Automatic Construction of Morphologically Motivated Translation Models for Highly Inflected, Low-Resource Languages. - John Hewitt; Matt Post; David Yarowsky (AMTA (1), 2016)

Semantic Bootstrapping in Frames: A Computational Model of Syntactic Category Acquisition. - John Hewitt; Charles Yang 001 (CogSci, 2017)

Learning Translations via Matrix Completion. - Derry Wijaya; Brendan Callahan; John Hewitt; Jie Gao; Xiao Ling; Marianna Apidianaki; Chris Callison-Burch (EMNLP, 2017)

Learning Translations via Images with a Massively Multilingual Image Dataset. - John Hewitt; Daphne Ippolito; Brendan Callahan; Reno Kriz; Derry Tanti Wijaya; Chris Callison-Burch (ACL (1), 2018)

A Distributional and Orthographic Aggregation Model for English Derivational Morphology. - Daniel Deutsch; John Hewitt; Dan Roth 001 (ACL (1), 2018)

XNMT: The eXtensible Neural Machine Translation Toolkit. - Graham Neubig; Matthias Sperber; Xinyi Wang 001; Matthieu Felix; Austin Matthews; Sarguna Padmanabhan; Ye Qi; Devendra Singh Sachan; Philip Arthur; Pierre Godard; John Hewitt; Rachid Riad; et al. (AMTA (1), 2018)

Designing and Interpreting Probes with Control Tasks. - John Hewitt; Percy Liang (EMNLP/IJCNLP (1), 2019)

A Structural Probe for Finding Syntax in Word Representations. - John Hewitt; Christopher D. Manning (NAACL-HLT (1), 2019)

Simple, Fast, Accurate Intent Classification and Slot Labeling for Goal-Oriented Dialogue Systems. - Arshit Gupta; John Hewitt; Katrin Kirchhoff (SIGdial, 2019)

Simple, Fast, Accurate Intent Classification and Slot Labeling. - Arshit Gupta; John Hewitt; Katrin Kirchhoff (CoRR, 2019)

Finding Universal Grammatical Relations in Multilingual BERT. - Ethan A. Chi; John Hewitt; Christopher D. Manning (ACL, 2020)

The EOS Decision and Length Extrapolation. - Benjamin Newman; John Hewitt; Percy Liang; Christopher D. Manning (BlackboxNLP@EMNLP, 2020)

RNNs can generate bounded hierarchical languages with optimal memory. - John Hewitt; Michael Hahn 001; Surya Ganguli; Percy Liang; Christopher D. Manning (EMNLP (1), 2020)

Emergent linguistic structure in artificial neural networks trained by self-supervision. - Christopher D. Manning; Kevin Clark; John Hewitt; Urvashi Khandelwal; Omer Levy (Proc. Natl. Acad. Sci. USA, 2020)

Conditional probing: measuring usable information beyond a baseline. - John Hewitt; Kawin Ethayarajh; Percy Liang; Christopher D. Manning (EMNLP (1), 2021)

Refining Targeted Syntactic Evaluation of Language Models. - Benjamin Newman; Kai-Siang Ang; Julia Gong; John Hewitt (NAACL-HLT, 2021)

Probing artificial neural networks: insights from neuroscience. - Anna A. Ivanova; John Hewitt; Noga Zaslavsky (CoRR, 2021)

On the Opportunities and Risks of Foundation Models. - Rishi Bommasani; Drew A. Hudson; Ehsan Adeli 001; Russ B. Altman; Simran Arora; Sydney von Arx; Michael S. Bernstein; Jeannette Bohg; Antoine Bosselut; Emma Brunskill; Erik Brynjolfsson; Shyamal Buch; et al. (CoRR, 2021)

JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset. - Ruth-Ann Armstrong; John Hewitt; Christopher D. Manning (EMNLP (Findings), 2022)

Truncation Sampling as Language Model Desmoothing. - John Hewitt; Christopher D. Manning; Percy Liang (EMNLP (Findings), 2022)

Backpack Language Models. - John Hewitt; John Thickstun; Christopher D. Manning; Percy Liang (ACL (1), 2023)

Generating Text from Language Models. - Afra Amini; Ryan Cotterell; John Hewitt; Clara Meister; Tiago Pimentel (ACL (tutorial), 2023)

Character-Level Chinese Backpack Language Models. - Hao Sun; John Hewitt (BlackboxNLP@EMNLP, 2023)

Closing the Curious Case of Neural Text Degeneration. - Matthew Finlayson; John Hewitt; Alexander Koller; Swabha Swayamdipta; Ashish Sabharwal (ICLR, 2024)

Model Editing with Canonical Examples. - John Hewitt; Sarah Li Chen; Lanruo Lora Xie; Edward Adams; Percy Liang; Christopher D. Manning (CoRR, 2024)

Instruction Following without Instruction Tuning. - John Hewitt; Nelson F. Liu; Percy Liang; Christopher D. Manning (CoRR, 2024)

Lost in the Middle: How Language Models Use Long Contexts. - Nelson F. Liu; Kevin Lin; John Hewitt; Ashwin Paranjape; Michele Bevilacqua; Fabio Petroni; Percy Liang (Trans. Assoc. Comput. Linguistics, 2024)

We Can't Understand AI Using our Existing Vocabulary. - John Hewitt; Robert Geirhos; Been Kim (CoRR, 2025)

Because we have LLMs, we Can and Should Pursue Agentic Interpretability. - Been Kim; John Hewitt; Neel Nanda; Noah Fiedel; Oyvind Tafjord (CoRR, 2025)