Grouping a user's stored memories into domain-labeled sections before injecting them into an LLM's context reduces cross-domain leakage by 8.8 percentage points on average across seven models, while slightly improving beneficial memory use.
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Mitigating Over-Personalization in LLMs via Structured Memory
Grouping a user's stored memories into domain-labeled sections before injecting them into an LLM's context reduces cross-domain leakage by 8.8 percentage points on average across seven models, while slightly improving beneficial memory use.