I am a full professor in the University of Maryland Computer Science Department (tenure home), Institute of Advanced Computer Studies, INFO, and Language Science Center.

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
• Research Statement
• Teaching Statement
• Diversity Statement
• Service Statement
• My Google Scholar page

Recent Publications

• Ishani Mondal, Meera Bharadwaj, Ayush Roy, Aparna Garimella, and Jordan Boyd-Graber. SMART-Editor: A Multi-Agent Framework for Human-Like Design Editing with Structural Integrity. European Association for Computational Linguistics, 2026. [Bibtex]
  
  

  @inproceedings{Mondal:Bharadwaj:Roy:Garimella:Boyd-Graber-2026,
  	Title = {SMART-Editor: A Multi-Agent Framework for Human-Like Design Editing with Structural Integrity},
  	Author = {Ishani Mondal and Meera Bharadwaj and Ayush Roy and Aparna Garimella and Jordan Boyd-Graber},
  	Booktitle = {European Association for Computational Linguistics},
  	Year = {2026},
  }
  

• 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, 2020. [Preprint] [Bibtex]
  
  

  @article{B\"orschinger:Boyd-Graber:Buck:Bulian:Ciaramita:Huebscher:Gajewski:Kilcher:Nogueira:Saralegu-2020,
  	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 = {2020},
  	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, 2020. [Webpage] [Bibtex]
  
  

  @article{Rodriguez:Feng:Iyyer:He:Boyd-Graber-2020,
  	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 = {2020},
  	Url = {https://arxiv.org/abs/1904.04792},
  }