Evaluating the effectiveness of open-weight LLMs for multi-domain Bengali text classification with zero-shot and few-shot prompting
- DOI
- 10.1371/journal.pone.0361368
- Published
- 2026-11-06
- Container
- PLOS One
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0361368,
title = {Evaluating the effectiveness of open-weight LLMs for multi-domain Bengali text classification with zero-shot and few-shot prompting},
author = {Md. Hamid Hosen and Sadia Nawar and Rituparna Chowdhury and Altaf Uddin and Riadul Islam Rabbi and Khair Razlan Othman and Nurul Karim Symon},
year = {2026},
journal = {PLOS One},
doi = {10.1371/journal.pone.0361368},
url = {https://doi.org/10.1371/journal.pone.0361368}
}RIS
TY - JOUR TI - Evaluating the effectiveness of open-weight LLMs for multi-domain Bengali text classification with zero-shot and few-shot prompting AU - Md. Hamid Hosen AU - Sadia Nawar AU - Rituparna Chowdhury AU - Altaf Uddin AU - Riadul Islam Rabbi AU - Khair Razlan Othman AU - Nurul Karim Symon PY - 2026 JO - PLOS One DO - 10.1371/journal.pone.0361368 UR - https://doi.org/10.1371/journal.pone.0361368 ER -
APA
Hosen, M. H., Nawar, S., Chowdhury, R., Uddin, A., Rabbi, R. I., Othman, K. R., & Symon, N. K. (2026). Evaluating the effectiveness of open-weight LLMs for multi-domain Bengali text classification with zero-shot and few-shot prompting. PLOS One. https://doi.org/10.1371/journal.pone.0361368
Source records
- crossref · retrieved 2026-11-08T18:04:24.486Z