Research report: Low-resource hallucination detection in LLMs on multi-task datasets via iterative pseudo-labeling using confidence thresholding and active learning
Researchers report a semi-supervised framework combining pseudo-labeling, active learning, and ensemble methods that detects fluent hallucinations in large language model ...
