---
title: "Who cites CodeS: Towards Building — 59 citing papers"
description: "59 papers of the Elamur Research library cite «CodeS: Towards Building Open-source Language Models for Text-to-SQL», found in their…"
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---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [CodeS: Towards Building Open-source Language…](https://md.research.elamur.ai/free/en/papers/li-2024-codes-towards-building-open-source/) / cited by

# Who cites «CodeS: Towards Building Open-source Language Models for Text-to-SQL»

59 papers of our library cite it (of the 149,439 whose bibliographies we read) · 13 with a page here, the most cited first · [← back to «CodeS: Towards Building Open-source Language Models for Text-to-SQL»](https://md.research.elamur.ai/free/en/papers/li-2024-codes-towards-building-open-source/)

1. [**Retrieval-Augmented Generation for AI-Generated Content: A Survey arXiv:2402.19473**Penghao Zhao, Hailin Zhang, Qinhan Yu, et al.*2024 · 301 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2024-retrieval-augmented-generation-ai-generated/)
2. **[STaR-SQL: Self-Taught Reasoner for Text-to-SQL](https://md.research.elamur.ai/free/en/papers/he-2025-star-sql-self-taught-reasoner/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mingqian He, Yongliang Shen, Wenqi Zhang, et al.*2025 · 17 citations*
3. **[LitE-SQL: A Lightweight and Efficient Text-to-SQL Framework with Vector-based Schema Linking and Execution-Guided Self-Correction](https://md.research.elamur.ai/free/en/papers/piao-2026-lite-sql-lightweight-efficient-text/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shengmin Piao, Jieun Lee, Sanghyun Park*2026 · 3 citations*
4. **[SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes](https://md.research.elamur.ai/free/en/papers/xie-2026-sde-sql-enhancing-text-sql/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenxuan Xie, Yaxun Dai, Wenhao Jiang*2026 · 3 citations*
5. **[Adaptive Text2GQL: Integrating Structural Twig Linking and Evolutionary In-Context Learning](https://md.research.elamur.ai/free/en/papers/niu-2026-adaptive-text2gql-integrating-structural-twig/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fang Niu, Chaokun Wang, Hang Zhang, et al.*2026*
6. **[Beyond Static Rules: Automated Discovery of Latent Vulnerabilities in Text-to-SQL](https://md.research.elamur.ai/free/en/papers/wang-2026-beyond-static-rules-automated-discovery/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hanqing Wang, Yongdong Chi, Jian Yang, et al.*2026*
7. **[Bidirectional Semantic Enhancement for Schema Routing Across Large-Scale Databases](https://md.research.elamur.ai/free/en/papers/wu-2026-bidirectional-semantic-enhancement-schema-routing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuyang Wu, Xiaoliang Wang, Cam-Tu Nguyen*2026*
8. **[CORES: Code-Oriented Reasoning for Complex Text-to-SQL and Generalizable TableQA](https://md.research.elamur.ai/free/en/papers/zhang-2026-cores-code-oriented-reasoning-complex/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Meng Zhang, Ruochun Jin, Yuanxi Peng, et al.*2026*
9. **[CypherSmith: Transforming Text-to-Cypher Generation for LLMs with Synthetic Data](https://md.research.elamur.ai/free/en/papers/zhang-2026-cyphersmith-transforming-text-cypher-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zeyu Zhang, Kexuan Sun, Zheng Tang, et al.*2026*
10. **[Memo-SQL: Structured Decomposition and Experience-Driven Self-Correction for Training-Free NL2SQL](https://md.research.elamur.ai/free/en/papers/zerui-2026-memo-sql-structured-decomposition-experience/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yang Zerui, Weichuan Wang, Yanwei Xu, et al.*2026*
11. **[PExA: Parallel Exploration Agent for Complex Text-to-SQL](https://md.research.elamur.ai/free/en/papers/parekh-2026-pexa-parallel-exploration-agent-complex/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tanmay Parekh, Ella Hofmann-Coyle, Shuyi Wang, et al.*2026*
12. **[ReSQL: Self-Improving Framework for Reasoning-Aware Text-to-SQL Dataset Generation](https://md.research.elamur.ai/free/en/papers/park-2026-resql-self-improving-framework-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Minjun Park, Yongju Seong, Myoseop Sim, et al.*2026*
13. **[ROSE: An Intent-Centered Evaluation Metric for NL2SQL](https://md.research.elamur.ai/free/en/papers/pei-2026-rose-intent-centered-evaluation-metric/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenqi Pei, Shizheng Hou, Boyan Li, et al.*2026*

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

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