  Generating presentation slides from a long document with multimodal elements
such as text and images is an important task. This is time consuming and needs
domain expertise if done manually. Existing approaches for generating a rich
presentation from a document are often semi-automatic or only put a flat
summary into the slides ignoring the importance of a good narrative. In this
paper, we address this research gap by proposing a multi-staged end-to-end
model which uses a combination of LLM and VLM. We have experimentally shown
that compared to applying LLMs directly with state-of-the-art prompting, our
proposed multi-staged solution is better in terms of automated metrics and
human evaluation.
