I am an associate professor in the University of Maryland Computer Science Department (tenure home), Institute of Advanced Computer Studies, iSchool, and Language Science Center. Previously, I was an assistant professor at Colorado's Department of Computer Science (tenure granted in 2017). I was a graduate student at Princeton with David Blei.

My research focuses on making machine learning more useful, more interpretable, and able to learn and interact from humans. This helps users sift through decades of documents; discover when individuals lie, reframe, or change the topic in a conversation; or to compete against humans in games that are based in natural language.

• My One-page CV
• My Long (and ugly) CV
• My Google Scholar page

Recent Publications

• Chen Zhao, Chenyan Xiong, Hal Daumé III, and Jordan Boyd-Graber. Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval. North American Association of Computational Linguistics, 2021. [Paper Read Aloud] [Bibtex]
  
  

  @inproceedings{Zhao:Xiong:Daume-III:Boyd-Graber-2021,
  	Title = {Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval},
  	Author = {Chen Zhao and Chenyan Xiong and Hal {Daum\'{e} III} and Jordan Boyd-Graber},
  	Booktitle = {North American Association of Computational Linguistics},
  	Year = {2021},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2021_naacl_multi_ance.pdf},
  }
  

• Julian Martin Eisenschlos, Bhuwan Dhingra, Jannis Bulian, Benjamin Börschinger, and Jordan Boyd-Graber. Fool Me Twice: Entailment from Wikipedia Gamification. North American Association of Computational Linguistics, 2021. [Preprint] [Research Talk] [Code and Data] [Paper Read Aloud] [Play] [Bibtex]
  
  

  @inproceedings{Eisenschlos:Dhingra:Bulian:B\"orschinger:Boyd-Graber-2021,
  	Title = {Fool Me Twice: Entailment from Wikipedia Gamification},
  	Author = {Julian Martin Eisenschlos and Bhuwan Dhingra and Jannis Bulian and Benjamin B\"orschinger and Jordan Boyd-Graber},
  	Booktitle = {North American Association of Computational Linguistics},
  	Year = {2021},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2021_naacl_fm2.pdf},
  }
  

  
  
• Alexander Hoyle, Pranav Goel, Denis Peskov, Andrew Hian-Cheong, Jordan Boyd-Graber, and Philip Resnik. Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence. Neural Information Processing Systems, 2021. [ArXiv] [Research Talk] [Code] [Bibtex]
  
  

  @inproceedings{Hoyle:Goel:Peskov:Hian-Cheong:Boyd-Graber:Resnik-2021,
  	Title = {Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence},
  	Author = {Alexander Hoyle and Pranav Goel and Denis Peskov and Andrew Hian-Cheong and Jordan Boyd-Graber and Philip Resnik},
  	Booktitle = {Neural Information Processing Systems},
  	Location = {Online},
  	Year = {2021},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2021_neurips_incoherence.pdf},
  }
  

  
  
• Denis Peskov, Viktor Hangya, Jordan Boyd-Graber, and Alexander Fraser. Adapting Entities across Languages and Cultures. Findings of Empirical Methods in Natural Language Processing, 2021. [Research Talk] [Bibtex]
  
  

  @inproceedings{Peskov:Hangya:Boyd-Graber:Fraser-2021,
  	Title = {Adapting Entities across Languages and Cultures},
  	Author = {Denis Peskov and Viktor Hangya and Jordan Boyd-Graber and Alexander Fraser},
  	Booktitle = {Findings of Empirical Methods in Natural Language Processing},
  	Year = {2021},
  	Location = {Punta Cana},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2021_emnlp_adaptation.pdf},
  }
  

  
  
• Chenglei Si, Chen Zhao, and Jordan Boyd-Graber. What's in a Name? Answer Equivalence For Open-Domain Question Answering. Empirical Methods in Natural Language Processing, 2021. [Research Talk] [Bibtex]
  
  

  @inproceedings{Si:Zhao:Boyd-Graber-2021,
  	Title = {What's in a Name? Answer Equivalence For Open-Domain Question Answering},
  	Author = {Chenglei Si and Chen Zhao and Jordan Boyd-Graber},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Year = {2021},
  	Location = {Punta Cana},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2021_emnlp_answer_equiv.pdf},
  }
  

  
  
• Maharshi Gor, Kellie Webster, and Jordan Boyd-Graber. Toward Deconfounding the Influence of Subject's Demographic Characteristics in Question Answering. Empirical Methods in Natural Language Processing, 2021. [Research Talk] [Bibtex]
  
  

  @inproceedings{Gor:Webster:Boyd-Graber-2021,
  	Title = {Toward Deconfounding the Influence of Subject's Demographic Characteristics in Question Answering},
  	Author = {Maharshi Gor and Kellie Webster and Jordan Boyd-Graber},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Year = {2021},
  	Location = {Punta Cana},
  	Pages = {6},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2021_emnlp_qa_fairness.pdf},
  }
  

  
  
• Pedro Rodriguez and Jordan Boyd-Graber. Evaluation Paradigms in Question Answering. Empirical Methods in Natural Language Processing, 2021. [Research Talk] [Bibtex]
  
  

  @inproceedings{Rodriguez:Boyd-Graber-2021,
  	Title = {Evaluation Paradigms in Question Answering},
  	Author = {Pedro Rodriguez and Jordan Boyd-Graber},
  	Location = {Punta Cana},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Year = {2021},
  	Pages = {5},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2021_emnlp_paradigms.pdf},
  }
  

  
  
• Chen Zhao, Chenyan Xiong, Jordan Boyd-Graber, and Hal Daumé III. Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation. Empirical Methods in Natural Language Processing, 2021. [Code] [Research Talk] [Bibtex]
  
  

  @inproceedings{Zhao:Xiong:Boyd-Graber:Daume-III-2021,
  	Title = {Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation},
  	Author = {Chen Zhao and Chenyan Xiong and Jordan Boyd-Graber and Hal {Daum\'{e} III}},
  	Booktitle = {Empirical Methods in Natural Language Processing},
  	Year = {2021},
  	Location = {Punta Cana},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2021_emnlp_weak_dpr.pdf},
  }
  

  
  
• Pedro Rodriguez, Joe Barrow, Alexander Hoyle, John P. Lalor, Robin Jia, and Jordan Boyd-Graber. Evaluation Examples Are Not Equally Informative: How Should That Change NLP Leaderboards?. Association of Computational Linguistics, 2021. [Results and Code] [Paper Read Aloud] [Research Talk Video] [Code and Data] [Bibtex]
  
  

  @inproceedings{Rodriguez:Barrow:Hoyle:Lalor:Jia:Boyd-Graber-2021,
  	Title = {Evaluation Examples Are Not Equally Informative: How Should That Change NLP Leaderboards?},
  	Author = {Pedro Rodriguez and Joe Barrow and Alexander Hoyle and John P. Lalor and Robin Jia and Jordan Boyd-Graber},
  	Booktitle = {Association of Computational Linguistics},
  	Year = {2021},
  	Url = {http://umiacs.umd.edu/~jbg//docs/2021_acl_leaderboard.pdf},
  }
  

  
  
• Benjamin Börschinger, Jordan Boyd-Graber, Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Michelle Chen Huebscher, Wojciech Gajewski, Yannic Kilcher, Rodrigo Nogueira, and Lierni Sestorain Saralegu. Meta Answering for Machine Reading. ArXiv, Preprint. [Preprint] [Bibtex]
  
  

  @article{B\"orschinger:Boyd-Graber:Buck:Bulian:Ciaramita:Huebscher:Gajewski:Kilcher:Nogueira:Saralegu-Preprint,
  	Title = {Meta Answering for Machine Reading},
  	Author = {Benjamin B\"orschinger and Jordan Boyd-Graber and Christian Buck and Jannis Bulian and Massimiliano Ciaramita and Michelle Chen Huebscher and Wojciech Gajewski and Yannic Kilcher and Rodrigo Nogueira and Lierni Sestorain Saralegu},
  	Journal = {ArXiv},
  	Year = {Preprint},
  	Url = {https://arxiv.org/abs/1911.04156},
  }
  

• Pedro Rodriguez, Shi Feng, Mohit Iyyer, He He, and Jordan Boyd-Graber. Quizbowl: The Case for Incremental Question Answering. ArXiv, Preprint. [Webpage] [Bibtex]
  
  

  @article{Rodriguez:Feng:Iyyer:He:Boyd-Graber-Preprint,
  	Title = {Quizbowl: The Case for Incremental Question Answering},
  	Author = {Pedro Rodriguez and Shi Feng and Mohit Iyyer and He He and Jordan Boyd-Graber},
  	Journal = {ArXiv},
  	Year = {Preprint},
  	Url = {https://arxiv.org/abs/1904.04792},
  }