X-Window Consortium Professor and Assistant Professor, Department of Electrical Engineering and Computer Science
Jacob Andreas is the X-Window Consortium Professor and assistant professor in MIT’s Department of Electrical Engineering and Computer Science, and a member of the Computer Science and Artificial Intelligence Laboratory. His research aims to understand the computational foundations of efficient language learning, and build general-purpose intelligent systems that can communicate effectively with humans and learn from human guidance. He earned a BS from Columbia University and an MPhil from the University of Cambridge, where he studied as a Churchill Scholar. He earned a PhD from the University of California, Berkeley,
- Hou, B., O’Connor, J., Andreas, J., Chang, S., Zhang, Y. (2023) PromptBoosting: Black-Box Text Classification with Ten Forward Passes. International Conference on Machine Learning (ICML).
- Hernandez, E., Schwettmann, S., Bau, D., Bagashvili, T., Torralba, A., Andreas, J. (2022) Natural Language Descriptions of Deep Visual Features. International Conference on Learning Representations (ICLR).