Reliable Fusion of Conflicting Experts
We study the problem of aggregating opinions from multiple black-box experts in noisy, conflict-prone settings where expert reliability varies across inputs. Static aggregation methods, such as majority voting, fail to capture this variability and often yield unreliable outcomes under disagreement. We propose a tractab...
Pranuthi Tenali, Sahil Sidheekh, Saurabh Mathur et al.
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