Emergence of Biased Consensus in Multi-Agent LLM Debates
This work identifies the emergence of collective norms in multi-agent LLM debates and finds that agent heterogeneity suppresses emergence by smoothing this transition, and shows that these insights generalize to realistic decision-making tasks, including investment decisions and LLM-as-a-judge evaluation.