mohit iyyer

miyyer@cs.umass.edu // CV // Scholar // github // twitter



I am an associate professor in computer science at UMass Amherst and a member of UMass NLP. Previously, I was a Young Investigator at AI2; before that, I completed my PhD at the University of Maryland, College Park, advised by Jordan Boyd-Graber and Hal Daumé III. My research interests lie broadly in natural language processing and machine learning. Problems that I'm currently excited about include:

(1) Designing improved methods for modeling and evaluating long-form text generation (e.g., document-level translation, long-form QA)
(2) Building machine-in-the-loop text generation systems that help human authors compose text
(3) Understanding and generating fictional narratives


GROUP Nader Akoury
Yapei Chang
Andrew Drozdov (w/ Andrew McCallum)
Marzena Karpinska (postdoc)
Yekyung Kim
Chau Pham
Yixiao Song (w/ Rajesh Bhatt)
Simeng Sun
Katherine Thai
Shufan Wang

Former PhD students:
Tu Vu (PhD 2023, now Research Scientist @ Google & Asst. Prof @ Virginia Tech)
Kalpesh Krishna (PhD 2023, now Research Scientist @ Google Bard)

Also see my group's other awesome alumni!

If you're a prospective PhD student, click here for more info.

If you're a current undergraduate or MS student at UMass interested in research, click here.


TEACHING Fall 2023: NLP seminar (CS 692L)
Spring 2023: Advanced Natural Language Processing (CS 685)
Spring 2022: Advanced Natural Language Processing (CS 685)
Fall 2021: Advanced Natural Language Processing (CS 685)
Fall 2020: Advanced Natural Language Processing (CS 685)
Fall 2019: Introduction to Natural Language Processing (CS 585)
Spring 2019: Deep Learning for Natural Language Processing (CS 690D)
Fall 2018: Introduction to Natural Language Processing (CS 585)

preprints

publications