Dual-cache latent space communication between heterogeneous language models
Read the original at arxiv.org→arXiv:2608.20617v1 Announce Type: new Abstract: Multi-agent LLM systems split work across models, so answering often requires knowledge that sits in another agent's context: a Sharer has encoded information that a...
Original headline: "Dual-Cache Latent Space Communication between Heterogeneous Language Models"
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- Aug 24, 04:00 UTC arXiv cs.AI lead source Dual-Cache Latent Space Communication between Heterogeneous Language Models