mlsanityData to 7 Oct 2026

ChatGPT: The End of Online Exam Integrity?

arXiv 2212.09292 ↗First posted 19 Dec 2022cs.AI cs.CLcited by 88

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Abstract (arXiv)

This study evaluated the ability of ChatGPT, a recently developed artificial intelligence (AI) agent, to perform high-level cognitive tasks and produce text that is indistinguishable from human-generated text. This capacity raises concerns about the potential use of ChatGPT as a tool for academic misconduct in online exams. The study found that ChatGPT is capable of exhibiting critical thinking skills and generating highly realistic text with minimal input, making it a potential threat to the integrity of online exams, particularly in tertiary education settings where such exams are becoming more prevalent. Returning to invigilated and oral exams could form part of the solution, while using advanced proctoring techniques and AI-text output detectors may be effective in addressing this issue, they are not likely to be foolproof solutions. Further research is needed to fully understand the implications of large language models like ChatGPT and to devise strategies for combating the risk of cheating using these tools. It is crucial for educators and institutions to be aware of the possibility of ChatGPT being used for cheating and to investigate measures to address it in order to maintain the fairness and validity of online exams for all students.

Key facts. Cited by 88 papers in the map (data through 7 Oct 2026). Builds on 4 of its 79 references that are in the map. First posted on arXiv 19 Dec 2022.

Builds on

4 of 79 references.

References · 4

  1. 2017Attention Is All You Needcited by 59,932
  2. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,302
  3. 2022Can large language models reason about medical questions?cited by 194
  4. 2022Faithful Reasoning Using Large Language Modelscited by 130

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 51; 2024: 24; 2025: 8; 2026: 5.

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  1. 2023A Survey of Large Language Modelscited by 2,537
  2. 2023A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivitycited by 888
  3. 2023How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detectioncited by 472
  4. 2023ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPTcited by 250
  5. 2023On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspectivecited by 208
  6. 2023ChatGPT: Jack of all trades, master of nonecited by 204
  7. 2023ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learningcited by 203
  8. 2024Large Language Models for Education: A Survey and Outlookcited by 185
  9. 2023A Categorical Archive of ChatGPT Failurescited by 167
  10. 2023Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Modelscited by 152
  11. 2023Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Surveycited by 134
  12. 2023Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulnesscited by 130
38 more
  1. 2023AugGPT: Leveraging ChatGPT for Text Data Augmentationcited by 128
  2. 2023The Science of Detecting LLM-Generated Textscited by 126
  3. 2023A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasetscited by 123
  4. 2023A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directionscited by 101
  5. 2023MGTBench: Benchmarking Machine-Generated Text Detectioncited by 90
  6. 2023ChatGPT is not all you need. A State of the Art Review of large Generative AI modelscited by 85
  7. 2024Detecting Multimedia Generated by Large AI Models: A Surveycited by 73
  8. 2024A Complete Survey on LLM-based AI Chatbotscited by 71
  9. 2023ChatGPT: A Meta-Analysis after 2.5 Monthscited by 50
  10. 2024NegotiationToM: A Benchmark for Stress-testing Machine Theory of Mind on Negotiation Surroundingcited by 49
  11. 2023ChatCounselor: A Large Language Models for Mental Health Supportcited by 44
  12. 2024Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactionscited by 43
  13. 2023ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relationscited by 39
  14. 2024DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarioscited by 37
  15. 2023In ChatGPT We Trust? Measuring and Characterizing the Reliability of ChatGPTcited by 35
  16. 2024Tokenization Matters! Degrading Large Language Models through Challenging Their Tokenizationcited by 32
  17. 2023Beyond Privacy: Navigating the Opportunities and Challenges of Synthetic Datacited by 29
  18. 2024LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detectioncited by 25
  19. 2024Adaptive Ensembles of Fine-Tuned Transformers for LLM-Generated Text Detectioncited by 22
  20. 2023AI vs. Human -- Differentiation Analysis of Scientific Content Generationcited by 21
  21. 2024Evaluating and Enhancing LLMs Agent based on Theory of Mind in Guandan: A Multi-Player Cooperative Game under Imperfect Informationcited by 20
  22. 2024Mapping the Ethics of Generative AI: A Comprehensive Scoping Reviewcited by 19
  23. 2023Transformative Effects of ChatGPT on Modern Education: Emerging Era of AI Chatbotscited by 18
  24. 2023From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscapecited by 18
  25. 2024Assessing AI Detectors in Identifying AI-Generated Code: Implications for Educationcited by 18
  26. 2024ECon: On the Detection and Resolution of Evidence Conflictscited by 18
  27. 2023Let's have a chat! A Conversation with ChatGPT: Technology, Applications, and Limitationscited by 16
  28. 2023Unlocking the Potential of ChatGPT: A Comprehensive Exploration of its Applications, Advantages, Limitations, and Future Directions in Natural Language Processingcited by 11
  29. 2023Self-Consistent Narrative Prompts on Abductive Natural Language Inferencecited by 11
  30. 2024Online Detection of LLM-Generated Texts via Sequential Hypothesis Testing by Bettingcited by 11
  31. 2023Performance of ChatGPT on USMLE: Unlocking the Potential of Large Language Models for AI-Assisted Medical Educationcited by 10
  32. 2023ChatGPT in the Age of Generative AI and Large Language Models: A Concise Surveycited by 10
  33. 2024Hidding the Ghostwriters: An Adversarial Evaluation of AI-Generated Student Essay Detectioncited by 10
  34. 2023Better by you, better than me, chatgpt3 as writing assistance in students essayscited by 8
  35. 2023Scamming the Scammers: Using ChatGPT to Reply Mails for Wasting Time and Resourcescited by 8
  36. 2023Can Large Language Models assist in Hazard Analysis?cited by 8
  37. 2023Public Perceptions of Gender Bias in Large Language Models: Cases of ChatGPT and Erniecited by 8
  38. 2023Exploring the Use of ChatGPT as a Tool for Learning and Assessment in Undergraduate Computer Science Curriculum: Opportunities and Challengescited by 7

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