🔗 Who cites «PyMT5: multi-mode translation of natural language and Python code with transformers»

38 papers of our library cite it (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · ← back to «PyMT5: multi-mode translation of natural language and Python code with transformers»

1. Evaluating Large Language Models Trained on CodearXiv:2107.03374Mark Chen, Jerry Tworek, Heewoo Jun, et al.2021 · 2,659 citations
2. Competition-Level Code Generation with AlphaCodeScienceYujia Li, David Choi, Junyoung Chung, et al.2022 · 1,564 citations
3. Program Synthesis with Large Language ModelsarXiv:2108.07732Jacob Austin, Augustus Odena, Maxwell Nye, et al.2021 · 1,192 citations
4. 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
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. CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement LearningConference on Neural Information Processing Systems (NeurIPS)Hung Le, Yue Wang, Akhilesh Deepak Gotmare, et al.2022 · 297 citations
7. BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex InstructionsarXiv:2406.15877Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, et al.2024 · 176 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. InterCode: Standardizing and Benchmarking Interactive Coding with Execution FeedbackConference on Neural Information Processing Systems (NeurIPS)John Yang, Akshara Prabhakar, Karthik Narasimhan, et al.2023 · 95 citations
10. MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code GenerationarXiv:2208.08227Federico Cassano, John Gouwar, Daniel Nguyen, et al.2022 · 88 citations
11. RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement LearningarXiv:2410.02089Jonas Gehring, Kunhao Zheng, Jade Copet, et al.2024 · 51 citations
12. PanGu-Coder: Program Synthesis with Function-Level Language ModelingarXiv:2207.11280Fenia Christopoulou, Gerasimos Lampouras, Milan Gritta, et al.2022 · 49 citations
13. ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming LanguagesarXiv:2212.06742Yekun Chai, Shuohuan Wang, Chao Pang, et al.2022 · 32 citations
14. 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

24 more papers of our library cite it; they have no page here yet.

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