World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
12404
World Ranking
5797
National Ranking
2633

Overview

Jordan Boyd-Graber is affiliated with the University of Maryland, College Park in the United States. Their research primarily centers on computer science, with a particular focus on artificial intelligence as the main subfield. The body of work includes contributions in computer vision and pattern recognition, general social sciences, signal processing, and information systems.

Their research topics encompass several areas, notably:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Computational and Text Analysis Methods
  • Advanced Text Analysis Techniques
  • Speech and Dialogue Systems
  • Domain Adaptation and Few-Shot Learning

Boyd-Graber has published extensively in a variety of academic venues. The most frequent venue for their publications is arXiv (Cornell University), with 40 publications. Other notable venues include the Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), JMIR Formative Research, and Proceedings of the AAAI Conference on Artificial Intelligence.

The following are some recent papers authored or co-authored by Boyd-Graber:

  • "Prompting GPT-3 To Be Reliable" (2022, arXiv (Cornell University))
  • "Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence" (2021, arXiv (Cornell University))
  • "NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned" (2021, arXiv (Cornell University))
  • "CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims" (2020, Zurich Open Repository and Archive (University of Zurich))
  • "ClimaText: A Dataset for Climate Change Topic Detection" (2020, arXiv (Cornell University))

Frequent collaborators in Boyd-Graber's work include Chen Zhao, Chenglei Si, Hal Daumé, Michelle Yuan, and Alexander Hoyle. Collaboration counts with these co-authors range from four to eight joint publications, signaling ongoing partnerships in various research endeavors.

Best Publications

  • Reading Tea Leaves: How Humans Interpret Topic Models

    Jonathan Chang;Sean Gerrish;Chong Wang;Jordan L. Boyd-graber

  • Deep Unordered Composition Rivals Syntactic Methods for Text Classification

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

  • A Neural Network for Factoid Question Answering over Paragraphs

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

  • Interactive Topic Modeling

    Yuening Hu;Jordan Boyd-Graber;Brianna Satinoff

  • Political Ideology Detection Using Recursive Neural Networks

    Mohit Iyyer;Peter Enns;Jordan Boyd-Graber;Philip Resnik

  • A Topic Model for Word Sense Disambiguation

    Jordan Boyd-Graber;David Blei;Xiaojin Zhu

  • Applications of Topic Models

    Jordan L. Boyd-Graber;Yuening Hu;David M. Mimno

  • Pathologies of Neural Models Make Interpretations Difficult

    Shi Feng;Eric Wallace;Alvin Grissom;Mohit Iyyer

  • Syntactic Topic Models

    Jordan L. Boyd-graber;David M. Blei

  • Beyond LDA: Exploring Supervised Topic Modeling for Depression-Related Language in Twitter

    Philip Resnik;William Armstrong;Leonardo Claudino;Thang Nguyen

  • Language Models

    Unknown

  • Mr. LDA: a flexible large scale topic modeling package using variational inference in MapReduce

    Ke Zhai;Jordan Boyd-Graber;Nima Asadi;Mohamad L. Alkhouja

  • Opponent modeling in deep reinforcement learning

    He He;Jordan Boyd-Graber;Kevin Kwok;Hal Daumé

  • Adding dense, weighted connections to WordNet

    Jordan Boyd-Graber;Christiane Fellbaum;Daniel Osherson;Robert Schapire

  • Connections between the lines: augmenting social networks with text

    Jonathan Chang;Jordan Boyd-Graber;David M. Blei

  • Prompting GPT-3 To Be Reliable

    Unknown

  • Care and Feeding of Topic Models: Problems, Diagnostics, and Improvements

    Edoardo M. Airoldi;David M. Blei;Elena A. Erosheva;Stephen E. Fienberg

  • Can You Unpack That? Learning to Rewrite Questions-in-Context

    Ahmed Elgohary;Denis Peskov;Jordan L. Boyd-Graber

  • Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships

    Mohit Iyyer;Anupam Guha;Snigdha Chaturvedi;Jordan L. Boyd-Graber

  • Holistic Sentiment Analysis Across Languages: Multilingual Supervised Latent Dirichlet Allocation

    Jordan Boyd-Graber;Philip Resnik

  • Multilingual topic models for unaligned text

    Jordan Boyd-Graber;David M. Blei

  • Cold-start Active Learning through Self-supervised Language Modeling

    Michelle Yuan;Hsuan-Tien Lin;Jordan L. Boyd-Graber

  • CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims

    Thomas Diggelmann;Jordan L. Boyd-Graber;Jannis Bulian;Massimiliano Ciaramita

Frequent Co-Authors

Hal Daumé
Hal Daumé University of Maryland, College Park
Philip Resnik
Philip Resnik University of Maryland, College Park
Leah Findlater
Leah Findlater University of Washington
Pedro Rodriguez
Pedro Rodriguez Luxembourg Institute of Science and Technology
David M. Blei
David M. Blei Columbia University
Michael J. Paul
Michael J. Paul University of Colorado Boulder
Benjamin Van Durme
Benjamin Van Durme Johns Hopkins University
Graham Neubig
Graham Neubig Carnegie Mellon University
David Mimno
David Mimno Cornell University
Massimiliano Ciaramita
Massimiliano Ciaramita Google (United States)

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

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying computer science in the USA opens doors to a variety of related online degree programs and career paths. One popular choice for tech-savvy graduates is pursuing a cyber security masters, which prepares students for high-demand roles protecting digital infrastructure.

If you’re interested in project management and technology’s impact on the built environment, consider an online degree in construction management. This field blends engineering, management, and computer science skills to lead complex construction projects.

Budget is often a key concern when selecting an online program. For those drawn to public service or law enforcement, understanding criminal justice degree cost can help you make a more informed educational choice. Similarly, for aspiring financial professionals, researching the cost of accounting degree ensures you find the most affordable route to your qualification.

Exploring these related degrees can help you discover new career pathways while making wise financial decisions about your education.

Best Scientists Citing Jordan Boyd-Graber

Trending Scientists