The paper illustrates how we may treat different instances of the same language models as a "multiagent society", where individual language model generate and critique the language generations of other instances of the language model

The authors find that the final answer generated after such a procedure is both more factually accurate and solves reasoning questions more accurately

Illustrating the quantitative difference between multiagent debate and single agent generation on different domains in reasoning and factual validity