Wang, Sida I.

InCoder: A Generative Model for Code Infilling and Synthesis

Fried, D., Aghajanyan, A., Lin, J., Wang, S., Wallace, E., Shi, F., Zhong, R., Yih, W.-T., Zettlemoyer, L., & Lewis, M. (2022) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 187

Learning Language Games through Interaction

Wang, S. I., Liang, P., & Manning, C. D. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 132

Human Effort and Machine Learnability in Computer Aided Translation

Green, S., Wang, S. I., Chuang, J., Heer, J., Schuster, S., & Manning, C. D. (2014) · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Natural Language Processing TechniquesTranslation Studies and Practices

Cited by 68

Naturalizing a Programming Language via Interactive Learning

Wang, S. I., Ginn, S., Liang, P., & Manning, C. D. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesSpeech and dialogue systems

Cited by 59

Natural Language to Code Translation with Execution

Shi, F., Fried, D., Ghazvininejad, M., Zettlemoyer, L., & Wang, S. I. (2022) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 49

LEVER: Learning to Verify Language-to-Code Generation with Execution

Ni, A., Iyer, S., Radev, D., Stoyanov, V., Yih, W.-T., Wang, S. I., & Lin, X. V. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 46

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Jain, N., Han, K., Gu, A., Li, W.-D., Yan, F., Zhang, T., Wang, S., Solar-Lezama, A., Sen, K., & Stoica, I. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 42

Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?

Cao, R., Lei, F., Wu, H., Chen, J., Fu, Y., Gao, H., Xiong, X., Zhang, H., Mao, Y., Hu, W., et al. (2024) · Advances in Neural Information Processing Systems 37

Web Data Mining and AnalysisScientific Computing and Data Management

Cited by 15

CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution

Gu, A., Rozière, B., Leather, H., Solar-Lezama, A., Synnaeve, G., & Wang, S. I. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 7

Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Lei, F., Chen, J., Ye, Y., Cao, R., Shin, D., Su, H., Suo, Z., Gao, H., Hu, W., Yin, P., et al. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 7

SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?

Yang, J., Jimenez, C. E., Zhang, A. L., Lieret, K., Yang, J., Wu, X., Press, O., Muennighoff, N., Synnaeve, G., Narasimhan, K. R., et al. (2024) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 3

CWM: An Open-Weights LLM for Research on Code Generation with World Models

FAIR CodeGen team, Copet, J., Carbonneaux, Q., Cohen, G., Gehring, J., Kahn, J., Kossen, J., Kreuk, F., McMilin, E., Meyer, M., et al. (2025) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 0

What I cannot execute, I do not understand: Training and Evaluating LLMs on Program Execution Traces

Armengol-Estapé, J., Carbonneaux, Q., Zhang, T., Markosyan, A. H., Seeker, V., Cummins, C., Kambadur, M., O'Boyle, M. F. P., Wang, S., Synnaeve, G., et al. (2025) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 0