Entropy Corridor: Real-Time Hallucination Correction via Bidirectional Layer Constraints

LLMs hallucinate not because they are uncertain — but because they are overconfident. We introduce the Entropy Corridor, a non-invasive inference-time method that constrains layer-wise activation entropy within a bidirectional range. Unlike prior detection-only approaches, our method corrects hallucination in real time by targeting the specific layers where overconfidence originates. On TruthfulQA, the corridor halves hallucination rates while preserving truthfulness — at under 2% latency overhead, with no retraining required. https://x.com/elfatone82/status/2041258848992768289?s=46