Svetlozar T. Rachev

Martingale Doppelgänger-Eval: A Specification-Driven Interventional Audit Algorithm for Visual Evidence Use in Vision–Language Models

Assessing chart understanding requires distinguishing responses to local visual evidence from associations with a chart’s overall shape. We present Martingale Doppelgänger-Eval, an interventional audit framework that connects executable edit specifications to benchmark generation, validity checks and response estimatio...