Having AI agents debate and challenge each other reduces errors and improves risk-adjusted returns compared to using a single AI model.
Abstract
Explores the debate mechanism between opposing agents. The study finds that agent debate reduces hallucinations and improves risk-adjusted returns (Sortino/Sharpe ratios) compared to single-agent models.
