Testing techniques to detect and quantify hallucinations in language models and generative systems, i.e., plausible but factually incorrect, invented, or unsupported outputs. Includes methodologies to evaluate factual accuracy, grounding, citation reliability, and the model’s tendency to generate false information with high confidence.