A zero-shot prompt learning approach on fine-grained text classification.
- DOI
- 10.1038/s41598-025-34825-3
- Published
- 2026 Jan 14
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-34825-3,
title = {A zero-shot prompt learning approach on fine-grained text classification.},
author = {Zhang Z and Ge L and Hu R and Wang Y},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-025-34825-3},
url = {https://doi.org/10.1038/s41598-025-34825-3}
}RIS
TY - JOUR TI - A zero-shot prompt learning approach on fine-grained text classification. AU - Zhang Z AU - Ge L AU - Hu R AU - Wang Y PY - 2026 JO - Scientific reports DO - 10.1038/s41598-025-34825-3 UR - https://doi.org/10.1038/s41598-025-34825-3 ER -
APA
Z, Z., L, G., R, H., & Y, W. (2026). A zero-shot prompt learning approach on fine-grained text classification.. Scientific reports. https://doi.org/10.1038/s41598-025-34825-3
Source records
- pubmed · retrieved 2026-09-25T20:07:50.077Z