Preprint
Aug 2026
Sigmoid Attention as a Better Substrate for Learned KV Cache Eviction
It is suggested that attention normalization can substantially affect whether a training-time soft gate transfers cleanly to hard KV deletion, whereas softmax gates do not uniformly beat these post-hoc methods.
I-Hung Li
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