ECON trains small belief networks to set each LLM's sampling parameters for coordinated reasoning, reporting better accuracy with fewer tokens than debate-based baselines.
This property holds because the payoff function Ui is continuous in (πi, π−i), and the strategy spaces are compact
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From Debate to Equilibrium: Belief-Driven Multi-Agent LLM Reasoning via Bayesian Nash Equilibrium
ECON trains small belief networks to set each LLM's sampling parameters for coordinated reasoning, reporting better accuracy with fewer tokens than debate-based baselines.