Research3d ago
Selfdoubt Framework Quantifies LLM Reasoning Uncertainty
The Hedge-to-Verify Ratio identifies uncertainty by analyzing behavioral signals within a model's reasoning trace. This single-pass method bypasses the need for expensive sampling or hidden logits from proprietary APIs. It provides a reliable signal for practitioners to detect unreliable outputs. This approach solves a critical gap in monitoring reasoning LLMs during real-time inference.