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ALLOT: Budgeted Hybrid-Memory Routing for Knowledge Updates in LLMs
For large language models (LLMs), parametric adaptation is costly when retrieval already suffices. We introduce ALLOT, a hybrid-memory routing framework that separates learned write priority from a hard parametric budget. A memory-aware router combines frozen text representations, retrieval confiden
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