John Hewitt

According to our database, John Hewitt authored at least 27 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Instruction Following without Instruction Tuning.

John Hewitt, Nelson F. Liu, Percy Liang, Christopher D. Manning

CoRR, 2024

Model Editing with Canonical Examples.

John Hewitt, Sarah Chen, Lanruo Lora Xie, Edward Adams, Percy Liang, Christopher D. Manning

CoRR, 2024

Closing the Curious Case of Neural Text Degeneration.

Matthew Finlayson, John Hewitt, Alexander Koller, Swabha Swayamdipta, Ashish Sabharwal

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Character-Level Chinese Backpack Language Models.

Hao Sun, John Hewitt

Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

Generating Text from Language Models.

Afra Amini, Ryan Cotterell, John Hewitt, Clara Meister, Tiago Pimentel

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2023

Backpack Language Models.

John Hewitt, John Thickstun, Christopher D. Manning, Percy Liang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Truncation Sampling as Language Model Desmoothing.

John Hewitt, Christopher D. Manning, Percy Liang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset.

Ruth-Ann Armstrong, John Hewitt, Christopher D. Manning

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

On the Opportunities and Risks of Foundation Models.

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren E. Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.

CoRR, 2021

Probing artificial neural networks: insights from neuroscience.

Anna A. Ivanova, John Hewitt, Noga Zaslavsky

CoRR, 2021

Refining Targeted Syntactic Evaluation of Language Models.

Benjamin Newman, Kai-Siang Ang, Julia Gong, John Hewitt

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Conditional probing: measuring usable information beyond a baseline.

John Hewitt, Kawin Ethayarajh, Percy Liang, Christopher D. Manning

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

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

RNNs can generate bounded hierarchical languages with optimal memory.

John Hewitt, Michael Hahn, Surya Ganguli, Percy Liang, Christopher D. Manning

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

The EOS Decision and Length Extrapolation.

Benjamin Newman, John Hewitt, Percy Liang, Christopher D. Manning

Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

Finding Universal Grammatical Relations in Multilingual BERT.

Ethan A. Chi, John Hewitt, Christopher D. Manning

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Simple, Fast, Accurate Intent Classification and Slot Labeling.

Arshit Gupta, John Hewitt, Katrin Kirchhoff

CoRR, 2019

Simple, Fast, Accurate Intent Classification and Slot Labeling for Goal-Oriented Dialogue Systems.

Arshit Gupta, John Hewitt, Katrin Kirchhoff

Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, 2019

A Structural Probe for Finding Syntax in Word Representations.

John Hewitt, Christopher D. Manning

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Designing and Interpreting Probes with Control Tasks.

John Hewitt, Percy Liang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

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

Proceedings of the 13th Conference of the Association for Machine Translation in the Americas, 2018

A Distributional and Orthographic Aggregation Model for English Derivational Morphology.

Daniel Deutsch, John Hewitt, Dan Roth

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Learning Translations via Images with a Massively Multilingual Image Dataset.

John Hewitt, Daphne Ippolito, Brendan Callahan, Reno Kriz, Derry Tanti Wijaya, Chris Callison-Burch

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Learning Translations via Matrix Completion.

Derry Wijaya, Brendan Callahan, John Hewitt, Jie Gao, Xiao Ling, Marianna Apidianaki, Chris Callison-Burch

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Semantic Bootstrapping in Frames: A Computational Model of Syntactic Category Acquisition.

John Hewitt, Charles Yang

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

Automatic Construction of Morphologically Motivated Translation Models for Highly Inflected, Low-Resource Languages.

John Hewitt, Matt Post, David Yarowsky

Proceedings of the 12th Conferences of the Association for Machine Translation in the Americas: MT Researchers' Track, 2016