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A frozen model cannot use a KV cache from a different model

A reader that keeps its cache and uses the cache of the sender also gives more correct results.

Researchers test if a frozen model can read the KV cache of a different model. The weights do not change. A KV cache is data that a model keeps while it reads text. 8 substitution methods all stay at the baseline. The authors say that a frozen transformer reads only caches that are near the cache that it makes. In a different setup, the reader keeps the cache that it made. It also uses the cache of the sender. It gives more correct results than the baseline.

Sources

  1. Close Enough is Nowhere Near: Fidelity-Consumability Decoupling in KV Cachesarxiv.org
AI MATTER · NEWS · AI MATTER · NEWS ·16 OCT2026

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