🧑‍🔬 Who cites Alvin Cheung

484 citations of their works from 443 papers of our library (of the 149,439 whose bibliographies we read) · 77 with a page here, the most cited first · ← Alvin Cheung

1. CodeBERT: A Pre-Trained Model for Programming and Natural LanguagesFindings of the Association for Computational LinguisticsZhangyin Feng, Daya Guo, Duyu Tang, et al.2020 · 2,967 citations
2. Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL TaskConference on Empirical Methods in Natural Language Processing (EMNLP)Tao Yu, Rui Zhang, Kai Yang, et al.2018 · 1,602 citations
3. The Rise and Potential of Large Language Model Based Agents: A SurveyScience China Information SciencesZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,272 citations
4. Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement LearningarXiv:1709.00103Victor Zhong, Caiming Xiong, Richard Socher2017 · 1,226 citations
5. Program Synthesis with Large Language ModelsarXiv:2108.07732Jacob Austin, Augustus Odena, Maxwell Nye, et al.2021 · 1,192 citations
6. Learning to Ask: Neural Question Generation for Reading ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Xinya Du, Junru Shao, Claire Cardie2017 · 917 citations
7. TaPas: Weakly Supervised Table Parsing via Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Jonathan Herzig, Pawel Krzysztof Nowak, Thomas Müller, et al.2020 · 847 citations
8. RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL ParsersAnnual Meeting of the Association for Computational Linguistics (ACL)Bailin Wang, Richard Shin, Xiaodong Liu, et al.2020 · 753 citations
9. Unified Pre-training for Program Understanding and GenerationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Wasi Ahmad, Saikat Chakraborty, Baishakhi Ray, et al.2021 · 750 citations
10. CodeSearchNet Challenge: Evaluating the State of Semantic Code SearcharXiv:1909.09436Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit, et al.2020 · 656 citations
11. Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code GenerationConference on Neural Information Processing Systems (NeurIPS)Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang, et al.2023 · 648 citations
12. LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for CodearXiv:2403.07974Naman Jain, King Han, Alex Gu, et al.2024 · 578 citations
13. Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLsConference on Neural Information Processing Systems (NeurIPS)Jinyang Li, Binyuan Hui, Ge Qu, et al.2023 · 433 citations
14. A Transformer-based Approach for Source Code SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Wasi Ahmad, Saikat Chakraborty, Baishakhi Ray, et al.2020 · 431 citations
15. Construction of the Literature Graph in Semantic ScholarConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, et al.2018 · 400 citations
16. SQLNet: Generating Structured Queries From Natural Language Without Reinforcement LearningarXiv:1711.04436Xiaojun Xu, Chang Liu, Dawn Song2017 · 372 citations
17. 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
18. The Adverse Effects of Code Duplication in Machine Learning Models of CodearXiv:1812.06469Miltiadis Allamanis2018 · 319 citations
19. Good-Enough Compositional Data AugmentationAnnual Meeting of the Association for Computational Linguistics (ACL)Jacob Andreas2020 · 313 citations
20. Learning to Mine Aligned Code and Natural Language Pairs from Stack OverflowarXiv:1805.08949Pengcheng Yin, Bowen Deng, Edgar Chen, et al.2018 · 308 citations
21. On-Policy Distillation of Language Models: Learning from Self-Generated MistakesarXiv:2306.13649Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, et al.2023 · 299 citations
22. RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQLProceedings of the AAAI Conference on Artificial IntelligenceHaoyang Li, Jing Zhang, Cuiping Li, et al.2023 · 277 citations
23. Representing Schema Structure with Graph Neural Networks for Text-to-SQL ParsingAnnual Meeting of the Association for Computational Linguistics (ACL)Ben Bogin, Jonathan Berant, Matt Gardner2019 · 272 citations
24. CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to DatabasesConference on Empirical Methods in Natural Language Processing (EMNLP)Tao Yu, Rui Zhang, Heyang Er, et al.2019 · 262 citations
25. Mapping Language to Code in Programmatic ContextConference on Empirical Methods in Natural Language Processing (EMNLP)Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, et al.2018 · 260 citations
26. SParC: Cross-Domain Semantic Parsing in ContextAnnual Meeting of the Association for Computational Linguistics (ACL)Tao Yu, Rui Zhang, Michihiro Yasunaga, et al.2019 · 228 citations
27. Break It Down: A Question Understanding BenchmarkTransactions of the Association for Computational Linguistics (TACL)Tomer Wolfson, Mor Geva, Ankit Gupta, et al.2020 · 222 citations
28. EAGLE: Speculative Sampling Requires Rethinking Feature UncertaintyarXiv:2401.15077Yuhui Li, Fangyun Wei, Chao Zhang, et al.2024 · 208 citations
29. Retrieval Augmented Code Generation and SummarizationFindings of the Association for Computational LinguisticsMd Rizwan Parvez, Wasi Ahmad, Saikat Chakraborty, et al.2021 · 193 citations
30. LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local RelationsAnnual Meeting of the Association for Computational Linguistics (ACL)Ruisheng Cao, Lu Chen, Zhi Chen, et al.2021 · 191 citations
31. CodeS: Towards Building Open-source Language Models for Text-to-SQLarXiv:2402.16347Haoyang Li, Jing Zhang, Hanbing Liu, et al.2024 · 190 citations
32. Editing-Based SQL Query Generation for Cross-Domain Context-Dependent QuestionsConference on Empirical Methods in Natural Language Processing (EMNLP)Rui Zhang, Tao Yu, Heyang Er, et al.2019 · 177 citations
33. A Comprehensive Exploration on WikiSQL with Table-Aware Word ContextualizationarXiv:1902.01069Wonseok Hwang, Jinyeong Yim, Seunghyun Park, et al.2019 · 170 citations
34. SantaCoder: don't reach for the stars!arXiv:2301.03988Loubna Ben Allal, Raymond Li, Denis Kocetkov, et al.2023 · 167 citations
35. Structure-Grounded Pretraining for Text-to-SQLConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek, et al.2021 · 167 citations
36. A Survey of Machine Learning for Big Code and NaturalnessACM Computing SurveysMiltiadis Allamanis, Earl T. Barr, Premkumar Devanbu, et al.2017 · 167 citations
37. CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding ChallengesAnnual Meeting of the Association for Computational Linguistics (ACL)Kechi Zhang, Jia Li, Ge Li, et al.2024 · 150 citations
38. Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative DecodingFindings of the Association for Computational LinguisticsHeming Xia, Zhe Yang, Qingxiu Dong, et al.2024 · 146 citations
39. Towards Robustness of Text-to-SQL Models against Synonym SubstitutionAnnual Meeting of the Association for Computational Linguistics (ACL)Yujian Gan, Xinyun Chen, Qiuping Huang, et al.2021 · 143 citations
40. CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding TasksarXiv:2105.12655Ruchir Puri, David S. Kung, Geert Janssen, et al.2021 · 141 citations
41. EAGLE-2: Faster Inference of Language Models with Dynamic Draft TreesConference on Empirical Methods in Natural Language Processing (EMNLP)Yuhui Li, Fangyun Wei, Chao Zhang, et al.2024 · 133 citations
42. Exploring Underexplored Limitations of Cross-Domain Text-to-SQL GeneralizationConference on Empirical Methods in Natural Language Processing (EMNLP)Yujian Gan, Xinyun Chen, Matthew Purver2021 · 123 citations
43. CRUXEval: A Benchmark for Code Reasoning, Understanding and ExecutionarXiv:2401.03065Alex Gu, Baptiste Rozière, Hugh Leather, et al.2024 · 122 citations
44. A Survey on Efficient Inference for Large Language ModelsarXiv:2404.14294Zixuan Zhou, Xuefei Ning, Ke Hong, et al.2024 · 113 citations
45. 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
46. Self-Edit: Fault-Aware Code Editor for Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Kechi Zhang, Zhuo Li, Jia Li, et al.2023 · 105 citations
47. FLASK: Fine-grained Language Model Evaluation based on Alignment Skill SetsarXiv:2307.10928Seonghyeon Ye, Doyoung Kim, Sungdong Kim, et al.2023 · 100 citations
48. SPoC: Search-based Pseudocode to CodearXiv:1906.04908Sumith Kulal, Panupong Pasupat, Kartik Chandra, et al.2019 · 96 citations
49. LLM Inference Unveiled: Survey and Roofline Model InsightsarXiv 2024Zhihang Yuan, Yuzhang Shang, Yang Zhou, et al.2024 · 91 citations
50. Rephrasing the Web: A Recipe for Compute and Data-Efficient Language ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Pratyush Maini, Skyler Seto, Richard Bai, et al.2024 · 90 citations
51. MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code GenerationarXiv:2208.08227Federico Cassano, John Gouwar, Daniel Nguyen, et al.2022 · 88 citations
52. JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Rajas Agashe, Srinivasan Iyer, Luke Zettlemoyer2019 · 75 citations
53. code2seq: Generating Sequences from Structured Representations of CodearXiv:1808.01400Uri Alon, Shaked Brody, Omer Levy, et al.2018 · 72 citations
54. Execution-Based Evaluation for Open-Domain Code GenerationFindings of the Association for Computational LinguisticsZhiruo Wang, Shuyan Zhou, Daniel Fried, et al.2023 · 69 citations
55. Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit FeedbackAnnual Meeting of the Association for Computational Linguistics (ACL)Carolin Lawrence, Stefan Riezler2018 · 68 citations
56. DuSQL: A Large-Scale and Pragmatic Chinese Text-to-SQL DatasetConference on Empirical Methods in Natural Language Processing (EMNLP)Lijie Wang, Ao Zhang, Kun Wu, et al.2020 · 64 citations
57. Natural Language to Code Generation in Interactive Data Science NotebooksAnnual Meeting of the Association for Computational Linguistics (ACL)Pengcheng Yin, Wen-Ding Li, Kefan Xiao, et al.2023 · 63 citations
58. Learning an Executable Neural Semantic ParserComputational LinguisticsJianpeng Cheng, Siva Reddy, Vijay Saraswat, et al.2019 · 63 citations
59. XCodeEval: An Execution-based Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Mohammad Abdullah Matin Khan, M Saiful Bari, Xuan Long Do, et al.2024 · 51 citations
60. PanGu-Coder: Program Synthesis with Function-Level Language ModelingarXiv:2207.11280Fenia Christopoulou, Gerasimos Lampouras, Milan Gritta, et al.2022 · 49 citations
61. CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file ContextLanguage Resources and Evaluation Conference (LREC)Yangruibo Ding, Zijian Wang, Wasi Ahmad, et al.2024 · 45 citations
62. xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and RetrievalarXiv:2303.03004Mohammad Abdullah Matin Khan, M Saiful Bari, Xuan Long Do, et al.2023 · 42 citations
63. Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved SamplingarXiv:2410.11325Wenda Xu, Rujun Han, Zifeng Wang, et al.2024 · 41 citations
64. MambaByte: Token-free Selective State Space ModelarXiv:2401.13660Junxiong Wang, Tushaar Gangavarapu, Jing Nathan Yan, et al.2024 · 35 citations
65. L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Ansong Ni, Pengcheng Yin, Yilun Zhao, et al.2024 · 27 citations
66. Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token RecyclingAnnual Meeting of the Association for Computational Linguistics (ACL)Xianzhen Luo, Yixuan Wang, Qingfu Zhu, et al.2025 · 22 citations
67. NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User QueriesFindings of the Association for Computational LinguisticsShudan Zhang, Hanlin Zhao, Xiao Liu, et al.2024 · 17 citations
68. Text Generation from Discourse Representation StructuresJiangming Liu, Shay B. Cohen, Mirella Lapata2021 · 13 citations
69. CodeS: Natural Language to Code Repository via Multi-Layer SketcharXiv:2403.16443Daoguang Zan, Ailun Yu, Wei Liu, et al.2024 · 9 citations
70. SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative DecodingInternational Conference on Computational Linguistics (COLING)Zhenglin Wang, Jialong Wu, Yilong Lai, et al.2025 · 8 citations
71. LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and VerificationAnnual Meeting of the Association for Computational Linguistics (ACL)Penghui Yang, Cunxiao Du, Fengzhuo Zhang, et al.2026 · 5 citations
72. SSSD: Simply-Scalable Speculative DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Michele Marzollo, Jiawei Zhuang, Niklas Roemer, et al.2026 · 3 citations
73. RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to RepositoryAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyuan Peng, Xin Yin, Pu Zhao, et al.2026 · 1 citation
74. Deep Learning Based Code Generation Methods: Literature Review (基于深度学习的代码生成方法研究进展)Journal of SoftwareZezhou Yang (杨泽洲), Sirong Chen (陈思榕), Cuiyun Gao (高翠芸), et al.2023 · 1 citation
75. MARS: Unleashing the Power of Speculative Decoding via Margin-Aware VerificationFindings of the Association for Computational LinguisticsJingwei Song, Xinyu Wang, Hanbin Wang, et al.2026
76. Measuring Distribution Shift in User Prompts and Its Effects on LLM PerformanceAnnual Meeting of the Association for Computational Linguistics (ACL)Parker Seegmiller, Sarah Masud Preum2026
77. TokenTiming: A Dynamic Alignment Method for Universal Speculative Decoding Model PairsAnnual Meeting of the Association for Computational Linguistics (ACL)Sibo Xiao, Fu Jinyuan, Zhongle Xie, et al.2026

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