The DOI matches its Crossref record.
ChatGPT: not all languages are equal
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In the citing paper
“Additionally, GPT-3.5 exhibits a decline in NLP proficiency in non-English languages relative to English [20].”
From Performance of GPT-3.5 and GPT-4 on the Japanese Medical Licensing Examination: Comparison Study (2023) · cites this paper as [20]
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Items 101–107 of 107
Rossettini, G., Rodeghiero, L., Corradi, F., Cook, C., Pillastrini, P., Turolla, A., Castellini, G., Chiappinotto, S., Gianola, S., & Palese, A. (2024) · Figshare · doi:10.6084/m9.figshare.26739495
Rossettini, G., Rodeghiero, L., Corradi, F., Cook, C., Pillastrini, P., Turolla, A., Castellini, G., Chiappinotto, S., Gianola, S., & Palese, A. (2024) · Figshare · doi:10.6084/m9.figshare.26739501
Foster, A. K., Price, N. J., Brown, V. L., & Reed, S. T. (2022) · Annals of Pharmacy Education Safety and Public Health Advocacy · doi:10.51847/bmvkzqucsz
ChatGPT accessibility and audit quality: Evidence from a quasi-natural experiment in China
Du, X., Zhang, X., & Lai, S. (2026) · The British Accounting Review · doi:10.1016/j.bar.2026.101950 · Cited by 2
Oh, E., Wu, A. W., Garcia‐Rodriguez, L. R., Huang, Z., Hsu, W., Kim, J., Kim, Y. C., Lin, Y., Park, H. C., Perez, H. A., et al. (2026) · World Journal of Otorhinolaryngology - Head and Neck Surgery · doi:10.1002/wjo2.70153
“While multilingual in training, ChatGPT is more fluent when generating in English than in other languages [7].”
Raju, K. V., Sathvika, A., & Nori, L. P. (2026) · Letters in Applied NanoBioScience · doi:10.33263/lianbs152.082
“…as a defining feature of AI-based decision-making and recommendations (i.e., how the output is being derived from the input—the "black-box issue"), and an excessive reliance on the output from AI-driven technologies (also known as "automation bias") are a few examples of ethical issues [105].”
Duțu, A., Ives, B., Georgescu, B.-G., Dumitru, I., & Ferretti, S. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-33581-4_24
Metadata
- Authors
- Seghier, M. L.
- Affiliations
- Khalifa University of Science and Technology (AE)
- Corresponding author
- Seghier, Mohamed L.
- ORCID
- Seghier, Mohamed L.
- Venue
- Nature
- Published
- 2023-03-07
- Volume
- 615
- Issue
- 7951
- Pages
- 216-216
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W4323360926
- Cited by
- 108
- References
- 0
- Citations by year
- 2026: 9 · 2025: 23 · 2024: 41 · 2023: 34
- FWCI
- 10.09
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Keywords
- ChatGPT, large language models, language bias, multilingual language models, language inequality
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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