许可证：apache-2.0
基础模型：

• liuhaotian/llava-v1.5-7b
  基础模型关系：微调
  任务标签：图像文本到文本
  标签：
• RRG
• 放射学报告生成
• 胸部X光
• 多模态大语言模型
  库名称：transformers
  数据集：
• StanfordAIMI/rrg24-shared-task-bionlp

Med-CXRGen-F 模型卡

任务：放射学报告生成——检查结果部分（RRG共享任务）

论文与资源

有关Med-CXRGen-F的详细信息，包括其架构、训练策略和评估，请参考以下资源：

• üìò 论文：Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation
• üíª 代码仓库：GitHub: Med-CXRGen

如何引用 ‚úíÔ∏è

如果您在学术或研究中使用此模型，请引用：

@inproceedings{zhang-etal-2024-gla,  
    title = "Gla-{AI}4{B}io{M}ed at {RRG}24: Visual Instruction-tuned Adaptation for Radiology Report Generation",  
    author = "Zhang, Xi  and  
      Meng, Zaiqiao  and  
      Lever, Jake  and  
      Ho, Edmond S.L.",  
    editor = "Demner-Fushman, Dina  and  
      Ananiadou, Sophia  and  
      Miwa, Makoto  and  
      Roberts, Kirk  and  
      Tsujii, Junichi",  
    booktitle = "Proceedings of the 23rd Workshop on Biomedical Natural Language Processing",  
    month = aug,  
    year = "2024",  
    address = "Bangkok, Thailand",  
    publisher = "Association for Computational Linguistics",  
    url = "https://aclanthology.org/2024.bionlp-1.54/",  
    doi = "10.18653/v1/2024.bionlp-1.54",  
    pages = "624--634",  
}