Is not misalignment between the images and the expert model?

[JXQI]

In the expert model section, there appears to be a misalignment between the images and the expert model. When invoking the expert model, it tends to use more fixed sentence structures rather than being strongly correlated with the images.
examples:
promt:
Here is a list of available expert models:
<BRATS(args)> Modality: MRI, Task: segmentation, Overview: A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data, Accuracy: Tumor core (TC): 0.8559 - Whole tumor (WT): 0.9026 - Enhancing tumor (ET): 0.7905 - Average: 0.8518, Valid args are: None
<VISTA3D(args)> Modality: CT, Task: segmentation, Overview: domain-specialized interactive foundation model developed for segmenting and annotating human anatomies with precision, Accuracy: 127 organs: 0.792 Dice on average, Valid args are: 'everything', 'hepatic tumor', 'pancreatic tumor', 'lung tumor', 'bone lesion', 'organs', 'cardiovascular', 'gastrointestinal', 'skeleton', or 'muscles'
<VISTA2D(args)> Modality: cell imaging, Task: segmentation, Overview: model for cell segmentation, which was trained on a variety of cell imaging outputs, including brightfield, phase-contrast, fluorescence, confocal, or electron microscopy, Accuracy: Good accuracy across several cell imaging datasets, Valid args are: None
<CXR(args)> Modality: chest x-ray (CXR), Task: classification, Overview: pre-trained model which are trained on large cohorts of data, Accuracy: Good accuracy across several diverse chest x-rays datasets, Valid args are: None
Give the model <NAME(args)> when selecting a suitable expert model.
These are different MRI modalities.What glioma grade is shown in the image?

output: