DRIFTLENS: Measuring Memory-Induced Reasoning Drift in Personalized Language Models

    Source note · Jul 2, 2026

    Researchers developed a framework called DRIFTLENS to measure how personalized language models change their reasoning process based on user attributes, preferences, and prior context. The study found that…

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