How does LLM mirroring impact alignment?
Investigating social alignment via mirroring in a system of interacting language models
December 11, 2024
https://arxiv.org/pdf/2412.06834This paper investigates how "mirroring" (adopting others' behaviors and opinions) affects alignment (sharing common goals/perspectives) in multi-agent systems. Using simulated interacting LLMs, they found that an agent's communication range and the likelihood of mirroring heavily influence system-level alignment. Restricted communication leads to stable but isolated groups (like echo chambers), while widespread communication with high mirroring rates hinders global consensus, leading to unstable, fragmented groups due to delayed convergence of opinions. This highlights how information exposure and mirroring interact to shape polarization and consensus formation in multi-agent systems.