KVShareArena: KV-Cache Reuse Across Contexts and Model Checkpoints
Reusing key-value (KV) caches speeds up LLM inference by avoiding repeated computation on shared text. Standard prefix caching reuses a KV cache only when the LLM is the same and all preceding text is identical, but real workloads often break both conditions: RAG systems place different documents before the same one, agents with different system prompts read the same file or tool output, multi-agent workflows use specialized LLMs on shared material, and an updated model reads documents cached by its previous version. Because KV caches depend on both the preceding text and the model weights, direct reuse can reduce answer quality. Many methods repair or compress the reused cache, but each ...
| Authors | Xi Shi, Mengxin Zheng, Qian Lou |
|---|---|
| Primary category | cs.CL |
| Published | 9 September 2026 |
| Last updated at source | 27 September 2026 |
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