Reading Right, Answering Wrong: How Visual Configuration Changes Affect Evidence Use in VLMs

Dingyang Lin, Yingfeng Luo, Chenglong Wang +4

Vision-language models (VLMs) have achieved strong performance on tasks such as visual question answering, yet small image resizes can turn correct answers into errors. We investig…