🧑‍🔬 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

1. AgentBench: Evaluating LLMs as AgentsarXiv:2308.03688Xiao Liu, Hao Yu, Hanchen Zhang, et al.2023 · 432 citations
2. MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQLInternational Conference on Computational Linguistics (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:2406.13121Jinhyuk Lee, Anthony Chen, Zhuyun Dai, et al.2024 · 53 citations
4. MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL GenerationInternational Conference on Computational Linguistics (COLING)Dongjun Lee, Choongwon Park, Jaehyuk Kim, et al.2025 · 42 citations
5. STaR-SQL: Self-Taught Reasoner for Text-to-SQLAnnual Meeting of the Association for Computational Linguistics (ACL)Mingqian He, Yongliang Shen, Wenqi Zhang, et al.2025 · 17 citations
6. Arctic-Text2SQL-R1: Simple Rewards, Strong Reasoning in Text-to-SQLFindings of the Association for Computational LinguisticsZhewei Yao, Guoheng Sun, Łukasz Borchmann, et al.2026 · 15 citations
7. Fact Finder - Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge GraphsConference of the European Chapter of the Association for Computational Linguistics (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-CorrectionFindings of the Association for Computational LinguisticsShengmin Piao, Jieun Lee, Sanghyun Park2026 · 3 citations
9. SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL ProbesAnnual Meeting of the Association for Computational Linguistics (ACL)Wenxuan Xie, Yaxun Dai, Wenhao Jiang2026 · 3 citations
10. Prompt Engineering Techniques for Context-dependent Text-to-SQL in ArabicarXiv:2511.20677Saleh Almohaimeed, May Alsofyani, Saad Almohaimeed, et al.2025 · 2 citations
11. AraSpider: Democratizing Arabic-to-SQLarXiv:2402.07448Ahmed Heakl; Youssef Mohamed;, Ahmed B. Zaky2024 · 1 citation
12. Asking language models how to represent data for fine-tuningWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraUsneek Singh, Ananya Singha, Abhijeet Awasthi, et al.2026
13. LatentRefusal: Latent-Signal Refusal for Unanswerable Text-to-SQL QueriesFindings of the Association for Computational LinguisticsXuancheng Ren, Shijing Hu, Zhihui Lu, et al.2026
14. LLM-FK: Multi-Agent LLM Reasoning for Foreign Key Detection in Large-Scale Complex DatabasesFindings of the Association for Computational LinguisticsZijian Tang, Ying Zhang, Sibo Cai, et al.2026
15. Multi-Agent Architecture with RAG and Dynamic Context Windows for Text-to-SQL OptimizationInternational Conference on Computational Processing of PortugueseWillgnner 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-TrainingarXiv:2608.30609Lukas Borggren, Jenny Kunz, Marco Kuhlmann2026
17. ReSQL: Self-Improving Framework for Reasoning-Aware Text-to-SQL Dataset GenerationFindings of the Association for Computational LinguisticsMinjun Park, Yongju Seong, Myoseop Sim, et al.2026
18. Rethinking Text-to-SQL: Dynamic Multi-turn SQL Interaction for Real-world Database ExplorationFindings of the Association for Computational LinguisticsLinzhuang Sun, Tianyu Guo, Hao Liang, et al.2026
19. ROSE: An Intent-Centered Evaluation Metric for NL2SQLAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqi Pei, Shizheng Hou, Boyan Li, et al.2026
20. Squrve: A Unified and Modular Framework for Complex Real-World Text-to-SQL TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Yihan Wang, Peiyu Liu, Runyu Chen, et al.2026
21. VET: Verifiable Execution Tracing for Reliable Text-to-SQL GenerationFindings of the Association for Computational LinguisticsDongyu Wang, Jingyu Li, Lan Zhang, et al.2026

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