Signed Lexical Confidence for Risk-Calibrated Intent Routing
The research introduces a method called selective intent routing that uses a signed lexical gate to improve risk-calibrated decision-making. It combines semantic margin with sparse word/character features to create a single confidence score. This score allows the system to better estimate correctness and select reliable predictions, leading to improved error ranking and higher accepted coverage across several benchmarks.