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.
Therefore, any convex combination of strategies does not decrease the utility, satisfying quasi-concavity
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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.