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Daniel Khashabi
Assistant Professor of Computer Science
Center for Language and Speech Processing
Whiting School of Engineering
Johns Hopkins University

Office: Hackerman Hall 316B | Email: danielk ¯\_(ツ)_/¯

Research Themes

My research is motivated by understanding the computational foundations of intelligent behavior, often through the lens of natural language. I am excited about intelligence amplification — building computational models that would augment human experience in a mutually interdependent fashion. The dominant majority of my research is aligned with natural language processing (ACL, NAACL, EMNLP), machine learning (ICLR, NeurIPS, ICML) and artificial intelligence (AAAI, IJCAI).

Here are several themes I am interested in:

  • General-purpose models: AlphaGo may be the world champion at Go, although it can't solve any other problem! How can we incentivize building models that can address a broader scope of tasks and abilities?

  • Self-supervised representation learning and knowledge acquisition: How can we build task-independent representations that utilize cheap signals available in-the-wild (web data or physical environment) and support better model generalization?

  • Reasoning and problem solving: I view “reasoning” as the process of using “reasons” for explaining or justifying decisions. How can we enable machines to communicate via reasons, for a broad-ranging spectrum of tasks?

  • Interaction and communication: Can we engineer AI systems not only to effectively engage, interact, and communicate with humans but also with other AI systems? This can be, for example, for the purpose of enabling coordination or harmony at the population-level.

  • AI in Society: With the increased deployment of AI we need to better understand their impacts on humans and foresee the unintended harms that may result: How can we bake in transparency in models so human operators can contextualize system output? Can we make such transparency into a truly democratic oversight of systems and their algorithmic biases? Can we build systems that can recourse when there is harm to those that are marginalized? Can we build systems that reduce our socio-political divisions?

If you are an undergraduate or masters student and would like to work on research with my group, please fill out this form.

Select Talks



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  • Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ Tasks.
    Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, Arjun Ashok, Arut Selvan Dhanasekaran, Atharva Naik, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Maitreya Patel, Kuntal Kumar Pal, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Shailaja Keyur Sampat, Savan Doshi, Siddhartha Mishra, Sujan Reddy, Sumanta Patro, Tanay Dixit, Xudong Shen, Chitta Baral, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi and Daniel Khashabi.
    Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. [data] [slides] [slides2] [poster] [project] [blog]

  • Findings of the 2021 Conference on Machine Translation (WMT21).
    Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, Ond{v{r}}ej Bojar, Rajen Chatterjee, Vishrav Chaudhary, Marta R. Costa-jussa, Cristina Espa{~n}a-Bonet, Angela Fan, Christian Federmann, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Leonie Harter, Kenneth Heafield, Christopher Homan, Matthias Huck, Kwabena Amponsah-Kaakyire, Jungo Kasai, Daniel Khashabi, Kevin Knight, Tom Kocmi, Philipp Koehn, Nicholas Lourie, Christof Monz, Makoto Morishita, Masaaki Nagata, Ajay Nagesh, Toshiaki Nakazawa, Matteo Negri, Santanu Pal, Allahsera Auguste Tapo, Marco Turchi, Valentin Vydrin and Marcos Zampieri.
    Conference on Machine Translation (WMT), 2021.

  • CogCompNLP: Your swiss army knife for nlp.
    Daniel “Khashabi, Mark Sammons, Ben Zhou, Tom Redman, Christos Christodoulopoulos, Vivek Srikumar, Nicholas Rizzolo, Lev Ratinov, Guanheng Luo, Quang Do, Chen-Tse Tsai, Subhro Roy, Stephen Mayhew, Zhili Feng, John Wieting, Xiaodong Yu, Yangqiu Song, Shashank Gupta, Shyam Upadhyay, Naveen Arivazhagan, Qiang Ning, Shaoshi Ling and Dan” Roth.
    International Conference on Language Resources and Evaluation (LREC), 2018. [poster] [code]

  • Image demosaicing.
    Reinhard Sebastian Bernhard Nowozin, Danyal Khashabi, Jeremy Martin Jancsary, Bruce Justin Lindbloom and Andrew William Fitzgibbon.
    US Patent 9,344,690 - Google Patents, 2016.