首个大规模3D脑MRI视觉问答基准，覆盖5大临床领域，推动医学影像AI理解突破。
arXiv:2605.20525v1 Announce Type: cross Abstract: We present NeuroQA, a large-scale benchmark for visual question answering in 3D brain magnetic reson…
首个专为脑肿瘤MRI解读打造的VQA数据集，助力医学影像AI研究新基准。
arXiv:2605.17140v1 Announce Type: cross Abstract: Brain tumor diagnosis is largely dependent on Magnetic Resonance Imaging (MRI) evaluation, which req…
评估大模型在孟加拉语医学视觉问答上的表现，首个专用数据集与基准测试，填补低资源语言医疗AI空白。
arXiv:2605.18111v1 Announce Type: new Abstract: Recent advancements in Large Language Models (LLMs) and Large Vision Language Models (LVLMs) have enab…
首个多间隔胸片纵向推理基准，填补医学视觉问答在时序评估上的空白。
arXiv:2605.15574v1 Announce Type: new Abstract: Longitudinal chest X-ray (CXR) interpretation requires reasoning over disease evolution across multipl…
选择性预测遇上视觉证据打分！SIEVES让多模态大模型在零样本领域外基准上覆盖率提升3倍，且无需模型内部信号，闭源模型也能直接用——这才是可靠部署的真正解法。
arXiv:2604.25855v2 Announce Type: replace-cross Abstract: Multimodal large language models (MLLMs) achieve ever-stronger performance on visual-languag…