chart question-answering

Chartographer: Counterfactual Chart Generation for Evaluating Vision-Language Models

Chartographer is a framework for generating counterfactual chart variants to rigorously evaluate visual reasoning in vision-language models (VLMs), addressing the problem of shortcut-taking and prior knowledge exploitation in chart QA benchmarks. The system reverse-engineers charts into executable code, generates seed-controlled variants, and derives new ground-truth answers via executable QA logic. Evaluation of proprietary and open-source VLMs reveals that models frequently fail to generalize to counterfactual charts even after correctly answering the original, with failures most common when novel visual reasoning pathways are required.