If You Want Coherence, Orchestrate a Team of Rivals: Multi-Agent "

In plain words

This research paper examines multi-agent AI systems that use competing or opposing perspectives to achieve better coherence and decision-making. Published on arXiv, the work is intended for researchers and developers working with AI agents and language models. The approach stands out by proposing that orchestrating teams of agents with rival viewpoints can produce more consistent and reliable outputs than single-agent systems.

written from the facts on this page · September 2026

From the sources

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