Jacob Andreas
X-Window Consortium Professor and Assistant Professor, Department of Electrical Engineering and Computer Science
Who they work with
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,
Selected Publications
- Jacob, A. P., Shen, Y., Farina, G. & Andreas, J. (2024). The Consensus Game: Language Model Generation via Equilibrium Search. The Proceedings of the International Conference on Learning Representations (ICLR).
- Schwettmann, S., Shaham, T. R., Materzyńska, J., Chowdhury, N., Li, S., Andreas, J., Bau, D. & Torralba, A. (2023). A Function Interpretation Benchmark for Evaluating Interpretability Methods. The Proceedings of the Conference on Neural Information Processing Systems (NeurIPS).
- 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).
- Akyürek, E. & Andreas, J. (2023). LexSym: Compositionality as Lexical Symmetry. Proceedings of the Association for Computational Linguistics (ACL).
Media
- April 2, 2020: MIT News, Teaching machines to reason about what they see.
- October 1, 2020: MIT News, Anticipating heart failure with machine learning.