mlsanityData to 14 Oct 2026

Let's have a chat! A Conversation with ChatGPT: Technology, Applications, and Limitations

arXiv 2302.13817 ↗First posted 27 Feb 2023cs.CL cs.AIcited by 16

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Abstract (arXiv)

The emergence of an AI-powered chatbot that can generate human-like sentences and write coherent essays has caught the world's attention. This paper discusses the historical overview of chatbots and the technology behind Chat Generative Pre-trained Transformer, better known as ChatGPT. Moreover, potential applications of ChatGPT in various domains, including healthcare, education, and research, are highlighted. Despite promising results, there are several privacy and ethical concerns surrounding ChatGPT. In addition, we highlight some of the important limitations of the current version of ChatGPT. We also ask ChatGPT to provide its point of view and present its responses to several questions we attempt to answer.

Key facts. Cited by 16 papers in the map (data through 14 Oct 2026). Builds on 14 of its 71 references that are in the map. First posted on arXiv 27 Feb 2023.

Builds on

14 of 71 references.

References · 14

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2020Language Models are Few-Shot Learnerscited by 32,419
  3. 2020Extracting Training Data from Large Language Modelscited by 2,189
  4. 2023A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivitycited by 894
  5. 2023How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detectioncited by 481
  6. 2023Mathematical Capabilities of ChatGPTcited by 268
  7. 2021Design Guidelines for Prompt Engineering Text-to-Image Generative Modelscited by 218
  8. 2018The Design and Implementation of XiaoIce, an Empathetic Social Chatbotcited by 172
  9. 2023A Categorical Archive of ChatGPT Failurescited by 168
  10. 2023Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarizationcited by 122
  11. 2022ChatGPT: The End of Online Exam Integrity?cited by 88
  12. 2023Learning gain differences between ChatGPT and human tutor generated algebra hintscited by 43
2 more
  1. 2023ChatGPT and Software Testing Education: Promises & Perilscited by 42
  2. 2023Will ChatGPT get you caught? Rethinking of Plagiarism Detectioncited by 41

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Citing papers per year: 2023: 14; 2024: 1; 2025: 1.

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  1. 2023Generative Pre-trained Transformer: A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directionscited by 55
  2. 2023ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relationscited by 40
  3. 2023ChatGPT for Programming Numerical Methodscited by 26
  4. 2023On the Generalization of Training-based ChatGPT Detection Methodscited by 11
  5. 2023ChatGPT in the Age of Generative AI and Large Language Models: A Concise Surveycited by 10
  6. 2024Certifying Counterfactual Bias in LLMscited by 10
  7. 2023The Imitation Game: Detecting Human and AI-Generated Texts in the Era of ChatGPT and BARDcited by 9
  8. 2023The Adoption and Efficacy of Large Language Models: Evidence From Consumer Complaints in the Financial Industrycited by 8
  9. 2023Exploring the Use of ChatGPT as a Tool for Learning and Assessment in Undergraduate Computer Science Curriculum: Opportunities and Challengescited by 7
  10. 2023Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Modelscited by 4
  11. 2023Multilingual Natural Language Processing Model for Radiology Reports -- The Summary is all you need!cited by 1
  12. 2023Perceptions and Detection of AI Use in Manuscript Preparation for Academic Journalscited by 1
4 more
  1. 2025ChatGPT and U(X): A Rapid Review on Measuring the User Experiencecited by 1
  2. 2023LDEB -- Label Digitization with Emotion Binarization and Machine Learning for Emotion Recognition in Conversational Dialoguescited by 0
  3. 2023Nine-year-old children outperformed ChatGPT in emotion: Evidence from Chinese writingcited by 0
  4. 2023The potential of large language models for improving probability learning: A study on ChatGPT3.5 and first-year computer engineering studentscited by 0