Jenkins, Samuel

Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning

Kaur, H., Nori, H., Jenkins, S., Caruana, R., Wallach, H., & Wortman Vaughan, J. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Data Visualization and Analytics

Cited by 564

InterpretML: A Unified Framework for Machine Learning Interpretability

Nori, H., Jenkins, S., Koch, P., & Caruana, R. (2019) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 322

JSONSchemaBench: A Rigorous Benchmark of Structured Outputs for Language Models

Geng, S., Cooper, H., Moskal, M., Jenkins, S., Berman, J., Ranchin, N., West, R., Horvitz, E., & Nori, H. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3