Med-R2: An Adversarial Benchmark for Evidence-Grounded Reasoning in Medical VLMs 事件

Med-R2: An Adversarial Benchmark for Evidence-Grounded Reasoning in Medical VLMs arXiv:2605.24492v1 Announce Type: new Abstract: Vision-language models have demonstrated impressive capabilities in general medical visual question answering, yet due to limited interpretability, it remains unclear whether their predictions reflect evidence-grounded clinical reasoning or reliance on spurious priors. We introduce Med-R2 Bench, a hierarchical benchmark aligned with the clinical workflow to evaluate a