Decision Without Generation: Benchmarking a Calibrated Non-Generative Decision Model Against LLM Judges on Moderation, Hallucination, NLI and Prompt-Injection Tasks
Large language models (LLMs) are widely used as judges for content moderation, hallucination detection and prompt-injection filtering, although they are slow, expensive and poorly calibrated when asked to verbalise probabilities. We evaluate a different design point: a commercially served decision-only model (typesafe/...