Nori, Harsha

Sparks of Artificial General Intelligence: Early experiments with GPT-4

Bubeck, S., Chandrasekaran, V., Eldan, R., Gehrke, J., Horvitz, E., Kamar, E., Lee, P., Lee, Y. T., Li, Y., Lundberg, S., et al. (2023) · arXiv

Topic ModelingArtificial Intelligence Applications

Cited by 1,526

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

Capabilities of GPT-4 on Medical Challenge Problems

Nori, H., King, N., McKinney, S. M., Carignan, D., & Horvitz, E. (2023) · arXiv

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 509

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

Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine

Nori, H., Lee, Y. T., Zhang, S., Carignan, D., Edgar, R., Fusi, N., King, N., Larson, J., Li, Y., Liu, W., et al. (2023) · arXiv

Topic ModelingArtificial Intelligence in Healthcare and Education

Cited by 178

Supporting Human-AI Collaboration in Auditing LLMs with LLMs

Rastogi, C., Ribeiro, M. T., King, N., Nori, H., & Amershi, S. (2023) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 79

From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond

Nori, H., Usuyama, N., King, N., McKinney, S. M., Fernandes, X., Zhang, S., & Horvitz, E. (2024) · arXiv

Topic ModelingArtificial Intelligence in Healthcare and Education

Cited by 9

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