🧑‍🔬 Who cites Zilong Wang

291 citations of their works from 289 papers of our library (of the 149,439 whose bibliographies we read) · 48 with a page here, the most cited first · ← Zilong Wang

1. A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and ApplicationsarXiv:2402.07927Pranab Sahoo; Ayush Kumar Singh; Sriparna Saha; Vinija Jain; Samrat Mondal;, Aman Chadha2024 · 375 citations
2. A Survey on Large Language Models for Code GenerationACM Transactions on Software Engineering and MethodologyJuyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 367 citations
3. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
4. Large Language Models for Data Annotation and Synthesis: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Tan, Dawei Li, Song Wang, et al.2024 · 262 citations
5. Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-steparXiv:2402.16906Li Zhong, Zilong Wang, Jingbo Shang2024 · 124 citations
6. A Survey on Efficient Inference for Large Language ModelsarXiv:2404.14294Zixuan Zhou, Xuefei Ning, Ke Hong, et al.2024 · 113 citations
7. Efficient Large Language Models: A SurveyarXiv:2312.03863Zhongwei Wan, Xin Wang, Che Liu, et al.2023 · 110 citations
8. Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to SystemsACM Computing SurveysXupeng Miao, Gabriele Oliaro, Zhihao Zhang, et al.2023 · 110 citations
9. AFlow: Automating Agentic Workflow GenerationarXiv:2410.10762Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu, et al.2024 · 95 citations
10. SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-ScalingarXiv:2312.15166Dahyun Kim, Chanjun Park, Sanghoon Kim, et al.2023 · 77 citations
11. AI Agents That MatterarXiv:2407.01502Sayash Kapoor, Benedikt Stroebl, Zachary S. Siegel, et al.2024 · 55 citations
12. RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement LearningarXiv:2410.02089Jonas Gehring, Kunhao Zheng, Jade Copet, et al.2024 · 51 citations
13. Fire-Flyer AI-HPC: A Cost-Effective Software-Hardware Co-Design for Deep Learning2012 International Conference for High Performance Computing, Networking, Storage and AnalysisWei An, Xiao Bi, Guanting Chen, et al.2024 · 34 citations
14. Table-Critic: A Multi-Agent Framework for Collaborative Criticism and Refinement in Table ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Peiying Yu, Guoxin Chen, Jingjing Wang2025 · 25 citations
15. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
16. Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zihan Qiu, Zeyu Huang, Bo Zheng, et al.2025 · 21 citations
17. Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMsInternational Conference on Computational Linguistics (COLING)Yu Xia, Rui Wang, Xu Liu, et al.2025 · 19 citations
18. A Survey of Post-Training Scaling in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hanyu Lai, Xiao Liu, Junjie Gao, et al.2025 · 18 citations
19. RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Qingyao Li, Wei Xia, Xinyi Dai, et al.2025 · 16 citations
20. From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical DebuggingarXiv:2410.01215Yuling Shi, Songsong Wang, Chengcheng Wan, et al.2024 · 15 citations
21. RoT: Enhancing Table Reasoning with Iterative Row-Wise TraversalsConference on Empirical Methods in Natural Language Processing (EMNLP)Xuanliang Zhang, Dingzirui Wang, Keyan Xu, et al.2025 · 10 citations
22. 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language ModelsarXiv:2505.00551Chong Zhang, Yue Deng, Xiang Lin, et al.2025 · 9 citations
23. TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyi He, Yihao Liu, Mengyu Zhou, et al.2025 · 8 citations
24. TableEval: A Real-World Benchmark for Complex, Multilingual, and Multi-Structured Table Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Junnan Zhu, Jingyi Wang, Bohan Yu, et al.2025 · 7 citations
25. Weaver: Interweaving SQL and LLM for Table ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Rohit Khoja, Devanshu Gupta, Yanjie Fu, et al.2025 · 6 citations
26. When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale TablesAnnual Meeting of the Association for Computational Linguistics (ACL)Shenghao Ye, Yu Guo, Dong Jin, et al.2026 · 4 citations
27. ClaimDB: A Fact Verification Benchmark over Large Structured DataAnnual Meeting of the Association for Computational Linguistics (ACL)Michael Theologitis, Preetam Prabhu Srikar Dammu, Chirag Shah, et al.2026 · 2 citations
28. Exploring Generative Process Reward Modeling for Semi-Structured Data: A Case Study of Table Question AnsweringConference of the European Chapter of the Association for Computational Linguistics (EACL)Lei Tang, Wei Zhou, Mohsen Mesgar2026 · 2 citations
29. Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Zhou, Bolei Ma, Annemarie Friedrich, et al.2026 · 2 citations
30. AraTable: Benchmarking LLMs' Reasoning and Understanding of Arabic Tabular DataarXiv:2507.18442Rana Alshaikh, Israa Alghanmi, Shelan Jeawak2025 · 2 citations
31. CoReTab: Improving Multimodal Table Understanding with Code-driven ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Van-Quang Nguyen, Takayuki Okatani2026 · 1 citation
32. Efficient Table Retrieval and Understanding with Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsZhuoyan Xu, Haoyang Fang, Boran Han, et al.2026 · 1 citation
33. AdaMix: Adaptive Mixing for Short and Long Reasoning AdaptersAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Luo, Xiao Yan, Xinyan Li, et al.2026
34. 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
35. Can LLMs Self-Correct Table Reasoning Errors?Workshop on Structured Understanding, Retrieval, and Generation in the LLM EraFarseen Shaikh2026
36. CodeRise: Bootstrapping LLMs for Ultra Low-Resource Programming Languages via Progressive Self-Refinement CurriculumFindings of the Association for Computational LinguisticsTengfei Wen, Xuanang Chen, Ben He, et al.2026
37. Escaping the Sisyphus Dilemma: Experience Replay for Robust Text-to-Optimization ModelingFindings of the Association for Computational LinguisticsWantong Xie, Yinghao Chen, Yi-Xiang Hu, et al.2026
38. MavenCoder: Competitive Code Generation via Model Adaptive Planning Strategies and Multi-Perspective Verification EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)ZhenChun Xu, Yi Cai, Dajun Zheng, et al.2026
39. Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Yuhang Zhou, Mingrui Zhang, Ke Li, et al.2026
40. NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question AnsweringConference of the European Chapter of the Association for Computational Linguistics (EACL)Kaiwen Shi, Zheyuan Zhang, Zhengqing Yuan, et al.2026
41. PaT: Planning-after-Trial for Efficient Test-Time Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Youngsik Yoon, Sungjae Lee, Seockbean Song, et al.2026
42. SMART: Semantic Header Flattening and Pseudo-Code-Style Reasoning for LLM-based Complex Table Question AnsweringFindings of the Association for Computational LinguisticsYongshuo Zhang, Jixiong Chen, Kaihe xu, et al.2026
43. Table-R1: Region-based Reinforcement Learning for Table UnderstandingFindings of the Association for Computational LinguisticsZhenhe Wu, Jian Yang, Zhongjiang He, et al.2026
44. Towards Robust Real-World Spreadsheet Understanding with Multi-Agent Multi-Format ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Houxing Ren, Mingjie Zhan, Zimu Lu, et al.2026
45. TRN-R1-Zero: Text-rich Network Reasoning via LLMs with Reinforcement Learning OnlyAnnual Meeting of the Association for Computational Linguistics (ACL)Yilun Liu, Ruihong Qiu, Zi Huang2026
46. TrustTable: A Neuro-Symbolic Auditing Framework for Faithful Table QAAnnual Meeting of the Association for Computational Linguistics (ACL)Guangzhen Zhao, Dechang Kong, Tongyu Wu, et al.2026
47. Verify Before You Commit: Towards Faithful Reasoning in LLM Agents via Self-AuditingAnnual Meeting of the Association for Computational Linguistics (ACL)Wenhao Yuan, Chenchen Lin, Jian Chen, et al.2026
48. Survey on Key Technologies for Large Language Model Pre-training Systems (大语言模型预训练系统关键技术综述)Journal of SoftwareYanjie Gao (高彦杰), Yueguo Chen (陈跃国)2025

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