Bhatia, Parminder

ReCode: Robustness Evaluation of Code Generation Models

Wang, S., Li, Z., Qian, H., Yang, C., Wang, Z., Shang, M., Kumar, V., Tan, S., Ray, B., Bhatia, P., et al. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Software Engineering ResearchTopic Modeling

Cited by 42

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

CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion

Ding, Y., Wang, Z., Ahmad, W. U., Ding, H., Tan, M., Jain, N., Ramanathan, M. K., Nallapati, R., Bhatia, P., Roth, D., et al. (2023) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 37

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

Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation

Konwer, A., Yang, Z., Bas, E., Xiao, C., Prasanna, P., Bhatia, P., & Kass-Hout, T. (2025) · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 17

TriSum: Learning summarization ability from large language models with structured rationale

Jiang, P., Xiao, C., Wang, Z., Bhatia, P., Sun, J., & Han, J. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingAdvanced Text Analysis Techniques

Cited by 11