Presentation Generation

Automatic presentation generation aims to automate the creation of presentations from various input sources, such as long documents or computational notebooks, significantly reducing the time and effort required for this task. Current research focuses on leveraging large language models (LLMs) and other deep learning architectures, including graph neural networks and diffusion models, often in multi-stage pipelines to generate both textual content and visual elements like slides and background images, addressing the challenges of non-linear narratives and maintaining faithfulness to source material. This technology has the potential to improve efficiency for researchers, educators, and professionals across various fields by streamlining the communication of complex information.