The Digital Dunning-Kruger Effect: Decoupling Hallucinations via Geometric Hidden-state Observation for Semantic Truthfulness
GHOST is proposed, an efficient white-box framework for hallucination detection in LLMs that primarily target confused hallucinations marked by internal reasoning instability, while also capturing stub-born hallucinations characterized by premature layer-wise convergence as a complementary signal.