Abstract

This study presents a novel approach for automating the generation of presentation slides from academic research papers. We leverage Natural Language Processing (NLP) techniques, particularly a fine-tuned T5 transformer model, to streamline knowledge dissemination within the computer science domain. The model, trained on a custom dataset of research articles, extracts key information and transforms it into well-structured presentation slides. The T5 model's proficiency in text-to-text transfer tasks is enhanced through fine-tuning with domain-specific metrics. This approach enables the automatic conversion of research articles into concise and informative presentation slides. This research has the potential to significantly impact how technical information is summarized and communicated within the research community, fostering greater efficiency and clarity.