Chao Yin, Quentin Cappart
and Gilles Pesant
Paper (2024)
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| Department: | Department of Computer Engineering and Software Engineering |
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| PolyPublie URL: | https://publications.polymtl.ca/58701/ |
| Conference Title: | 21st International Conference on Integration of Constraint Programming, Artificial Intelligence and Operations Research (CPAIOR 2024) |
| Conference Location: | Uppsala, Sweden |
| Conference Date(s): | 2024-05-28 - 2024-05-31 |
| Publisher: | Springer Nature |
| DOI: | 10.1007/978-3-031-60599-4_19 |
| Official URL: | https://doi.org/10.1007/978-3-031-60599-4_19 |
| Date Deposited: | 26 Jun 2024 12:51 |
| Last Modified: | 25 Sep 2024 16:51 |
| Cite in APA 7: | Yin, C., Cappart, Q., & Pesant, G. (2024, May). An Improved Neuro-Symbolic Architecture to Fine-Tune Generative AI Systems [Paper]. 21st International Conference on Integration of Constraint Programming, Artificial Intelligence and Operations Research (CPAIOR 2024), Uppsala, Sweden. https://doi.org/10.1007/978-3-031-60599-4_19 |
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