About
Hal Daumé is a Volpi-Cupal endowed Professor of Computer Science and Language Science at the University of Maryland, where he leads TRAILS , an NSF & NIST-funded institute on Trustworthy AI; he is also a Senior Principal Researcher at Microsoft Research NYC. His research focus is on developing natural language processing systems that interact naturally with people, promote their self-efficacy, while mitigating societal harms. Together with his students and colleagues, he has received several awards, including best paper at AACL 2022, ACL 2018, NAACL 2016, CEAS 2011 and ECML 2009, test of time award at ACL 2022 (and nomination at ACL 2017), and best demo at NeurIPS 2015. He has been program chair for ICML 2020 (together with Aarti Singh) and for NAACL 2013 (together with Katrin Kirchhoff), and he was an inaugural diversity and inclusion co-chair at NeurIPS 2018 (with Katherine Heller). When not sciencing and teaching, he spends most of his time climbing, yogaing, cooking, backpacking, skiing, and biking.
Research Performance Summary
First Recorded Paper
Domain Adaptation for Statistical Classifiers
Year: 1993
Citations: 2
Venue: Journal of Artificial Intelligence Research 1
Latest Recorded Paper
Comment mesurer les biais politiques des grands modèles de langue multilingues?
Year: 2025
Citations: 0
Venue: Actes de l'atelier Ethic and Alignment of (Large) Language Models 2025 (EALM
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.