探索视频多模态大模型对人类运动推理能力的极限，最新基准测试揭示关键短板。
arXiv:2606.27999v1 Announce Type: new Abstract: Despite the rapid advance of Multimodal Large Language Models (MLLMs) in high-level video understandin…
新基准用报告自动生成肿瘤学VQA任务，填补3D医学影像评估空白，推动视觉语言模型临床落地。
arXiv:2606.02809v1 Announce Type: new Abstract: Evaluating vision-language models (VLMs) on medical images requires benchmarks that are clinically gro…
首个全面评估多模态大模型对机械图纸理解的基准MechVQA，揭示现有模型短板并提出增强方案
arXiv:2605.30794v1 Announce Type: cross Abstract: Multimodal Large Language Models (MLLMs) have demonstrated significant achievements in general visua…
无需训练的病理AI智能体，用惊喜机制引导扫描并共享切片记忆，精准回答全切片图像问题。
arXiv:2605.23559v1 Announce Type: cross Abstract: Whole-slide image visual question answering (WSI-VQA) frames pathology as an extreme-context search …
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…