Inala, Jeevana Priya

CodaMosa: Escaping Coverage Plateaus in Test Generation with Pre-trained Large Language Models

Lemieux, C., Inala, J. P., Lahiri, S. K., & Sen, S. (2023) · 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 306

Rethinking Interpretability in the Era of Large Language Models

Singh, C., Inala, J. P., Galley, M., Caruana, R., & Gao, J. (2024) · arXiv

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 50

Is Self-Repair a Silver Bullet for Code Generation?

Olausson, T. X., Inala, J. P., Wang, C., Gao, J., & Solar-Lezama, A. (2023) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 13

Data Analysis in the Era of Generative AI

Inala, J. P., Wang, C., Drucker, S., Ramos, G., Dibia, V., Riche, N., Brown, D., Marshall, D., & Gao, J. (2024) · arXiv

Data Visualization and AnalyticsSpreadsheets and End-User Computing

Cited by 4

CodeExp: Explanatory Code Document Generation

Cui, H., Wang, C., Huang, J., Inala, J. P., Mytkowicz, T., Wang, B., Gao, J., & Duan, N. (2022) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 2