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Benchmarking and Improving Text-to-SQL Generation under Ambiguity

Research article (Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023) · cited 13× · AI/ML
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Benchmarking and Improving Text-to-SQL Generation under Ambiguity

Summary

Benchmarking and Improving Text-to-SQL Generation under Ambiguity is a scholarly article[1].

Key Facts

  • Benchmarking and Improving Text-to-SQL Generation under Ambiguity's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Benchmarking and Improving Text-to-SQL Generation under Ambiguity. Retrieved May 24, 2026, from https://4ort.xyz/entity/benchmarking-and-improving-text-to-sql-generation-under-ambiguity
MLA “Benchmarking and Improving Text-to-SQL Generation under Ambiguity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/benchmarking-and-improving-text-to-sql-generation-under-ambiguity.
BibTeX @misc{4ortxyz_benchmarking-and-improving-text-to-sql-generation-under-ambiguity_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Benchmarking and Improving Text-to-SQL Generation under Ambiguity}}, year = {2026}, url = {https://4ort.xyz/entity/benchmarking-and-improving-text-to-sql-generation-under-ambiguity}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Benchmarking and Improving Text-to-SQL Generation under Ambiguity — https://4ort.xyz/entity/benchmarking-and-improving-text-to-sql-generation-under-ambiguity (retrieved 2026-05-24)

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