mlsanityData to 7 Oct 2026

Unlocking the Potential of ChatGPT: A Comprehensive Exploration of its Applications, Advantages, Limitations, and Future Directions in Natural Language Processing

arXiv 2304.02017 ↗First posted 27 Mar 2023cs.CLcited by 11

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Abstract (arXiv)

Large language models, pivotal in artificial intelligence, find diverse applications. ChatGPT (Chat Generative Pre-trained Transformer), an OpenAI creation, stands out as a widely adopted, powerful tool. It excels in chatbots, content generation, language translation, recommendations, and medical applications, due to its ability to generate human-like responses, comprehend natural language, and adapt contextually. Its versatility and accuracy make it a potent force in natural language processing (NLP). Despite successes, ChatGPT has limitations, including biased responses and potential reinforcement of harmful language patterns. This article offers a comprehensive overview of ChatGPT, detailing its applications, advantages, and limitations. It also describes the main advancements from GPT-3 to GPT-4 Omni, comparing them with other LLMs like LLaMA 3, Gemini and Deepseek. The paper underscores the ethical imperative when utilizing this robust tool in practical settings. Furthermore, it contributes to ongoing discussions on artificial intelligence's impact on vision and NLP domains, providing insights into prompt engineering techniques.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 37 of its 182 references that are in the map. First posted on arXiv 27 Mar 2023.

Builds on

37 of 182 references.

References · 37

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25 more
  1. 2020GLU Variants Improve Transformercited by 1,724
  2. 2019Root Mean Square Layer Normalizationcited by 1,425
  3. 2022GPT-NeoX-20B: An Open-Source Autoregressive Language Modelcited by 711
  4. 2019Fast Transformer Decoding: One Write-Head is All You Needcited by 700
  5. 2023A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPTcited by 612
  6. 2023Is ChatGPT a General-Purpose Natural Language Processing Task Solver?cited by 486
  7. 2023A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPTcited by 364
  8. 2023A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPTcited by 221
  9. 2023Is ChatGPT better than Human Annotators? Potential and Limitations of ChatGPT in Explaining Implicit Hate Speechcited by 165
  10. 2022A Survey on Retrieval-Augmented Text Generationcited by 157
  11. 2023Towards Making the Most of ChatGPT for Machine Translationcited by 138
  12. 2020To be Robust or to be Fair: Towards Fairness in Adversarial Trainingcited by 137
  13. 2022ChatGPT: The End of Online Exam Integrity?cited by 88
  14. 2023Extracting Accurate Materials Data from Research Papers with Conversational Language Models and Prompt Engineeringcited by 86
  15. 2023A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?cited by 84
  16. 2023Chat2VIS: Generating Data Visualisations via Natural Language using ChatGPT, Codex and GPT-3 Large Language Modelscited by 58
  17. 2023Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?cited by 54
  18. 2023ChatGPT and a New Academic Reality: Artificial Intelligence-Written Research Papers and the Ethics of the Large Language Models in Scholarly Publishingcited by 51
  19. 2023Learning gain differences between ChatGPT and human tutor generated algebra hintscited by 42
  20. 2023ChatGPT for Programming Numerical Methodscited by 26
  21. 2023How Generative AI models such as ChatGPT can be (Mis)Used in SPC Practice, Education, and Research? An Exploratory Studycited by 16
  22. 2023Dr ChatGPT, tell me what I want to hear: How prompt knowledge impacts health answer correctnesscited by 15
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  24. 2023Maximizing Penetration Testing Success with Effective Reconnaissance Techniques using ChatGPTcited by 5
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Cited by year

Citing papers per year: 2023: 6; 2024: 2; 2025: 3.

11 papers.

  1. 2023Using Large Language Models for Hyperparameter Optimizationcited by 71
  2. 2023Foundation Metrics for Evaluating Effectiveness of Healthcare Conversations Powered by Generative AIcited by 32
  3. 2024Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challengescited by 28
  4. 2023Fairness of ChatGPTcited by 19
  5. 2023ChatGPT in the Age of Generative AI and Large Language Models: A Concise Surveycited by 10
  6. 2025Irony Detection, Reasoning and Understanding in Zero-shot Learningcited by 5
  7. 2025An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3cited by 2
  8. 2023Analyzing the Performance of ChatGPT in Cardiology and Vascular Pathologiescited by 1
  9. 2023Using Large Language Models to Automate Category and Trend Analysis of Scientific Articles: An Application in Ophthalmologycited by 1
  10. 2024Sentiment Analysis of Citations in Scientific Articles Using ChatGPT: Identifying Potential Biases and Conflicts of Interestcited by 0
  11. 2025From Divergence to Consensus: Evaluating the Role of Large Language Models in Facilitating Agreement through Adaptive Strategiescited by 0