Mohit Iyyer
University of Maryland associate professor; former Young Investigator at Ai2
- Associate Professor, Computer Science, University of Maryland1
Mohit Iyyer is an associate professor in computer science at the University of Maryland and a member of its CLIP lab; Iyyer was previously an associate professor at UMass Amherst and a Young Investigator at AI2. Iyyer's research focuses on natural language processing and large language models, with current interests in long-form text generation, long-context language understanding, AI agents for collaborative writing, and detection of AI-generated text. Iyyer is a co-author of Deep contextualized word representations, which learns word vectors from the internal states of a deep bidirectional language model, and Iyyer's group has released benchmarks such as NoCha for long-context models and BEARCUBS for computer-using web agents.12
Work
Deep contextualized word representations (external site: arxiv.org)Published research
Co-author of the 2018 paper introducing deep contextualized word representations learned from a pretrained bidirectional language model, which can be added to existing NLP models.2
Earlier roles
- Young Investigator, Ai2 (Allen Institute for AI)1
- Associate Professor, Computer Science, University of Massachusetts Amherst1
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