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Harbin Institute of Technology (Shenzhen)
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Today's LLM agents are surprisingly passive, missing opportunities to proactively learn and remember user preferences that could dramatically improve their long-term usefulness.
LLM agents struggle to remember where they learned something, leading to critical errors, but structuring memory with "typed atoms" can fix it.
