| 2025 | ICML | Position: We Can't Understand AI Using our Existing Vocabulary. | John Hewitt, Robert Geirhos, Been Kim |
| 2024 | ICLR | Closing the Curious Case of Neural Text Degeneration. | Matthew Finlayson, John Hewitt, Alexander Koller, Swabha Swayamdipta, Ashish Sabharwal |
| 2023 | ACL | Backpack Language Models. | John Hewitt, John Thickstun, Christopher D. Manning, Percy Liang |
| 2022 | EMNLP | JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset. | Ruth-Ann Armstrong, John Hewitt, Christopher D. Manning |
| 2022 | EMNLP | Truncation Sampling as Language Model Desmoothing. | John Hewitt, Christopher D. Manning, Percy Liang |
| 2021 | EMNLP | Conditional probing: measuring usable information beyond a baseline. | John Hewitt, Kawin Ethayarajh, Percy Liang, Christopher D. Manning |
| 2021 | NAACL | Refining Targeted Syntactic Evaluation of Language Models. | Benjamin Newman, Kai-Siang Ang, Julia Gong, John Hewitt |
| 2020 | ACL | Finding Universal Grammatical Relations in Multilingual BERT. | Ethan A. Chi, John Hewitt, Christopher D. Manning |
| 2020 | EMNLP | RNNs can generate bounded hierarchical languages with optimal memory. | John Hewitt, Michael Hahn, Surya Ganguli, Percy Liang, Christopher D. Manning |
| 2019 | EMNLP | Designing and Interpreting Probes with Control Tasks. | John Hewitt, Percy Liang |
| 2019 | NAACL | A Structural Probe for Finding Syntax in Word Representations. | John Hewitt, Christopher D. Manning |
| 2019 | SIGdial | Simple, Fast, Accurate Intent Classification and Slot Labeling for Goal-Oriented Dialogue Systems. | Arshit Gupta, John Hewitt, Katrin Kirchhoff |
| 2018 | ACL | Learning Translations via Images with a Massively Multilingual Image Dataset. | John Hewitt, Daphne Ippolito, Brendan Callahan, Reno Kriz, Derry Tanti Wijaya, Chris Callison-Burch |
| 2018 | ACL | A Distributional and Orthographic Aggregation Model for English Derivational Morphology. | Daniel Deutsch, John Hewitt, Dan Roth |
| 2018 | AMTA | XNMT: The eXtensible Neural Machine Translation Toolkit. | Graham Neubig, Matthias Sperber, Xinyi Wang, Matthieu Felix, Austin Matthews, Sarguna Padmanabhan, Ye Qi, Devendra Singh Sachan, Philip Arthur, Pierre Godard, John Hewitt, Rachid Riad, Liming Wang |
| 2017 | CogSci | Semantic Bootstrapping in Frames: A Computational Model of Syntactic Category Acquisition. | John Hewitt, Charles Yang |
| 2017 | EMNLP | Learning Translations via Matrix Completion. | Derry Wijaya, Brendan Callahan, John Hewitt, Jie Gao, Xiao Ling, Marianna Apidianaki, Chris Callison-Burch |
| 2016 | AMTA | Automatic Construction of Morphologically Motivated Translation Models for Highly Inflected, Low-Resource Languages. | John Hewitt, Matt Post, David Yarowsky |