The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Large language models and the perils of their hallucinations
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Why Johnny Can’t Prompt: How Non-AI Experts Try (and Fail) to Design LLM Prompts
Zamfirescu-Pereira, J. D., Wong, R. Y., Hartmann, B., & Yang, Q. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581388 · Cited by 1,274
Cited by
Generative AI and ChatGPT: applications, challenges, and AI-human collaboration
Fui-Hoon Nah, F., Zheng, R., Cai, J., Siau, K., & Chen, L. (2023) · Journal of Information Technology Case and Application Research · doi:10.1080/15228053.2023.2233814 · Cited by 1,363
A study of generative large language model for medical research and healthcare
Peng, C., Yang, X., Chen, A., Smith, K. E., PourNejatian, N., Costa, A. B., Martin, C., Flores, M. G., Zhang, Y., Magoc, T., et al. (2023) · npj Digital Medicine · doi:10.1038/s41746-023-00958-w · Cited by 408
Generative AI Literacy: Twelve Defining Competencies
Annapureddy, R., Fornaroli, A., & Gatica-Perez, D. (2025) · Digital Government: Research and Practice · doi:10.1145/3685680 · Cited by 333
Omar, M., Sorin, V., Collins, J. D., Reich, D., Freeman, R., Gavin, N., Charney, A., Stump, L., Bragazzi, N. L., Nadkarni, G. N., et al. (2025) · Communications Medicine · doi:10.1038/s43856-025-01021-3 · Cited by 204
How AI can distort human beliefs
Kidd, C., & Birhane, A. (2023) · Science · doi:10.1126/science.adi0248 · Cited by 151
Metadata
- Authors
- Azamfirei, R., Kudchadkar, S. R., & Fackler, J.
- Venue
- Critical Care
- Published
- 2023-03-21
- Volume
- 27
- Issue
- 1
- Pages
- 120-120
- ISSN
- 1364-8535 (ISSN-L)
- OpenAlex
- W4353015365
- Cited by
- 323
- References
- 1
- FWCI
- 11.14
- Type
- journal article
- Language
- en
- Open access
- gold
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- The paper
- Azamfirei, R., Kudchadkar, S. R., & Fackler, J. (2023). Large language models and the perils of their hallucinations. Critical Care. https://doi.org/10.1186/s13054-023-04393-x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.