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Text-to-SQL, which enables natural language interaction with databases, serves as a pivotal method across diverse industries.
Locality-sensitive hashing scheme based on p-stable distributions
Datar, M., Immorlica, N., Indyk, P., and Mirrokni, V. S · 2004
Earlier work this paper cites.
Efficient selectivity and backup operators in monte-carlo tree search
Coulom, R · 2006
Earlier work this paper cites.
Bandit based monte-carlo planning
Kocsis, L. and Szepesvári, C · 2006
Earlier work this paper cites.
Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task
Yu, T., Zhang, R., Yang, K., Yasunaga, M., Wang, D., Li, Z., Ma, J., Li, I., Yao, Q., Roman, S., Zhang, Z., and Radev, D. R · 2018
Earlier work this paper cites.
Exploring the limits of transfer learning with a unified text-to-text transformer
Raffel, C., Shazeer, N., Roberts, A., Lee, K., Narang, S., Matena, M., Zhou, Y., Li, W., and Liu, P. J · 2020
Earlier work this paper cites.
Synthesizing natural language to visualization (NL2VIS) benchmarks from NL2SQL benchmarks
Luo, Y., Tang, N., Li, G., Chai, C., Li, W., and Qin, X · 2021
Earlier work this paper cites.
PICARD: parsing incrementally for constrained auto-regressive decoding from language models
Scholak, T., Schucher, N., and Bahdanau, D · 2021
Earlier work this paper cites.
Solving math word problems with process- and outcome-based feedback
Uesato, J., Kushman, N., Kumar, R., Song, H. F., Siegel, N. Y., Wang, L., Creswell, A., Irving, G., and Higgins, I · 2022
Earlier work this paper cites.
Chain-of-thought prompting elicits reasoning in large language models
Wei, J., Wang, X., Schuurmans, D., Bosma, M., Ichter, B., Xia, F., Chi, E. H., Le, Q. V., and Zhou, D · 2022
Earlier work this paper cites.
Star: Bootstrapping reasoning with reasoning
Zelikman, E., Wu, Y., Mu, J., and Goodman, N. D · 2022
Earlier work this paper cites.
C3: zero-shot text-to-sql with chatgpt
Dong, X., Zhang, C., Ge, Y., Mao, Y., Gao, Y., Chen, L., Lin, J., and Lou, D · 2023
Earlier work this paper cites.
Few-shot text-to-sql translation using structure and content prompt learning
Gu, Z., Fan, J., Tang, N., Cao, L., Jia, B., Madden, S., and Du, X · 2023
Earlier work this paper cites.
Reasoning with language model is planning with world model
Hao, S., Gu, Y., Ma, H., Hong, J. J., Wang, Z., Wang, D. Z., and Hu, Z · 2023
Earlier work this paper cites.
Learned data-aware image representations of line charts for similarity search
Luo, Y., Zhou, Y., Tang, N., Li, G., Chai, C., and Shen, L · 2023
Cited alongside, same era.
DIN-SQL: decomposed in-context learning of text-to-sql with self-correction
Pourreza, M. and Rafiei, D · 2023
Cited alongside, same era.
Tree of thoughts: Deliberate problem solving with large language models
Yao, S., Yu, D., Zhao, J., Shafran, I., Griffiths, T., Cao, Y., and Narasimhan, K · 2023
Cited alongside, same era.
MEDEC: A benchmark for medical error detection and correction in clinical notes
Abacha, A. B., Yim, W., Fu, Y., Sun, Z., Yetisgen, M., Xia, F., and Lin, T · 2024
Cited alongside, same era.
Abdin, M. I., Aneja, J., Behl, H. S., Bubeck, S., Eldan, R., Gunasekar, S., Harrison, M., Hewett, R. J., Javaheripi, M., Kauffmann, P., Lee, J. R., Lee, Y. T., Li, Y., Liu, W., Mendes, C. C. T., Nguyen, A., Price, E., de Rosa, G., Saarikivi, O., Salim, A., Shah, S., Wang, X., Ward, R., Wu, Y., Yu, D., Zhang, C., and Zhang, Y · 2024
CHESS: contextual harnessing for efficient SQL synthesis
Talaei, S., Pourreza, M., Chang, Y., Mirhoseini, A., and Saberi, A · 2024
Later among the works it cites.
Haichart: Human and AI paired visualization system
Xie, Y., Luo, Y., Li, G., and Tang, N · 2024
Later among the works it cites.
Yang, A., Yang, B., Zhang, B., and et al · 2024
Later among the works it cites.
Are large language models good statisticians?
Zhu, Y., Du, S., Li, B., Luo, Y., and Tang, N · 2024
Later among the works it cites.
MCS-SQL: leveraging multiple prompts and multiple-choice selection for text-to-sql generation
Lee, D., Park, C., Kim, J., and Park, H · 2025
Closest in time.
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Cited alongside, same era.
RSL-SQL: robust schema linking in text-to-sql generation
Cao, Z., Zheng, Y., Fan, Z., Zhang, X., Chen, W., and Bai, X · 2024
Cited alongside, same era.
Combining small language models and large language models for zero-shot NL2SQL
Fan, J., Gu, Z., Zhang, S., Zhang, Y., Chen, Z., Cao, L., Li, G., Madden, S., Du, X., and Tang, N · 2024
Cited alongside, same era.
A survey of NL2SQL with large language models: Where are we, and where are we going?
Liu, X., Shen, S., Li, B., Ma, P., Jiang, R., Luo, Y., Zhang, Y., Fan, J., Li, G., and Tang, N · 2024
Cited alongside, same era.
A plug-and-play natural language rewriter for natural language to SQL
Ma, P., Li, B., Jiang, R., Fan, J., Tang, N., and Luo, Y · 2024
Cited alongside, same era.
The death of schema linking? text-to-sql in the age of well-reasoned language models
Maamari, K., Abubaker, F., Jaroslawicz, D., and Mhedhbi, A · 2024
Cited alongside, same era.
Mutual reasoning makes smaller llms stronger problem-solvers
Qi, Z., Ma, M., Xu, J., Zhang, L. L., Yang, F., and Yang, M · 2024
Cited alongside, same era.
Treebon: Enhancing inference-time alignment with speculative tree-search and best-of-n sampling
Qiu, J., Lu, Y., Zeng, Y., Guo, J., Geng, J., Wang, H., Huang, K., Wu, Y., and Wang, M · 2024
Cited alongside, same era.
Lin, X., Qi, Y., Zhu, Y., Palpanas, T., Chai, C., Tang, N., and Luo, Y · 2025
Closest in time.
nvbench 2.0: A benchmark for natural language to visualization under ambiguity
Luo, T., Huang, C., Shen, L., Li, B., Shen, S., Zeng, W., Tang, N., and Luo, Y · 2025
Closest in time.
CHASE-SQL: multi-path reasoning and preference optimized candidate selection in text-to-sql
Pourreza, M., Li, H., Sun, R., Chung, Y., Talaei, S., Kakkar, G. T., Gan, Y., Saberi, A., Ozcan, F., and Arik, S. Ö · 2025
Closest in time.
Atom of thoughts for markov LLM test-time scaling
Teng, F., Yu, Z., Shi, Q., Zhang, J., Wu, C., and Luo, Y · 2025
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MAC-SQL: A multi-agent collaborative framework for text-to-sql
Wang, B., Ren, C., Yang, J., Liang, X., Bai, J., Chai, L., Yan, Z., Zhang, Q., Yin, D., Sun, X., and Li, Z · 2025
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Concise reasoning, big gains: Pruning long reasoning trace with difficulty-aware prompting, 2025
Wu, Y., Shi, J., Wu, B., Zhang, J., Lin, X., Tang, N., and Luo, Y · 2025
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Aflow: Automating agentic workflow generation
Zhang, J., Xiang, J., Yu, Z., Teng, F., Chen, X., Chen, J., Zhuge, M., Cheng, X., Hong, S., Wang, J., Zheng, B., Liu, B., Luo, Y., and Wu, C · 2025
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Elliesql: Cost-efficient text-to-sql with complexity-aware routing
Zhu, Y., Jiang, R., Li, B., Tang, N., and Luo, Y · 2025
Closest in time.