🧑‍🔬 Who cites Fumin Wang

162 citations of their works from 162 papers of our library (of the 149,439 whose bibliographies we read) · 23 with a page here, the most cited first · ← Fumin Wang

1. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
2. Evaluating Large Language Models Trained on CodearXiv:2107.03374Mark Chen, Jerry Tworek, Heewoo Jun, et al.2021 · 2,659 citations
3. Pointer Sentinel Mixture ModelsarXiv:1609.07843Stephen Merity, Caiming Xiong, James Bradbury, et al.2016 · 1,733 citations
4. 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
5. Program Synthesis with Large Language ModelsarXiv:2108.07732Jacob Austin, Augustus Odena, Maxwell Nye, et al.2021 · 1,192 citations
6. Do As I Can, Not As I Say: Grounding Language in Robotic AffordancesarXiv:2204.01691Michael Ahn, Anthony Brohan, Noah Brown, et al.2022 · 941 citations
7. Sentence Simplification with Deep Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Xingxing Zhang, Mirella Lapata2017 · 568 citations
8. A Network-based End-to-End Trainable Task-oriented Dialogue SystemConference of the European Chapter of the Association for Computational Linguistics (EACL)Tsung-Hsien Wen, David Vandyke, Nikola Mrkšić, et al.2017 · 534 citations
9. Measuring Coding Challenge Competence With APPSarXiv:2105.09938Dan Hendrycks, Steven Basart, Saurav Kadavath, et al.2021 · 457 citations
10. TextWorld: A Learning Environment for Text-based GamesCommunications in computer and information scienceMarc-Alexandre Cote, Akos Kadar, Xingdi Yuan, et al.2018 · 339 citations
11. 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
12. A Survey of Reinforcement Learning Informed by Natural LanguageInternational Joint Conference on Artificial IntelligenceJelena Luketina, Nantas Nardelli, Gregory Farquhar, et al.2019 · 231 citations
13. Self-planning Code Generation with Large Language ModelsACM Transactions on Software Engineering and MethodologyXue Jiang, Yihong Dong, Lecheng Wang, et al.2023 · 223 citations
14. A Survey of Machine Learning for Big Code and NaturalnessACM Computing SurveysMiltiadis Allamanis, Earl T. Barr, Premkumar Devanbu, et al.2017 · 167 citations
15. Insertion-based Decoding with Automatically Inferred Generation OrderTransactions of the Association for Computational Linguistics (TACL)Jiatao Gu, Qi Liu, Kyunghyun Cho2019 · 125 citations
16. BabyAI: A Platform to Study the Sample Efficiency of Grounded Language LearningarXiv:1810.08272Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, et al.2018 · 123 citations
17. Natural Language to Code Translation with ExecutionConference on Empirical Methods in Natural Language Processing (EMNLP)Freda Shi, Daniel Fried, Marjan Ghazvininejad, et al.2022 · 116 citations
18. SPoC: Search-based Pseudocode to CodearXiv:1906.04908Sumith Kulal, Panupong Pasupat, Kartik Chandra, et al.2019 · 96 citations
19. A Survey of Reinforcement Learning from Human FeedbackTransactions on Machine Learning ResearchTimo Kaufmann, Paul Weng, Viktor Bengs, et al.2023 · 92 citations
20. 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
21. 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
22. 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
23. Survey on Code Generation with LLM-based Agents (基于大语言模型智能体的代码生成综述)Journal of SoftwareYihong Dong (董益宏), Xue Jiang (姜雪), Jiaru Qian (钱家如), et al.2025

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