Sundaresan, Neel
Microsoft (United States)
8 papers on CoChatORCID 0000-0002-0394-7588
Most cited papers
- Verified
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Lu, S., Guo, D., Ren, S., Huang, J., Svyatkovskiy, A., Blanco, A., Clement, C., Drain, D., Jiang, D., Tang, D., et al. (2021) · arXiv
Software Engineering ResearchTopic Modeling
Cited by 536
- Verified · note
GraphCodeBERT: Pre-training Code Representations with Data Flow
Guo, D., Ren, S., Lu, S., Feng, Z., Tang, D., Liu, S., Zhou, L., Duan, N., Svyatkovskiy, A., Fu, S., et al. (2020) · arXiv
Software Engineering ResearchTopic Modeling
Cited by 480
- Verified
IntelliCode compose: code generation using transformer
Svyatkovskiy, A., Deng, S. K., Fu, S., & Sundaresan, N. (2020) · Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
Software Engineering ResearchSoftware Testing and Debugging Techniques
Cited by 474
- Verified
CodeBLEU: a Method for Automatic Evaluation of Code Synthesis
Ren, S., Guo, D., Lu, S., Zhou, L., Liu, S., Tang, D., Sundaresan, N., Zhou, M., Blanco, A., & Ma, S. (2020) · arXiv
Software Engineering ResearchTeaching and Learning Programming
Cited by 214
- Verified
InferFix: End-to-End Program Repair with LLMs
Jin, M., Shahriar, S., Tufano, M., Shi, X., Lu, S., Sundaresan, N., & Svyatkovskiy, A. (2023) · Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
Software Testing and Debugging TechniquesSoftware Engineering Research
Cited by 191
- Verified
Program merge conflict resolution via neural transformers
Svyatkovskiy, A., Fakhoury, S., Ghorbani, N., Mytkowicz, T., Dinella, E., Bird, C., Jang, J., Sundaresan, N., & Lahiri, S. K. (2022) · Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 38
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DeepDev-PERF: a deep learning-based approach for improving software performance
Garg, S., Moghaddam, R. Z., Clement, C. B., Sundaresan, N., & Wu, C. (2022) · Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
Software Engineering ResearchSoftware System Performance and Reliability
Cited by 24
- Verified
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy
Clement, C., Lu, S., Liu, X., Tufano, M., Drain, D., Duan, N., Sundaresan, N., & Svyatkovskiy, A. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Software Engineering ResearchTopic Modeling
Cited by 12
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