[KongchangAI]
ConceptShared History Attention Cache

Shared History Attention Cache

An inference optimization technique that reuses the attention cache of previously encoded history across multiple sampling runs, avoiding redundant computation on identical historical input and improving the efficiency of generating multiple paths.

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Oct 16

PathFM uses a shared history attention cache to reuse the history encoding across multiple samplings, avoiding repeated computation.

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