arxiv3d ago
Spotlights and Blindspots: Evaluating Machine-Generated Text Detection
arXiv:2604.16607v2 Announce Type: replace-cross Abstract: With the rise of generative language models, machine-generated text detection has become a critical challenge. A wide variety of models is available, but inconsistent datasets, evaluation metrics, and assessment strategies obscure comparisons