🧑‍🔬 Who cites Shengyu Fu

181 citations of their works from 180 papers of our library (of the 149,439 whose bibliographies we read) · 39 with a page here, the most cited first · ← Shengyu Fu

1. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
2. Code Llama: Open Foundation Models for CodearXiv:2308.12950Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, et al.2024 · 1,430 citations
3. 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
4. Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
5. 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
6. Text and Code Embeddings by Contrastive Pre-TrainingarXiv:2201.10005Arvind Neelakantan, Tao Xu, Raul Puri, et al.2022 · 323 citations
7. Retrieval Augmented Code Generation and SummarizationFindings of the Association for Computational LinguisticsMd Rizwan Parvez, Wasi Ahmad, Saikat Chakraborty, et al.2021 · 193 citations
8. ReACC: A Retrieval-Augmented Code Completion FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Shuai Lu, Nan Duan, Hojae Han, et al.2022 · 125 citations
9. Can Language Models Solve Graph Problems in Natural Language?Conference on Neural Information Processing Systems (NeurIPS)Heng Wang, Shangbin Feng, Tianxing He, et al.2023 · 124 citations
10. CRUXEval: A Benchmark for Code Reasoning, Understanding and ExecutionarXiv:2401.03065Alex Gu, Baptiste Rozière, Hugh Leather, et al.2024 · 122 citations
11. AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and OptimisationarXiv:2312.13010Dong Huang, Jie M.Zhang, Michael Luck, et al.2023 · 90 citations
12. Planning with Large Language Models for Code GenerationarXiv:2303.05510Shun Zhang, Zhenfang Chen, Yikang Shen, et al.2023 · 90 citations
13. Multi-lingual Evaluation of Code Generation ModelsarXiv:2210.14868Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, et al.2022 · 86 citations
14. 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
15. Leveraging Automated Unit Tests for Unsupervised Code TranslationarXiv:2110.06773Baptiste Roziere, Jie M. Zhang, Francois Charton, et al.2022 · 40 citations
16. Fault-Aware Neural Code RankersConference on Neural Information Processing Systems (NeurIPS)Jeevana Priya Inala, Chenglong Wang, Mei Yang, et al.2022 · 39 citations
17. Code Execution with Pre-trained Language ModelsFindings of the Association for Computational LinguisticsChenxiao Liu, Shuai Lu, Weizhu Chen, et al.2023 · 38 citations
18. CodeI/O: Condensing Reasoning Patterns via Code Input-Output PredictionarXiv:2502.07316Junlong Li, Daya Guo, Dejian Yang, et al.2025 · 21 citations
19. CodeS: Natural Language to Code Repository via Multi-Layer SketcharXiv:2403.16443Daoguang Zan, Ailun Yu, Wei Liu, et al.2024 · 9 citations
20. EquiBench: Benchmarking Large Language Models' Reasoning about Program Semantics via Equivalence CheckingConference on Empirical Methods in Natural Language Processing (EMNLP)Anjiang Wei, Jiannan Cao, Ran Li, et al.2025 · 8 citations
21. MulVul: Retrieval-augmented Multi-Agent Code Vulnerability Detection via Cross-Model Prompt EvolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Zihan Wu, Jie Xu, Yun Peng, et al.2026 · 5 citations
22. Scaling Laws for Code: Every Programming Language MattersFindings of the Association for Computational LinguisticsJian Yang, Shuyue Guo, Linzheng Chai, et al.2026 · 2 citations
23. XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding AssistantsAnnual Meeting of the Association for Computational Linguistics (ACL)Adam Štorek, Mukur Gupta, Noopur Bhatt, et al.2026 · 2 citations
24. ExecVerify: White-Box RL with Verifiable Stepwise Rewards for Code Execution ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Lingxiao Tang, He Ye, Zhaoyang Chu, et al.2026 · 1 citation
25. UIT-AMMC at SemEval-2026 Task 13: Exploiting Structural Formatting Signatures for Robust AI-Generated Code DetectionInternational Workshop on Semantic Evaluation (SemEval)Cuong Pham, Minh Nguyen, Minh Le, et al.2026 · 1 citation
26. Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering TasksarXiv:2502.03806Kyi Shin Khant, Hong Yi Lin, Patanamon Thongtanunam2025 · 1 citation
27. Research Progress of Pre-trained Model in Software Engineering (预训练模型在软件工程领域应用研究进展)Journal of SoftwareLina Gong (宫丽娜), Yiren Zhou (周易人), Yu Qiao (乔羽), et al.2024 · 1 citation
28. 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
29. Bootstrapping Code Translation with Weighted Multilanguage ExplorationAnnual Meeting of the Association for Computational Linguistics (ACL)Yuhan Wu, Huan Zhang, Wei Cheng, et al.2026
30. FMISUYotkovaKastreva at SemEval-2026 Task 13: Lightweight Detection of LLM-Generated Code via Stylometric SignalsInternational Workshop on Semantic Evaluation (SemEval)Elitsa Yotkova, Violeta Kastreva, Dimitar Dimitrov, et al.2026
31. From Logical to Computational Sparsity: Structure-Aware Block-Sparse Attention for Long-Code CompletionAnnual Meeting of the Association for Computational Linguistics (ACL)Yanli Wang, Yanlin Wang, Bowen Zhang, et al.2026
32. HyperparameterOmens at SemEval-2026 Task 13: Various approaches to detecting machine- generated codeInternational Workshop on Semantic Evaluation (SemEval)Dmitry Sukhotin, How Yu2026
33. MIUN BiasPatrol at SemEval-2026 Task 13: Why TF-IDF can Beat Transformers for OOD Code DetectionInternational Workshop on Semantic Evaluation (SemEval)Loviza Sahlen, Thomas Springfeldt, Mehwish Fatima, et al.2026
34. Pixel Phantoms at SemEval-2026 Task 13: Exploring Classical and Neural Approaches for AI-Generated Code DetectionInternational Workshop on Semantic Evaluation (SemEval)Jithu Morrison S, Janani Hariharakrishnan, Angel Deborah S, et al.2026
35. Team Yuvan at SemEval-2026 Task 13: Task-Adaptive Ensemble Strategies for AI-Generated Code DetectionInternational Workshop on Semantic Evaluation (SemEval)Yuvan Ramesh, Tongtong Wu2026
36. UniGeM: Unifying Data Selection and Mixing via Geometric Exploration and MiningFindings of the Association for Computational LinguisticsChanghao Wang, Yunfeiyu, Xinhao Yao, et al.2026
37. YNU-HPCC at SemEval-2026 Task 13: Robust Machine-Generated Code Detection under Distribution ShiftsInternational Workshop on Semantic Evaluation (SemEval)Lixian Xing, Jin Wang, Xuejie Zhang2026
38. Survey on Application of Retrieval-augmented Generation in Software Engineering (检索增强生成在软件工程中的应用综述)Journal of SoftwareQuanjun Zhang (张犬俊), Yang Xie (谢杨), Chunrong Fang (房春荣), et al.2025
39. 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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