Enhancing Presentation Slide Generation by LLMs with a Multi-Staged End-to-End Approach
<|reference_start|>Enhancing Presentation Slide Generation by LLMs with a Multi-Staged End-to-End Approach: 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.<|reference_end|>
@article{bandyopadhyay2024enhancing,
    title={Enhancing Presentation Slide Generation by LLMs with a Multi-Staged
  End-to-End Approach},
    author={Sambaran Bandyopadhyay, Himanshu Maheshwari, Anandhavelu Natarajan,
  Apoorv Saxena},
    journal={arXiv preprint arXiv:2406.06556},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.06556},
    primaryClass={cs.CL cs.AI}
}