InfectA-Chat, an Arabic Large Language Model for Infectious Diseases: Comparative Analysis
Our findings highlight the shortcomings of general Arabic LLMs in providing up-to-date information about infectious diseases. With this study, we aim to empower individuals and public health efforts by offering a bilingual Q&A system for infectious disease monitoring.
Authors
- Insung Ahn (ORCID: https://orcid.org/0000-0003-1171-1206)
- Eunhui Kim (ORCID: https://orcid.org/0000-0001-7775-3172)
- Yesim Selcuk (ORCID: https://orcid.org/0009-0006-9689-1398)
Institutions
- Korea Institute of Science & Technology Information (KR)
- Korea University of Science and Technology (KR)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2024-12-10
- DOI
- https://doi.org/10.2196/63881
- Citations
- 2
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.69