Enhancing Presentation Slide Generation by LLMs with a Multi-Staged End-to-End Approach

Sambaran Bandyopadhyay; Himanshu Maheshwari; Anandhavelu Natarajan; Apoorv Saxena

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arXiv · 2406.06556

Enhancing Presentation Slide Generation by LLMs with a Multi-Staged End-to-End Approach

Sambaran Bandyopadhyay·Himanshu Maheshwari·Anandhavelu Natarajan·Apoorv Saxena

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Abstract

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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Sambaran Bandyopadhyay, Himanshu Maheshwari, Anandhavelu Natarajan, Apoorv Saxena. 2024-06-01. Enhancing Presentation Slide Generation by LLMs with a Multi-Staged End-to-End Approach. https://arxiv.org/abs/2406.06556

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