AEyeDE: An Attention-Based Attribution Framework for AI-Generated Text Detection
Researchers introduce AEyeDE, an attention-based attribution framework that detects AI-generated text by analyzing transformer model attention patterns rather than surface-level linguistic features. The method uses a lightweight CNN trained on attention maps from a proxy model and demonstrates strong performance across multiple settings, suggesting attention structures provide a reliable signal for distinguishing human from AI authorship.