Selection-based prompting with synthesized candidates unlocks high-performance clinical abbreviation disambiguation via open-source LLMs.
- DOI
- 10.1016/j.jbi.2026.105085
- Published
- 2026 Sep
- Container
- Journal of biomedical informatics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jbi.2026.105085,
title = {Selection-based prompting with synthesized candidates unlocks high-performance clinical abbreviation disambiguation via open-source LLMs.},
author = {Wei S and Liu X and Shi Y},
year = {2026},
journal = {Journal of biomedical informatics},
doi = {10.1016/j.jbi.2026.105085},
url = {https://doi.org/10.1016/j.jbi.2026.105085}
}RIS
TY - JOUR TI - Selection-based prompting with synthesized candidates unlocks high-performance clinical abbreviation disambiguation via open-source LLMs. AU - Wei S AU - Liu X AU - Shi Y PY - 2026 JO - Journal of biomedical informatics DO - 10.1016/j.jbi.2026.105085 UR - https://doi.org/10.1016/j.jbi.2026.105085 ER -
APA
S, W., X, L., & Y, S. (2026). Selection-based prompting with synthesized candidates unlocks high-performance clinical abbreviation disambiguation via open-source LLMs.. Journal of biomedical informatics. https://doi.org/10.1016/j.jbi.2026.105085
Source records
- pubmed · retrieved 2026-09-25T19:10:55.313Z