---
title: "Who cites A comprehensive evaluation of — 66 citing papers"
description: "66 papers of the Elamur Research library cite «A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability», found in their…"
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---
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# Who cites «A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability»

66 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability»](https://md.research.elamur.ai/free/en/papers/liu-2023-comprehensive-evaluation-chatgpt-s-zero/)

1. [**Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation arXiv:2308.15363**Dawei Gao, Haibin Wang, Yaliang Li, et al.*2023 · 461 citations*](https://md.research.elamur.ai/free/en/papers/gao-2023-text-sql-empowered-large-language/)
2. **[DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction](https://md.research.elamur.ai/free/en/papers/pourreza-2023-din-sql-decomposed-context-learning/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Mohammadreza Pourreza, Davood Rafiei*2023 · 398 citations*
3. **[A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets](https://md.research.elamur.ai/free/en/papers/laskar-2023-systematic-study-comprehensive-evaluation-chatgpt/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Md Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.*2023 · 200 citations*
4. [**Is GPT-3 a Good Data Annotator? arXiv:2212.10450**Bosheng Ding, Chengwei Qin, Linlin Liu, et al.*2022 · 145 citations*](https://md.research.elamur.ai/free/en/papers/ding-2022-gpt-3-good-data-annotator/)

62 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/liu-2023-comprehensive-evaluation-chatgpt-s-zero/) — A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability