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Prefill-Free Cross-Family KV Cache Transfer for Heterogeneous Multi-Agent LLMs

Yun, Vincent-Daniel et al.
arXiv (All) · Papers
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artificial-intelligencemachine-learningmultiagent-systems
Recent multi-agent LLM systems increasingly combine heterogeneous models for specialized agent roles. However, text-based communication requires each receiver to prefill shared context already processed by the sender. Reusing the sender's key-value (KV) cache avoids this redundancy, but prefill-free
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