AnalysisAI ModelsSeptember 11, 2026

Competence-gated pooling blends LLM forecasts with external priors

Paper proposes a competence gate that estimates a language model's domain-level marginal value over external predictions before integrating its forecasts. Reported to improve hybrid forecasting accuracy, with the gate also driving forecast recalibration and abstention decisions.

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