arXiv (OAI Expanded)
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MoME: Mixture-of-Memory Embeddings for Context-Aware Sparse Lookup
Scaling large language models efficiently has motivated sparse capacity mechanisms such as Mixture-of-Experts and, more recently, conditional memory: token-indexed embedding tables that augment the backbone with cheap parametric lookups. Existing memory-embedding methods retrieve via a deterministic
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