Aashrith Bandaru

Competence-Gated Pooling of Language Models and Priors for Event Forecasting

A competence gate is introduced that estimates domain-level source weights from resolved outcomes, shrinks uncertain estimates toward a global weight, and recalibrates the pooled forecast and provides a practical approach for selective model use based on measured marginal value.