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Bias Amplification in Multi-Agent Network: How Biased Agents Shape Opinions and Rhetoric
Large language models (LLMs) are increasingly deployed in applications involving interaction between agents, where their output plays a role in collective reasoning and decision-making processes. Despite significant research into the functioning of LLMs in such multi-agent systems, the processes of
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