--- title: "Who cites Bolin Ding — 145 papers of our library" description: "145 papers of the Elamur Research library cite the works of Bolin Ding, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/bolin-ding/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/bolin-ding/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Bolin Ding](https://md.research.elamur.ai/free/en/authors/bolin-ding/) / cited by # Who cites Bolin Ding 145 citations of their works from 145 papers of our library (of the 149,439 whose bibliographies we read) · 21 with a page here, the most cited first · [← Bolin Ding](https://md.research.elamur.ai/free/en/authors/bolin-ding/) 1. [**AgentBench: Evaluating LLMs as Agents arXiv:2308.03688**Xiao Liu, Hao Yu, Hanchen Zhang, et al.*2023 · 432 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-agentbench-evaluating-llms-agents/) 2. **[MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL](https://md.research.elamur.ai/free/en/papers/wang-2025-mac-sql-multi-agent-collaborative/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Bing Wang, Changyu Ren, Jian Yang, et al.*2025 · 68 citations* 3. [**Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? arXiv:2406.13121**Jinhyuk Lee, Anthony Chen, Zhuyun Dai, et al.*2024 · 53 citations*](https://md.research.elamur.ai/free/en/papers/lee-2024-long-context-language-models-subsume/) 4. **[MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation](https://md.research.elamur.ai/free/en/papers/lee-2025-mcs-sql-leveraging-multiple-prompts/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Dongjun Lee, Choongwon Park, Jaehyuk Kim, et al.*2025 · 42 citations* 5. **[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* 6. **[Arctic-Text2SQL-R1: Simple Rewards, Strong Reasoning in Text-to-SQL](https://md.research.elamur.ai/free/en/papers/yao-2026-arctic-text2sql-r1-simple-rewards/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhewei Yao, Guoheng Sun, Łukasz Borchmann, et al.*2026 · 15 citations* 7. **[Fact Finder - Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/steinigen-2026-fact-finder-enhancing-domain-expertise/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Daniel Steinigen, Roman Teucher, Timm Heine Ruland, et al.*2026 · 4 citations* 8. **[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* 9. **[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* 10. [**Prompt Engineering Techniques for Context-dependent Text-to-SQL in Arabic arXiv:2511.20677**Saleh Almohaimeed, May Alsofyani, Saad Almohaimeed, et al.*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/almohaimeed-2025-prompt-engineering-techniques-context-dependent/) 11. [**AraSpider: Democratizing Arabic-to-SQL arXiv:2402.07448**Ahmed Heakl; Youssef Mohamed;, Ahmed B. Zaky*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/heakl-2024-araspider-democratizing-arabic-sql/) 12. **[Asking language models how to represent data for fine-tuning](https://md.research.elamur.ai/free/en/papers/singh-2026-asking-language-models-how-represent/) [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/)**Usneek Singh, Ananya Singha, Abhijeet Awasthi, et al.*2026* 13. **[LatentRefusal: Latent-Signal Refusal for Unanswerable Text-to-SQL Queries](https://md.research.elamur.ai/free/en/papers/ren-2026-latentrefusal-latent-signal-refusal-unanswerable/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xuancheng Ren, Shijing Hu, Zhihui Lu, et al.*2026* 14. **[LLM-FK: Multi-Agent LLM Reasoning for Foreign Key Detection in Large-Scale Complex Databases](https://md.research.elamur.ai/free/en/papers/tang-2026-llm-fk-multi-agent-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zijian Tang, Ying Zhang, Sibo Cai, et al.*2026* 15. **[Multi-Agent Architecture with RAG and Dynamic Context Windows for Text-to-SQL Optimization](https://md.research.elamur.ai/free/en/papers/santos-2026-multi-agent-architecture-rag-dynamic/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Willgnner Ferreira Santos, Paulo Victor dos Santos, Marcella Scoczynski Ribeiro Martins, et al.*2026* 16. [**Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-Training arXiv:2608.30609**Lukas Borggren, Jenny Kunz, Marco Kuhlmann*2026*](https://md.research.elamur.ai/free/en/papers/borggren-2026-reading-news-adapting-large-language/) 17. **[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* 18. **[Rethinking Text-to-SQL: Dynamic Multi-turn SQL Interaction for Real-world Database Exploration](https://md.research.elamur.ai/free/en/papers/sun-2026-rethinking-text-sql-dynamic-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Linzhuang Sun, Tianyu Guo, Hao Liang, et al.*2026* 19. **[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* 20. **[Squrve: A Unified and Modular Framework for Complex Real-World Text-to-SQL Tasks](https://md.research.elamur.ai/free/en/papers/wang-2026-squrve-unified-modular-framework-complex/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yihan Wang, Peiyu Liu, Runyu Chen, et al.*2026* 21. **[VET: Verifiable Execution Tracing for Reliable Text-to-SQL Generation](https://md.research.elamur.ai/free/en/papers/wang-2026-vet-verifiable-execution-tracing-reliable/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dongyu Wang, Jingyu Li, Lan Zhang, et al.*2026* 124 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/bolin-ding/) — Bolin Ding