Research3d ago
SELFDOUBT Quantifies LLM Uncertainty via Reasoning Traces
The Hedge-to-Verify Ratio (HVR) identifies uncertainty by analyzing behavioral signals within a model's reasoning trace. This single-pass framework bypasses the need for expensive sampling or hidden logits from proprietary APIs. SELFDOUBT allows practitioners to detect unreliable outputs without modifying model architecture. It solves a critical gap in monitoring reasoning LLMs during inference.