LLM Prompting Versus Fine-Tuning PLMs: A Comparative Study on Keyword Generation from Customer Feedback
- DOI
- 10.1007/978-3-031-63215-0_7
- Published
- 2024
- Container
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer Nature Switzerland
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-031-63215-0_7,
title = {LLM Prompting Versus Fine-Tuning PLMs: A Comparative Study on Keyword Generation from Customer Feedback},
author = {Aleyna Er and Banu Diri and Meltem Turhan Yöndem},
year = {2024},
journal = {IFIP Advances in Information and Communication Technology},
doi = {10.1007/978-3-031-63215-0_7},
url = {https://doi.org/10.1007/978-3-031-63215-0_7}
}RIS
TY - JOUR TI - LLM Prompting Versus Fine-Tuning PLMs: A Comparative Study on Keyword Generation from Customer Feedback AU - Aleyna Er AU - Banu Diri AU - Meltem Turhan Yöndem PY - 2024 JO - IFIP Advances in Information and Communication Technology DO - 10.1007/978-3-031-63215-0_7 UR - https://doi.org/10.1007/978-3-031-63215-0_7 ER -
APA
Er, A., Diri, B., & Yöndem, M. T. (2024). LLM Prompting Versus Fine-Tuning PLMs: A Comparative Study on Keyword Generation from Customer Feedback. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-031-63215-0_7
Source records
- crossref · retrieved 2026-11-07T05:53:18.840Z