2026 Hal Daumé: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	70	1854	1795	946	909	221	22821

Overview

Hal Daumé is affiliated with the University of Maryland, College Park in the United States. Their research primarily spans the field of Computer Science, with a focus on subfields such as Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Safety Research, and Health Informatics.

The scientist's work covers a variety of topics, including:

Topic Modeling
Explainable Artificial Intelligence (XAI)
Natural Language Processing Techniques
Ethics and Social Impacts of AI
Multimodal Machine Learning Applications
Software Engineering Research
Expert finding and Q&A systems

Hal Daumé has published extensively in several academic venues, with a notable frequency in:

arXiv (Cornell University)
PLoS ONE
Communications of the ACM
Proceedings of the ACM on Human-Computer Interaction
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Recent publications include:

"Datasheets for datasets", 2021, Communications of the ACM
"Spoken language interaction with robots: Recommendations for future research", 2021, Computer Speech & Language
"Human-Centered Explainable AI (HCXAI): Beyond Opening the Black-Box of AI", 2022, CHI Conference on Human Factors in Computing Systems Extended Abstracts
"Evaluating the Social Impact of Generative AI Systems in Systems and Society", 2023, arXiv (Cornell University)
"Toward Gender-Inclusive Coreference Resolution: An Analysis of Gender and Bias Throughout the Machine Learning Lifecycle", 2021, Computational Linguistics

Hal Daumé has collaborated frequently with several researchers, including:

Ivan Stelmakh
Nihar B. Shah
Jennifer Wortman Vaughan
Rachel Rudinger
Charvi Rastogi

Best Publications

Frustratingly Easy Domain Adaptation

Hal Daume Iii

2096
Citations
Datasheets for datasets

Timnit Gebru;Jamie Morgenstern;Briana Vecchione;Jennifer Wortman Vaughan

1401
Citations
Co-regularized Multi-view Spectral Clustering

Abhishek Kumar;Piyush Rai;Hal Daume

1099
Citations
Domain adaptation for statistical classifiers

Hal Daumé;Daniel Marcu

1050
Citations
Deep Unordered Composition Rivals Syntactic Methods for Text Classification

Mohit Iyyer;Varun Manjunatha;Jordan Boyd-Graber;Hal Daumé Iii

959
Citations
Generalized Multiview Analysis: A discriminative latent space

Abhishek Sharma;Abhishek Kumar;Hal Daume;David W. Jacobs

818
Citations
Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?

Kenneth Holstein;Jennifer Wortman Vaughan;Hal Daumé;Miro Dudik

802
Citations
A Co-training Approach for Multi-view Spectral Clustering

Abhishek Kumar;Hal Daume

781
Citations
Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Su Lin Blodgett;Solon Barocas;Hal Daumé;Hanna M. Wallach

764
Citations
Search-based structured prediction

Hal Daumé;John Langford;Daniel Marcu

634
Citations
Learning Task Grouping and Overlap in Multi-task Learning

Abhishek Kumar;Hal Daume

489
Citations
Midge: Generating Image Descriptions From Computer Vision Detections

Margaret Mitchell;Jesse Dodge;Amit Goyal;Kota Yamaguchi

485
Citations
A Neural Network for Factoid Question Answering over Paragraphs

Mohit Iyyer;Jordan Boyd-Graber;Leonardo Claudino;Richard Socher

447
Citations
Corpus-Guided Sentence Generation of Natural Images

Yezhou Yang;Ching Teo;Hal Daume Iii;Yiannis Aloimonos

436
Citations
Incorporating Lexical Priors into Topic Models

Jagadeesh Jagarlamudi;Hal Daume Iii;Raghavendra Udupa

324
Citations
Learning as search optimization: approximate large margin methods for structured prediction

Hal Daumé;Daniel Marcu

323
Citations
Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Lucy Vanderwende;Hal Daumé;Katrin Kirchhoff

319
Citations
Online Learning of Multiple Tasks and Their Relationships

Avishek Saha;Piyush Rai;Hal Daumé;Suresh Venkatasubramanian

260
Citations
Bayesian Query-Focused Summarization

Hal Daumé Iii;Daniel Marcu

247
Citations
Frustratingly Easy Semi-Supervised Domain Adaptation

Hal Daumé Iii;Abhishek Kumar;Avishek Saha

231
Citations
Bayesian Query-Focused Summarization

Hal Daumé

4
Citations
Technical Report: When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks

Octavian Suciu;Radu Mărginean;Yiğitcan Kaya;Hal Daumé

1
Citations

Frequent Co-Authors

John Langford Microsoft (United States)

Jordan Boyd-Graber University of Maryland, College Park

Daniel Marcu University of Southern California

Suresh Venkatasubramanian Brown University

Alekh Agarwal Google (United States)

Philip Resnik University of Maryland, College Park

Hanna Wallach Microsoft (United States)

Kai-Wei Chang University of California, Los Angeles

Lise Getoor University of California, Santa Cruz

Akshay Krishnamurthy Microsoft (United States)

External Links

Personal website of Hal Daumé

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

As technology continues to evolve, so do the options for earning a Computer Science degree online. Today, online schools offer flexible, accredited programs ideal for students balancing studies with other commitments.

Pursuing specialized fields has become more accessible as well. For example, students interested in game development can explore game design online masters, which equip them for creative roles in a booming industry. Likewise, the increasing need for digital security professionals has boosted the popularity of cybersecurity online degrees, addressing critical industry shortages.

Computer Science knowledge also opens doors beyond traditional IT fields. For instance, those drawn to project management and infrastructure can benefit from construction management courses, blending tech skills with leadership in construction and engineering.

Online degrees in these areas not only provide flexibility but also align with a range of emerging career pathways in tech, design, security, and management.