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Dual-Cache Latent Space Communication between Heterogeneous Language Models

This story is from 2026-08-24. It is preserved in the archive; the latest stories are on the live feed.

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 Receiver needs to complete its task. They usually communicate by exchanging text, whi…

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  1. 2026-08-24 04:00 · arXiv cs.AI
    Dual-Cache Latent Space Communication between Heterogeneous Language Models

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