mlsanityData to 14 Oct 2026

ChatGPT: Vision and Challenges

arXiv 2305.15323 ↗First posted 8 May 2023cs.CY cs.CLcited by 11

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Abstract (arXiv)

Artificial intelligence (AI) and machine learning have changed the nature of scientific inquiry in recent years. Of these, the development of virtual assistants has accelerated greatly in the past few years, with ChatGPT becoming a prominent AI language model. In this study, we examine the foundations, vision, research challenges of ChatGPT. This article investigates into the background and development of the technology behind it, as well as its popular applications. Moreover, we discuss the advantages of bringing everything together through ChatGPT and Internet of Things (IoT). Further, we speculate on the future of ChatGPT by considering various possibilities for study and development, such as energy-efficiency, cybersecurity, enhancing its applicability to additional technologies (Robotics and Computer Vision), strengthening human-AI communications, and bridging the technological gap. Finally, we discuss the important ethics and current trends of ChatGPT.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 5 of its 63 references that are in the map. First posted on arXiv 8 May 2023.

Builds on

5 of 63 references.

References · 5

  1. 2020CPM: A Large-scale Generative Chinese Pre-trained Language Modelcited by 60
  2. 2023ChatGPT and a New Academic Reality: Artificial Intelligence-Written Research Papers and the Ethics of the Large Language Models in Scholarly Publishingcited by 52
  3. 2023Mind meets machine: Unravelling GPT-4's cognitive psychologycited by 31
  4. 2021Institutionalising Ethics in AI through Broader Impact Requirementscited by 20
  5. 2022AI for Next Generation Computing: Emerging Trends and Future Directionscited by 13

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 5; 2024: 3; 2025: 2; 2026: 1.

11 papers.