 no existing datasets are available for this task,
we propose a multimodal pseudo-labeling method to construct high-quality
datasets at low cost. We first collect documents that contain multiple images
with their captions, and their summaries by excluding factually inconsistent
instances. Our approach selects one image from the multiple images accompanying
the documents. Using the gold summary, we independently rank both the images
and their captions. Then, we annotate a pseudo-label for an image when both 