Mackey, Lester

Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms

Schaffter, T., Buist, D. S. M., Lee, C. I., Nikulin, Y., Ribli, D., Guan, Y., Lotter, W., Jie, Z., Du, H., Wang, S., et al. (2020) · JAMA Network Open

AI in cancer detectionDigital Radiography and Breast Imaging

Cited by 409

Improving Subseasonal Forecasting in the Western U.S. with Machine Learning

Hwang, J., Orenstein, P., Cohen, J., Pfeiffer, K., & Mackey, L. (2019) · Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Climate variability and modelsMeteorological Phenomena and Simulations

Cited by 85

Adaptive bias correction for improved subseasonal forecasting

Mouatadid, S., Orenstein, P., Flaspohler, G., Cohen, J., Oprescu, M., Fraenkel, E., & Mackey, L. (2023) · Nature Communications

Meteorological Phenomena and SimulationsClimate variability and models

Cited by 54

Do Language Models Know When They’re Hallucinating References?

Agrawal, A., Suzgun, M., Mackey, L., & Kalai, A. (2024) · Findings of the Association for Computational Linguistics: EACL 2024

Topic ModelingMisinformation and Its Impacts

Cited by 37

Do Language Models Know When They’re Hallucinating References?

Agrawal, A., Suzgun, M., Mackey, L., & Kalai, A. T. (2023) · arXiv

Topic ModelingMisinformation and Its Impacts

Cited by 37

Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation

Zelikman, E., Lorch, E., Mackey, L., & Kalai, A. T. (2023) · arXiv

Software Engineering ResearchEvolutionary Algorithms and Applications

Cited by 4