Yoav Artzi

Yoav Artzi is an Associate Professor in the Department of Computer Science at Cornell University and a core faculty member at Cornell Tech in NYC. He serves as the Associate Faculty Director at arXiv.org and is a researcher at ASAPP. His work focuses on building systems that enable machines to interact with humans through natural language while continuously improving through dynamic interactions. Key roles include:

• Cornell University, Department of Computer Science
• Cornell Tech, NYC campus
• arXiv.org Associate Faculty Director
• ASAPP Research Scientist

Education: B.Sc. from Tel Aviv University, Ph.D. from the University of Washington (advised by Luke Zettlemoyer). Research integrates NLP with robotics, computer vision, and cognitive science, emphasizing situated learning in multi-agent systems. Notable projects include the COLM conference, RecNet paper recommendation network, and LM-class educational resource. Awards include an NSF CAREER Award and paper recognitions at top venues.

Research interests span automated language acquisition, situated systems, and interactive learning. Recent work explores tokenization challenges, heterogeneous cluster training, and the role of RAG systems in modern LLMs. Advises students in vision-language systems and robotics. Active in organizing workshops like InterNLP and SpLU-RoboNLP.

Teaching includes advanced NLP courses (CS 5740, CS 6741). Labs focus on collaborative interaction platforms (CB2), visual reasoning benchmarks (lilGym), and multimodal learning tools. Current initiatives include launching COLM 2025 and advancing RecNet's paper discovery network.