EngramEdit uses conditional memory to decouple LLM knowledge updates
Read original source →arxiv.org
Paper builds on DeepSeek Engram-style conditional memory, which looks up learned embeddings from input n-grams to expand LLM capacity with limited extra computation. EngramEdit targets decoupled factual knowledge updates rather than model scaling.
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