PLACO: A Multi-Stage Framework for Cost-Effective Performance in Human-AI Teams

PLACO is a multi-stage framework designed for cost-effective performance in Human-AI teams, particularly for classification tasks. The paper addresses the crucial combination of human and model output, building upon prior work that used Bayes rule.