Page 112 - AIH-1-2
P. 112
Artificial Intelligence in Health Schema-less text2sql conversion with LLMs
on Artificial Intelligence and Thirty-Fifth Conference on Proceedings of Deep Learning Inside Out (DeeLIO 2022): The
Innovative Applications of Artificial Intelligence and Thirteenth 3 Workshop on Knowledge Extraction and Integration for
rd
Symposium on Educational Advances in Artificial Intelligence Deep Learning Architectures. Dublin, Ireland: Association
(AAAI’ 23/IAAI’ 23/EAAI ‘23), Vol. 37. Washington, DC, for Computational Linguistics; 2022. p. 100-114.
U.S: AAAI Press, 2023. p. 13067-13075.
doi: 10.18653/v1/2022.deelio-1.10
doi: 10.1609/aaai.v37i11.26535
19. Wei J, Wang X, Schuurmans D, et al. Chain-of-thought
17. Min S, Lyu X, Holtzman A, et al. Rethinking the role of prompting elicits reasoning in large language models. Adv
demonstrations: What makes in-context learning work? In: Neural Info Process Syst. 2022;35:24824-24837.
Proceedings of the 2022 Conference on Empirical Methods 20. Yu T, Zhang R, Yang K, et al. Spider: A Large-Scale
in Natural Language Processing. Abu Dhabi, United Arab Human-Labeled Dataset for Complex and Cross-Domain
Emirates. Association for Computational Linguistics. Semantic Parsing and Text-to-SQL Task. In: Proceedings
p. 11048-11064.
of the 2018 Conference on Empirical Methods in Natural
doi: 10.18653/v1/2022.emnlp-main.759 Language Processing. Brussels, Belgium: Association for
Computational Linguistics; 2018. p. 3911-3921.
18. Liu J, Shen D, Zhang Y, Dolan B, Carin L, Chen W.
What Makes Good In-Context Examples for GPT-3? In: doi: 10.18653/v1/D18-1425
Volume 1 Issue 2 (2024) 106 doi: 10.36922/aih.2661

