Research2d ago
Detecting Hallucinations Via Internal Model Activations
A new framework uses a 15,000-sample dataset from SQuAD v2 to distill external grounding signals directly into transformer representations. By combining substring matching and LLM judges, the system identifies hallucinations using internal activations alone. This removes the need for retrieval systems or auxiliary models during inference, streamlining real-time reliability checks.