Hal Daumé III
Hal Daumé III
Hal Daumé III is the director of the Artificial Intelligence Interdisciplinary Institute at Maryland (AIM). He is a Volpi-Cupal Endowed Professor of Computer Science and Language Science at the University of Maryland, where he also leads TRAILS, an NSF & NIST-funded institute on Trustworthy AI. 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.
Latest Papers
Can You Make It Sound Like You? Post-Editing LLM-Generated Text for Personal Style
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Proceedings of the Conference of the Association for Computational Linguistics (ACL)
SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language Models
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Proceedings of the Conference of the Association for Computational Linguistics (ACL)
Can Hallucination Correction Improve Video-Language Alignment?
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Proceedings of the Conference of the Association for Computational Linguistics (ACL)
'Rich Dad, Poor Lad': How do Large Language Models Contextualize Socioeconomic Factors in College Admission?
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Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)
