SearchJev Provides Fast Calibrated Decisions for Search Agents
October 3, 2026
SearchJev is a System-1 model that scores search options directly without autoregressive generation, reducing latency and unreliability. It uses Soft-Label Learning for Calibrated Decisions (SLCD) to delegate uncertain judgments to a higher-reasoning System-2.
HOW THIS AFFECTS YOU
●
builderYou can significantly reduce latency in search agents by using a fast, non-generative decision layer.