Benchmarking Prompt Engineering Against Fine-Tuning for Multi-Label Vulnerability Detection in Solidity Smart Contracts: An Empirical Study
- DOI
- 10.1109/access.2026.3731743
- Published
- 2026
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/access.2026.3731743,
title = {Benchmarking Prompt Engineering Against Fine-Tuning for Multi-Label Vulnerability Detection in Solidity Smart Contracts: An Empirical Study},
author = {Badaruddin Chachar and Joao F. Ferreira and Marc Cavazza and Pietro Ferrara and Agostino Cortesi},
year = {2026},
journal = {IEEE Access},
doi = {10.1109/access.2026.3731743},
url = {https://doi.org/10.1109/access.2026.3731743}
}RIS
TY - JOUR TI - Benchmarking Prompt Engineering Against Fine-Tuning for Multi-Label Vulnerability Detection in Solidity Smart Contracts: An Empirical Study AU - Badaruddin Chachar AU - Joao F. Ferreira AU - Marc Cavazza AU - Pietro Ferrara AU - Agostino Cortesi PY - 2026 JO - IEEE Access DO - 10.1109/access.2026.3731743 UR - https://doi.org/10.1109/access.2026.3731743 ER -
APA
Chachar, B., Ferreira, J. F., Cavazza, M., Ferrara, P., & Cortesi, A. (2026). Benchmarking Prompt Engineering Against Fine-Tuning for Multi-Label Vulnerability Detection in Solidity Smart Contracts: An Empirical Study. IEEE Access. https://doi.org/10.1109/access.2026.3731743
Source records
- crossref · retrieved 2026-09-25T14:57:08.839Z