Unverified50% confidenceTradeoffExact time
The dimensionality of the binary vectors grows linearly with the vocabulary, and the memory and compute overhead in long-sequence and large-vocabulary scenarios needs further evaluation.
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50%
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Long-term
Relevance
10/21/2026
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Related Claims
UnverifiedThe longer the context, the more VRAM and computational overhead grow approximately quadratically with length.76% similarUnverified长上下文场景的计算复杂度以序列长度的平方级增长，使成本改善速度远慢于短上下文场景76% similarUnverifiedThe larger the vocabulary, the more information each token carries and the shorter the sequence, but the embedding matrix and output layer parameters swell; the smaller the vocabulary, the longer the sequence and the higher the computational overhead.73% similar
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