论文ICLR 2026 Poster2026 年Medical multimodal AI

AttTok：将属性 token 与生成式预训练视觉语言模型结合用于医学图像理解

ICLR 2026 poster introducing AttTok, a medical vision-language method that uses predefined attribute tokens and attribute-centric mechanisms to improve medical image understanding, including classification and visual question answering.

医学影像计算医疗多模态临床语言智能论文 ICLR 2026 medical generative pre-trained models medical multimodal alignment medical VQA instruction tuning

论文详情

英文标题: AttTok: Marrying Attribute Tokens with Generative Pre-trained Vision-Language Models towards Medical Image Understanding
作者: Hualiang Wang, Xinyue Xu, Lehan Wang, Bin Pu, Xiaomeng Li
期刊/会议: ICLR 2026 Poster
发表年份: 2026 年
研究方向: Medical multimodal AI