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TokenMinds reveals that combining discrete SID-based user tokens with dense embeddings can significantly enhance user modeling in recommender systems at scale.
Forget slow prefix trees: STATIC unlocks massive speedups (up to 1033x) for constrained LLM decoding on GPUs/TPUs by vectorizing trie traversals into sparse matrix operations.
