HomeInternational Journal of Academic and Practical Researchvol. 2 no. 2 (2023)

Practical Techniques and Exemplars in Writing Research Articles Using Artificial Intelligence: On the Case and Perspective of ChatGPT and Other AI Language Models

Almighty C. Tabuena | Yvon Mae H. Tabuena

Discipline: Artificial Intelligence

 

Abstract:

The article discusses the importance of providing clear instructions when in teracting with AI language models, specifically ChatGPT, to achieve wellwritten and satisfying results. It advises starting conversations with specific in structions, mentioning the desired information or assistance. Additionally, it suggests specifying the preferred format or style of the response and asking for clarifications or requesting examples and explanations when needed. The article also highlights the benefits of AI language models in research article writing, such as generating introductions, formulating research questions, improving methodology sections, and enhancing discussion and conclusion sections. It emphasizes the importance of reviewing and refining the generated content and provides insights on enhanced writing assistance, language proficiency and style, and automated citation and referencing. Ethical considerations, including bias, plagiarism, transparency, and fairness, are also discussed. Lastly, it provides a framework for writing research articles using AI, including command considerations, planning the structure, AI-assisted writing, and review and editing, while considering ethical implications.



References:

  1. Abeysinghe, C., Herath, A., & Fernando, C. (2021). Improving Research Article Writing Using Artificial Intelligence. 16th International Conference on Industrial and Information Systems (ICIIS), 2021.
  2. Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the dangers of stochastic parrots: Can language models be too big? 2021 International Conference on AI Ethics and Society (AIES), 2021.
  3. Borrego-Jaraba, F., Lloret, E., & Palomar, M. (2022). Enhancing English Writing Skills for Non-Native Speakers with AI Language Models. 2022 IEEE Global Engineering Education Conference (EDUCON), 2022.
  4. Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., ... & Amodei, D. (2020). Language models are few-shot learners. Advances in neural information processing systems33, 1877-1901.
  5. Chen, L., Zhang, X., & Wang, L. (2019). Financial forecasting based on deep learning: A survey. International Journal of Financial Engineering, 6(03), 1950013.
  6. Cooper, H. (2015). Research synthesis and meta-analysis: A step-by-step approach (Vol. 2). Sage publications.
  7. Evans, J., Yarowsky, D., & Marcus, G. (2021). The Limitations of Deep Learning in Adversarial Settings. Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021.
  8. Fink, A. (2019). Conducting research literature reviews: From the internet to paper. Sage publications.
  9. Hart, C. (2018). Doing a literature review: Releasing the research imagination.
  10. Hendricks, V. F., Burns, J., Yang, K., Saatci, Y., Smith, N. A., & Bowman, S. R. (2020). Measuring Bias in Contextualized Word Representations. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020.
  11. Holtzman, A., Buys, J., Du, L., Forbes, M., & Choi, Y. (2019). The curious case of neural text degeneration. arXiv preprint arXiv:1904.09751.
  12. International Journal of Academic and Practical Research (2022). Author Guidelines. Academic Course Tutorial Online Education Inc.
  13. International Journal of Asian Education (2020). Authors Guidelines. Research and Education Development (READ) Institute & Faculty of Education and Teacher Training State Islamic Institute of Palopo.
  14. Johnson, R. T. (2019). Artificial intelligence in law: The state of play 2018. Artificial Intelligence and Law, 27(3), 273-292.
  15. Johnson, S. E., & Lee, S. Y. (2020). Financial forecasting with deep learning: A systematic literature review. Expert Systems with Applications, 160, 113661.
  16. Kim, K. H., Kim, M. S., Park, M. S., & Kim, H. G. (2019). ChatGPT: Generative pre-trained transformer with history conditioning for response generation. arXiv preprint arXiv:1911.05709.
  17. Li, Z., & Wang, Y. (2021). Non-linear financial forecasting with deep learning: A systematic literature review. Journal of Forecasting, 40(4), 650-672.
  18. Patel, H., & Gupta, V. (2022). E-commerce chatbots: A review, taxonomy, and future directions. Electronic Commerce Research and Applications, 55, 101375.
  19. Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., & Sutskever, I. (2019). Language models are unsupervised multitask learners. OpenAI blog1(8), 9.
  20. Rodriguez, P., Carvalho, B. C., & dos Santos, C. N. (2020). Explainability in legal AI: A literature review. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (pp. 5716-5729).
  21. Tabuena, A. C., Hilario, Y. M. C., & Buenaflor, M. P. (2021a). Understanding the Nature, Characteristics, and Ethics of Inquiry and Research for Beginning Practical Research Students. International Journal on Integrated Education4(3), 144-152.
  22. Tabuena, A. C., Hilario, Y. M. C., & Buenaflor, M. P. (2021b). Overview and exemplar components of the research methodology on the research writing process for senior high school students. International Journal of Trend in Scientific Research and Development5(3), 117-126.
  23. Tabuena, A. C., & Hilario, Y. M. C. (2021). Research data analysis methods in addressing the K-12 learning competency on data analysis procedures among senior high school research courses. International Journal of Recent Research and Applied Studies8(3), 1.
  24. Tabuena, A. C. (2021a). Preliminary methods and illustrative examples in formulating the research frameworks on the research writing process for senior high school students. International Journal of Advance Research and Innovative Ideas in Education7(1), 8-15.
  25. Tabuena, A. C. (2021b). Demonstrative process on the use of research abstracts in writing the literature review for senior high school students. International Journal of Multidisciplinary Research and Explorer1(3), 1-6.
  26. Tabuena, A. C. (2020). Identifying and stating the problem through the use of a research outline proposal in the research writing process. International Journal for Innovative Research in Multidisciplinary Field6(12), 60-64.
  27. Tenopir, C., Collins, E., & Chew, H. (2020). The Evolving Scholarly Communication Landscape: AI-Assisted Writing. Association for Information Science and Technology (ASIS&T) Annual Meeting, 2020.
  28. The Normal Lights (2022). Instruction to Authors for TNL Journal. Philippine Normal University.
  29. Thompson, L. C., & Anderson, K. (2020). Legal tech adoption in the global legal industry. In Proceedings of the 53rd Hawaii International Conference on System Sciences.
  30. Wang, F., & Smith, N. A. (2021). Irony detection in English legal text. Artificial Intelligence and Law, 29(2), 207-226.