Assistant Professor, Department of Electrical Engineering and Computer Science
Jacob Andreas is the X Consortium Career Development 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,
- Mu, J., and Andreas, J. (2020). Compositional Explanations of Neurons. Neural Information Processing Systems (NeurIPS).
- Akyürek, E., Akyürek, A. F., Andreas, J. (2021). Learning to recombine and resample data for compositional generalization. International Conference on Learning Representations (ICLR).
- Semantic Machines, Andreas, J., Bufe, J., Burkett, D., Chen, C., et al. (2020). Task-Oriented Dialogue as Dataflow Synthesis. Transactions of the Association for Computational Linguistics (TACL).