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Chase, \u201cLangchain: Building applications with large language\nmodels,\u201d 2023. [Online]. Available: https:\/\/github.com\/langchain-ai\/langchain"},{"key":"ref6","doi-asserted-by":"crossref","unstructured":"E. Filipovska, A. Mladenovska, M. Bajrami, J. Dobreva, V. Hillman,\nP. Lameski, and E. Zdravevski, \u201cBenchmarking openai\u2019s apis and other\nlarge language models for repeatable and efficient question answering\nacross multiple documents,\u201d in 2024 19th Conference on Computer\nScience and Intelligence Systems (FedCSIS), 2024, pp. 107\u2013117.","DOI":"10.15439\/2024F3979"},{"key":"ref7","unstructured":"L. Ouyang, J. Wu, X. Jiang, D. Almeida, C. L. Wainwright, P. Mishkin,\nC. Zhang, S. Agarwal, K. Slama, A. Ray, J. Schulman, J. Hilton, F. Kelton, L. Miller, M. Simens, A. Askell, P. Welinder, P. Christiano, J. Leike,\nand R. Lowe, \u201cTraining language models to follow instructions with\nhuman feedback,\u201d in Proceedings of the 36th International Conference\non Neural Information Processing Systems, ser. NIPS \u201922. Red Hook,\nNY, USA: Curran Associates Inc., 2022."},{"key":"ref8","unstructured":"W. X. Zhao, K. Zhou, J. Li, T. Tang, X. Wang, Y. Hou, Y. Min,\nB. Zhang, J. Zhang, Z. Dong, Y. Du, C. Yang, Y. Chen, Z. Chen,\nJ. Jiang, R. Ren, Y. Li, X. Tang, Z. Liu, P. Liu, J.-Y. Nie, and J.-R.\nWen, \u201cA survey of large language models,\u201d 2025. [Online]. Available:\nhttps:\/\/arxiv.org\/abs\/2303.18223"},{"key":"ref9","unstructured":"S. Geng, H. Cooper, M. Moskal, S. Jenkins, J. Berman, N. Ranchin,\nR. West, E. Horvitz, and H. Nori, \u201cJSON-SchemaBench: A rigorous\nbenchmark of structured outputs for language models,\u201d arXiv preprint\nhttps:\/\/arxiv.org\/abs\/2501.10868, 2025."},{"key":"ref10","unstructured":"Object Management Group (OMG), \u201cMeta object facility (MOF) 2.0\ncore specification,\u201d 2006. [Online]. Available: http:\/\/www.omg.org\/spec\/MOF\/2.0"},{"key":"ref11","unstructured":"Object Management Group (OMG), \u201cUnified modeling language (UML) specification version 2.5.1,\u201d\n2017. [Online]. Available: https:\/\/www.omg.org\/spec\/UML\/2.5.1\/"},{"key":"ref12","unstructured":"B. Wang, Z. Wang, X. Wang, Y. Cao, R. A Saurous, and Y. Kim,\n\u201cGrammar prompting for domain-specific language generation with large\nlanguage models,\u201d Advances in Neural Information Processing Systems,\nvol. 36, pp. 65 030\u201365 055, 2023."},{"key":"ref13","doi-asserted-by":"crossref","unstructured":"T. Scholak, N. Schucher, and D. Bahdanau, \u201cPicard: Parsing incrementally for constrained auto-regressive decoding from language models,\u201d in\nProceedings of the 2021 Conference on Empirical Methods in Natural\nLanguage Processing, 2021, pp. 9895\u20139901.","DOI":"10.18653\/v1\/2021.emnlp-main.779"},{"key":"ref14","unstructured":"N. Bassamzadeh and C. Methani, \u201cA Comparative Study of DSL Code\nGeneration: Fine-Tuning vs. Optimized Retrieval Augmentation,\u201d arXiv\npreprint https:\/\/arxiv.org\/abs\/2407.02742, 2024."},{"key":"ref15","unstructured":"L. Netz, J. Michael, and B. Rumpe, \u201cFrom Natural Language to Web\nApplications: Using Large Language Models for Model-Driven Software\nEngineering,\u201d in Modellierung, 2024."},{"key":"ref16","doi-asserted-by":"crossref","unstructured":"A. Fischer, J.-P. Tolvanen, and R. 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