Ahmad, Wasi Uddin

Unified Pre-training for Program Understanding and Generation

Ahmad, W., Chakraborty, S., Ray, B., & Chang, K.-W. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Software Engineering ResearchTopic Modeling

Cited by 642

Retrieval Augmented Code Generation and Summarization

Parvez, M. R., Ahmad, W., Chakraborty, S., Ray, B., & Chang, K.-W. (2021) · Findings of the Association for Computational Linguistics: EMNLP 2021

Software Engineering ResearchTopic Modeling

Cited by 141

AVATAR: A Parallel Corpus for Java-Python Program Translation

Ahmad, W. U., Tushar, M. G. R., Chakraborty, S., & Chang, K.-W. (2021) · arXiv

Software Engineering ResearchNatural Language Processing Techniques

Cited by 46

AVATAR: A Parallel Corpus for Java-Python Program Translation

Ahmad, W. U., Tushar, M. G. R., Chakraborty, S., & Chang, K.-W. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Software Engineering ResearchNatural Language Processing Techniques

Cited by 46

Multi-lingual Evaluation of Code Generation Models

Athiwaratkun, B., Gouda, S. K., Wang, Z., Li, X., Tian, Y., Tan, M., Ahmad, W. U., Wang, S., Sun, Q., Shang, M., et al. (2022) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 38

CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context

Ding, Y., Wang, Z., Ahmad, W. U., Ramanathan, M. K., Nallapati, R., Bhatia, P., Roth, D., & Xiang, B. (2022) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 20

Repoformer: Selective Retrieval for Repository-Level Code Completion

Wu, D., Ahmad, W. U., Zhang, D., Ramanathan, M. K., & Ma, X. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 7

OpenCodeReasoning: Advancing Data Distillation for Competitive Coding

Ahmad, W. U., Narenthiran, S., Majumdar, S., Ficek, A., Jain, S., Huang, J., Noroozi, V., & Ginsburg, B. (2025) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 2

Llama-Nemotron: Efficient Reasoning Models

Bercovich, A., Levy, I., Golan, I., Dabbah, M., El-Yaniv, R., Puny, O., Galil, I., Moshe, Z., Ronen, T., Nabwani, N., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models

NVIDIA, :, Blakeman, A., Basant, A., Khattar, A., Renduchintala, A., Bercovich, A., Ficek, A., Bjorlin, A., Taghibakhshi, A., et al. (2025) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 0

BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution

Zhuo, T. Y., Jin, X., Liu, H., Jiang, J., Liu, T., Gong, C., Bishnoi, B., Mishra, V., Suppa, M., Ziems, N., et al. (2025) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 0