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MoME

model1 events
papersTODAY 04:00 UTC

MoME: Mixture-of-Memory Embeddings for Context-Aware Sparse Lookup

A new arXiv preprint proposes MoME, a technique that combines conditional memory — token-indexed embedding tables that give a model cheap parametric lookups — with sparse capacity ideas inspired by Mixture-of-Experts. The method aims to make those lookups context-aware by routing them selectively, as part of broader efforts to scale language models more efficiently.

sparse-models/embeddings/llm-efficiency/arxiv