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John Hewitt
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2020 – today
- 2024
- [j2]Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang:
Lost in the Middle: How Language Models Use Long Contexts. Trans. Assoc. Comput. Linguistics 12: 157-173 (2024) - [c20]Matthew Finlayson, John Hewitt, Alexander Koller, Swabha Swayamdipta, Ashish Sabharwal:
Closing the Curious Case of Neural Text Degeneration. ICLR 2024 - [i19]John Hewitt, Sarah Chen, Lanruo Lora Xie, Edward Adams, Percy Liang, Christopher D. Manning:
Model Editing with Canonical Examples. CoRR abs/2402.06155 (2024) - [i18]Derry Wijaya, Brendan Callahan, John Hewitt, Jie Gao, Xiao Ling, Marianna Apidianaki, Chris Callison-Burch:
Learning Translations via Matrix Completion. CoRR abs/2406.13195 (2024) - [i17]John Hewitt, Nelson F. Liu, Percy Liang, Christopher D. Manning:
Instruction Following without Instruction Tuning. CoRR abs/2409.14254 (2024) - 2023
- [c19]John Hewitt, John Thickstun, Christopher D. Manning, Percy Liang:
Backpack Language Models. ACL (1) 2023: 9103-9125 - [c18]Afra Amini, Ryan Cotterell, John Hewitt, Clara Meister, Tiago Pimentel:
Generating Text from Language Models. ACL (tutorial) 2023: 27-31 - [c17]Hao Sun, John Hewitt:
Character-Level Chinese Backpack Language Models. BlackboxNLP@EMNLP 2023: 106-119 - [i16]John Hewitt, John Thickstun, Christopher D. Manning, Percy Liang:
Backpack Language Models. CoRR abs/2305.16765 (2023) - [i15]Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang:
Lost in the Middle: How Language Models Use Long Contexts. CoRR abs/2307.03172 (2023) - [i14]Matthew Finlayson, John Hewitt, Alexander Koller, Swabha Swayamdipta, Ashish Sabharwal:
Closing the Curious Case of Neural Text Degeneration. CoRR abs/2310.01693 (2023) - [i13]Hao Sun, John Hewitt:
Character-level Chinese Backpack Language Models. CoRR abs/2310.12751 (2023) - 2022
- [c16]John Hewitt, Christopher D. Manning, Percy Liang:
Truncation Sampling as Language Model Desmoothing. EMNLP (Findings) 2022: 3414-3427 - [c15]Ruth-Ann Armstrong, John Hewitt, Christopher D. Manning:
JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset. EMNLP (Findings) 2022: 5307-5320 - [i12]John Hewitt, Christopher D. Manning, Percy Liang:
Truncation Sampling as Language Model Desmoothing. CoRR abs/2210.15191 (2022) - [i11]Ruth-Ann Armstrong, John Hewitt, Christopher D. Manning:
JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset. CoRR abs/2212.03419 (2022) - 2021
- [c14]John Hewitt, Kawin Ethayarajh, Percy Liang, Christopher D. Manning:
Conditional probing: measuring usable information beyond a baseline. EMNLP (1) 2021: 1626-1639 - [c13]Benjamin Newman, Kai-Siang Ang, Julia Gong, John Hewitt:
Refining Targeted Syntactic Evaluation of Language Models. NAACL-HLT 2021: 3710-3723 - [i10]Anna A. Ivanova, John Hewitt, Noga Zaslavsky:
Probing artificial neural networks: insights from neuroscience. CoRR abs/2104.08197 (2021) - [i9]Benjamin Newman, Kai-Siang Ang, Julia Gong, John Hewitt:
Refining Targeted Syntactic Evaluation of Language Models. CoRR abs/2104.09635 (2021) - [i8]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.:
On the Opportunities and Risks of Foundation Models. CoRR abs/2108.07258 (2021) - [i7]John Hewitt, Kawin Ethayarajh, Percy Liang, Christopher D. Manning:
Conditional probing: measuring usable information beyond a baseline. CoRR abs/2109.09234 (2021) - 2020
- [j1]Christopher D. Manning
, Kevin Clark, John Hewitt
Emergent linguistic structure in artificial neural networks trained by self-supervision. Proc. Natl. Acad. Sci. USA 117(48): 30046-30054 (2020) - [c12]Ethan A. Chi, John Hewitt, Christopher D. Manning:
Finding Universal Grammatical Relations in Multilingual BERT. ACL 2020: 5564-5577 - [c11]Benjamin Newman, John Hewitt, Percy Liang, Christopher D. Manning:
The EOS Decision and Length Extrapolation. BlackboxNLP@EMNLP 2020: 276-291 - [c10]John Hewitt, Michael Hahn, Surya Ganguli, Percy Liang, Christopher D. Manning:
RNNs can generate bounded hierarchical languages with optimal memory. EMNLP (1) 2020: 1978-2010 - [i6]Ethan A. Chi, John Hewitt, Christopher D. Manning:
Finding Universal Grammatical Relations in Multilingual BERT. CoRR abs/2005.04511 (2020) - [i5]Benjamin Newman, John Hewitt, Percy Liang, Christopher D. Manning:
The EOS Decision and Length Extrapolation. CoRR abs/2010.07174 (2020) - [i4]John Hewitt, Michael Hahn, Surya Ganguli, Percy Liang, Christopher D. Manning:
RNNs can generate bounded hierarchical languages with optimal memory. CoRR abs/2010.07515 (2020)
2010 – 2019
- 2019
- [c9]John Hewitt, Percy Liang:
Designing and Interpreting Probes with Control Tasks. EMNLP/IJCNLP (1) 2019: 2733-2743 - [c8]John Hewitt, Christopher D. Manning:
A Structural Probe for Finding Syntax in Word Representations. NAACL-HLT (1) 2019: 4129-4138 - [c7]Arshit Gupta, John Hewitt, Katrin Kirchhoff:
Simple, Fast, Accurate Intent Classification and Slot Labeling for Goal-Oriented Dialogue Systems. SIGdial 2019: 46-55 - [i3]Arshit Gupta, John Hewitt, Katrin Kirchhoff:
Simple, Fast, Accurate Intent Classification and Slot Labeling. CoRR abs/1903.08268 (2019) - [i2]John Hewitt, Percy Liang:
Designing and Interpreting Probes with Control Tasks. CoRR abs/1909.03368 (2019) - 2018
- [c6]Daniel Deutsch, John Hewitt, Dan Roth:
A Distributional and Orthographic Aggregation Model for English Derivational Morphology. ACL (1) 2018: 1938-1947 - [c5]John Hewitt, Daphne Ippolito, Brendan Callahan, Reno Kriz, Derry Tanti Wijaya
Learning Translations via Images with a Massively Multilingual Image Dataset. ACL (1) 2018: 2566-2576 - [c4]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:
XNMT: The eXtensible Neural Machine Translation Toolkit. AMTA (1) 2018: 185-192 - [i1]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:
XNMT: The eXtensible Neural Machine Translation Toolkit. CoRR abs/1803.00188 (2018) - 2017
- [c3]John Hewitt, Charles Yang:
Semantic Bootstrapping in Frames: A Computational Model of Syntactic Category Acquisition. CogSci 2017 - [c2]Derry Wijaya
Learning Translations via Matrix Completion. EMNLP 2017: 1452-1463 - 2016
- [c1]John Hewitt, Matt Post, David Yarowsky:
Automatic Construction of Morphologically Motivated Translation Models for Highly Inflected, Low-Resource Languages. AMTA (1) 2016: 177-190
Coauthor Index
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