Optimizing text-to-SQL conversion techniques through the integration of intelligent agents and large language models.
Samuel Ojuri|The Anh Han|Raymond Chiong|Alessandro Di Stefano
| Anthology ID: | DBLP:journals/ipm/OjuriHCS25 |
|---|---|
| Year: | 2025 |
| Venue: | Information Processing and Management |
| Pages: | 104136 |
| URL: | https://doi.org/10.1016/J.IPM.2025.104136 |
| DOI: | https://doi.org/10.1016/J.IPM.2025.104136 |
| DBLP: | journals/ipm/OjuriHCS25 |
| BibTeX: |
@article{ojuri-2025-optimizing,
author = {Samuel Ojuri and
The Anh Han and
Raymond Chiong and
Alessandro Di Stefano},
title = {{Optimizing text-to-SQL conversion techniques through the integration of intelligent agents and large language models}},
journal = {Information Processing and Management},
volume = {62},
number = {5},
pages = {104136},
year = {2025},
url = {https://doi.org/10.1016/J.IPM.2025.104136},
doi = {https://doi.org/10.1016/J.IPM.2025.104136}
}