1. Alkaissi, H., & McFarlane, S. I. (2023). Artificial hallucinations
in ChatGPT: Implications in scientific writing. Cureus, 15(2)
10.7759/cureus.35179
36811129
PMC9939079
2. Bang, J. (2020). The comparison of metacognitive awareness of reading
strategy use among gifted learners in science, mathematics, and general
middle school learners during english reading. Studies in English Language
& Literature, 46(1), 125-145
3. Bang, Y., Cahyawijaya, S., Lee, N., Dai, W., Su, D., Wilie, B.,
Lovenia, H., Ji, Z., Yu, T., Chung, W., V. Do, Q., Xu, Y., & Fung, P.
(2023). A multitask, multilingual, multimodal evaluation of chatgpt on
reasoning, hallucination, and interactivity. arXiv preprint
arXiv:2302.04023
10.18653/v1/2023.ijcnlp-main.45
37752793
PMC11016632
4. Bengio, Y., Ducharme, R., Vincent, P., & Jauvin, C. (2003). A
neural probabilistic language model. Journal of Machine Learning Research,
3, 1137-1155
5. Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal,
P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., Agarwal, S.,
Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh, A., Ziegler,
D., Wu, J., Winter, C., Hesse, C., Chen, M., Sigler, E., Litwin, M., Gray,
S., Chess, B., Clark, J., Berner, C., McCandlish, S., Radford, A.,
Sutskever, I., & Amodei, D. (2020). Language models are few-shot
learners. Advances in Neural Information Processing Systems, 33,
1877-1901