Papers with multimodal attention model

2 papers
MSMO: Multimodal Summarization with Multimodal Output (D18-1)

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Challenge: Existing studies show that multimodal summarization can improve user satisfaction for informativeness of summaries by using information in visual modality.
Approach: They propose a task to generate text and select the most relevant image from the multimodal input and a novel multimodal automatic evaluation method to evaluate multimodal outputs.
Outcome: The proposed method improves user satisfaction by 12.4% compared to the current system .
Longform Multimodal Lay Summarization of Scientific Papers: Towards Automatically Generating Science Blogs from Research Articles (2024.lrec-main)

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Challenge: Science blogs and lay-speak are critical to communicating scientific information to the general public and policymakers.
Approach: They propose to use presentation transcripts and slides to generate a scientific blog from a research article in layperson's terms.
Outcome: The proposed approach can generate a blog text and select the most relevant figures to explain a research article in layperson’s terms, essentially a science blog.

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