Enhancing Presentation Slide Generation By Llms With A Multi-staged End-to-end Approach
Bandyopadhyay Sambaran, Maheshwari Himanshu, Natarajan Anandhavelu, Saxena Apoorv. Arxiv 2024
[Paper]
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.
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