# From ChatGPT, DALL-E 3 to Sora: How has Generative AI Changed Digital Humanities Research and Services?

**Authors:** Jiangfeng Liu, Ziyi Wang, Jing Xie, Lei Pei  
**arXiv:** [2404.18518](https://arxiv.org/abs/2404.18518)  
**Date:** 2024-04-29  
**Summary page:** https://www.summarizepaper.com/en/paper/2404.18518v1/

## Key points

- Generative large-scale language models represent the fifth paradigm of research by integrating data science and computational intelligence.
- These models revolutionize natural language processing and multimodal information processing, enabling AI-enabled social science research and digital humanities applications.
- The article emphasizes the importance of digital preservation for ancient book resources.
- Cutting-edge large-scale language models like ChatGPT have diverse applications in document management, content understanding, and cross-cultural research.
- AI can streamline tasks such as organizing, classifying, and generating content from ancient books through detailed case studies.
- AI technologies can foster artistic innovation and preserve cultural heritage by unlocking new possibilities for creative expression and safeguarding historical artifacts.
- The evolving landscape of digital humanities research is discussed in light of AI advancements, addressing both challenges and opportunities at the intersection of technology, information, and society.

## Summary

In their article titled "From ChatGPT, DALL-E 3 to Sora: How has Generative AI Changed Digital Humanities Research and Services? ", authors Jiangfeng Liu, Ziyi Wang, Jing Xie, and Lei Pei explore the transformative impact of generative large-scale language models on scientific research. These models represent the fifth paradigm of research by seamlessly integrating data science and computational intelligence. By revolutionizing natural language processing and multimodal information processing, they pave the way for AI-enabled social science research and offer innovative solutions for digital humanities applications. The article emphasizes the significance of ancient book resources and highlights the urgent need for their digital preservation. It then provides a comprehensive overview of cutting-edge large-scale language models like ChatGPT, showcasing their diverse applications in document management, content understanding, and cross-cultural research. Through detailed case studies, the authors demonstrate how AI can streamline tasks such as organizing, classifying, and generating content from ancient books. Furthermore, the article explores the potential of AI in fostering artistic innovation and preserving cultural heritage. By leveraging generative AI technologies, researchers can unlock new possibilities for creative expression while safeguarding valuable historical artifacts. The authors also address the evolving landscape of digital humanities research in light of AI advancements, discussing both the challenges and opportunities that arise from the intersection of technology, information, and society.