APA (7th ed.) Citation

Zhang, B., Ye, Y., Du, G., Hu, X., Li, Z., Liu, C. H., . . . Mao, H. (2026). SQLBench: A Comprehensive Evaluation for Text-to-SQL Capabilities of Large Language Models. 2026 IEEE 22nd International Conference on Automation Science and Engineering (CASE), Automation Science and Engineering (CASE), 2026 IEEE 22nd International Conference on, 292. https://doi.org/10.1109/CASE69030.2026.11704387

Chicago Style (17th ed.) Citation

Zhang, Bin, et al. "SQLBench: A Comprehensive Evaluation for Text-to-SQL Capabilities of Large Language Models." 2026 IEEE 22nd International Conference on Automation Science and Engineering (CASE), Automation Science and Engineering (CASE), 2026 IEEE 22nd International Conference on 2026: 292. https://doi.org/10.1109/CASE69030.2026.11704387.

MLA (9th ed.) Citation

Zhang, Bin, et al. "SQLBench: A Comprehensive Evaluation for Text-to-SQL Capabilities of Large Language Models." 2026 IEEE 22nd International Conference on Automation Science and Engineering (CASE), Automation Science and Engineering (CASE), 2026 IEEE 22nd International Conference on, 2026, p. 292, https://doi.org/10.1109/CASE69030.2026.11704387.