Yoav Artzi

Yoav Artzi is an associate professor of computer science at Cornell Tech and the Cornell Ann S. Bowers College of Computing and Information Science. His research focuses on developing models and learning methods for natural language understanding and generation in interactive systems. Artzi’s research group at Cornell Tech is anchored in natural language processing and machine learning, and often extends to robotics, computer vision, and cognitive science. He is also a member of the Cornell Language, Interaction, and Learning (LIL) Lab. Artzi received an NSF CAREER award, and his work has also been acknowledged by awards and honorable mentions at ACL, EMNLP, NAACL, and IROS. He holds a B.Sc. from Tel Aviv University and a Ph.D. from the University of Washington. In addition, Artzi is the associate faculty director of arXiv, a research-sharing platform maintained and operated by Cornell Tech.

Yoav Artzi is a researcher at Cornell University with expertise in Language Modeling, Machine Learning, Natural Language Processing, and Artificial Intelligence. His work focuses on developing advanced models for text generation, semantic parsing, and natural language understanding. Artzi has contributed to creating datasets for reasoning about natural language grounded in visual contexts and has explored methods for evaluating text generation using BERT. His research also includes reinforcement learning for mapping instructions to actions in 3D environments and improving semantic parsers through weakly supervised learning. Artzi's publications highlight his commitment to advancing AI systems that can effectively process and generate natural language in complex environments.