E. Kong

The Lifecycle of LLM-as-a-Judge for Large-Scale Recommendation Explanations

This work argues that an LLM judge running in a production system is better understood as having a lifecycle: it must be built, trained, deployed, and continuously maintained as the surrounding data evolves, and each phase poses distinct technical and operational challenges.