Sijia Wang
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126
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NLP×1AI×1ML×1Stats ML×1
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2026
SAGE: A Novelty Gate for Efficient Memory Evolution in Agentic LLMs
The paper proposes SAGE, a novelty-aware gate that efficiently controls memory updates in agentic LLMs by classifying new facts as clearly novel, clearly redundant, or uncertain, thereby significantly reducing expensive write-time reasoning.
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