MARGIN is an online calibration technique using symmetric EWMA and Bayesian shrinkage that learns per-agent per-band factors from the task stream, cutting calibration error 3-6x versus design-time baselines and lifting multi-agent resolution from 45-56% to 70-89%.
Cooper, and Milos Hauskrecht
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MARGIN: Runtime Confidence Calibration for Multi-Agent Foundation Model Coordination
MARGIN is an online calibration technique using symmetric EWMA and Bayesian shrinkage that learns per-agent per-band factors from the task stream, cutting calibration error 3-6x versus design-time baselines and lifting multi-agent resolution from 45-56% to 70-89%.