John Hewitt - RankMe

46 papers A* 3B 2Journal 25Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improving Parametric Knowledge Access in Reasoning Language Models. CoRR Melody Ma, John Hewitt
2025	J	`jnl`	Because we have LLMs, we Can and Should Pursue Agentic Interpretability. CoRR Been Kim, John Hewitt, Neel Nanda, Noah Fiedel, Oyvind Tafjord
2025	J	`jnl`	Neologism Learning for Controllability and Self-Verbalization. CoRR John Hewitt, Oyvind Tafjord, Robert Geirhos, Been Kim
2025	—	`conf`	Position: We Can't Understand AI Using our Existing Vocabulary. ICML (Position Papers) John Hewitt, Robert Geirhos, Been Kim
2025	J	`jnl`	We Can't Understand AI Using our Existing Vocabulary. CoRR John Hewitt, Robert Geirhos, Been Kim
2024	A*	`conf`	Closing the Curious Case of Neural Text Degeneration. ICLR Matthew Finlayson, John Hewitt, Alexander Koller, Swabha Swayamdipta, Ashish Sabharwal
2024	J	`jnl`	Instruction Following without Instruction Tuning. CoRR John Hewitt, Nelson F. Liu, Percy Liang, Christopher D. Manning
2024	J	`jnl`	Learning Translations via Matrix Completion. CoRR Derry Wijaya, Brendan Callahan, John Hewitt, Jie Gao, Xiao Ling, Marianna Apidianaki, Chris Callison-Burch
2024	J	`jnl`	Lost in the Middle: How Language Models Use Long Contexts. Trans. Assoc. Comput. Linguistics Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang
2024	J	`jnl`	Model Editing with Canonical Examples. CoRR John Hewitt, Sarah Li Chen, Lanruo Lora Xie, Edward Adams, Percy Liang, Christopher D. Manning
2023	—	`conf`	Backpack Language Models. ACL (1) John Hewitt, John Thickstun, Christopher D. Manning, Percy Liang
2023	J	`jnl`	Backpack Language Models. CoRR John Hewitt, John Thickstun, Christopher D. Manning, Percy Liang
2023	—	`conf`	Character-Level Chinese Backpack Language Models. BlackboxNLP@EMNLP Hao Sun, John Hewitt
2023	J	`jnl`	Character-level Chinese Backpack Language Models. CoRR Hao Sun, John Hewitt
2023	J	`jnl`	Closing the Curious Case of Neural Text Degeneration. CoRR Matthew Finlayson, John Hewitt, Alexander Koller, Swabha Swayamdipta, Ashish Sabharwal
2023	—	`conf`	Generating Text from Language Models. ACL (tutorial) Afra Amini, Ryan Cotterell, John Hewitt, Clara Meister, Tiago Pimentel
2023	J	`jnl`	Lost in the Middle: How Language Models Use Long Contexts. CoRR Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang
2022	—	`conf`	JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset. EMNLP (Findings) Ruth-Ann Armstrong, John Hewitt, Christopher D. Manning
2022	J	`jnl`	JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset. CoRR Ruth-Ann Armstrong, John Hewitt, Christopher D. Manning
2022	—	`conf`	Truncation Sampling as Language Model Desmoothing. EMNLP (Findings) John Hewitt, Christopher D. Manning, Percy Liang
2022	J	`jnl`	Truncation Sampling as Language Model Desmoothing. CoRR John Hewitt, Christopher D. Manning, Percy Liang
2021	—	`conf`	Conditional probing: measuring usable information beyond a baseline. EMNLP (1) John Hewitt, Kawin Ethayarajh, Percy Liang, Christopher D. Manning
2021	J	`jnl`	Conditional probing: measuring usable information beyond a baseline. CoRR John Hewitt, Kawin Ethayarajh, Percy Liang, Christopher D. Manning
2021	J	`jnl`	On the Opportunities and Risks of Foundation Models. CoRR 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.
2021	J	`jnl`	Probing artificial neural networks: insights from neuroscience. CoRR Anna A. Ivanova, John Hewitt, Noga Zaslavsky
2021	—	`conf`	Refining Targeted Syntactic Evaluation of Language Models. NAACL-HLT Benjamin Newman, Kai-Siang Ang, Julia Gong, John Hewitt
2021	J	`jnl`	Refining Targeted Syntactic Evaluation of Language Models. CoRR Benjamin Newman, Kai-Siang Ang, Julia Gong, John Hewitt
2020	J	`jnl`	Emergent linguistic structure in artificial neural networks trained by self-supervision. Proc. Natl. Acad. Sci. USA Christopher D. Manning, Kevin Clark, John Hewitt, Urvashi Khandelwal, Omer Levy
2020	A*	`conf`	Finding Universal Grammatical Relations in Multilingual BERT. ACL Ethan A. Chi, John Hewitt, Christopher D. Manning
2020	J	`jnl`	Finding Universal Grammatical Relations in Multilingual BERT. CoRR Ethan A. Chi, John Hewitt, Christopher D. Manning
2020	—	`conf`	RNNs can generate bounded hierarchical languages with optimal memory. EMNLP (1) John Hewitt, Michael Hahn, Surya Ganguli, Percy Liang, Christopher D. Manning
2020	J	`jnl`	RNNs can generate bounded hierarchical languages with optimal memory. CoRR John Hewitt, Michael Hahn, Surya Ganguli, Percy Liang, Christopher D. Manning
2020	—	`conf`	The EOS Decision and Length Extrapolation. BlackboxNLP@EMNLP Benjamin Newman, John Hewitt, Percy Liang, Christopher D. Manning
2020	J	`jnl`	The EOS Decision and Length Extrapolation. CoRR Benjamin Newman, John Hewitt, Percy Liang, Christopher D. Manning
2019	—	`conf`	A Structural Probe for Finding Syntax in Word Representations. NAACL-HLT (1) John Hewitt, Christopher D. Manning
2019	—	`conf`	Designing and Interpreting Probes with Control Tasks. EMNLP/IJCNLP (1) John Hewitt, Percy Liang
2019	J	`jnl`	Designing and Interpreting Probes with Control Tasks. CoRR John Hewitt, Percy Liang
2019	B	`conf`	Simple, Fast, Accurate Intent Classification and Slot Labeling for Goal-Oriented Dialogue Systems. SIGdial Arshit Gupta, John Hewitt, Katrin Kirchhoff
2019	J	`jnl`	Simple, Fast, Accurate Intent Classification and Slot Labeling. CoRR Arshit Gupta, John Hewitt, Katrin Kirchhoff
2018	—	`conf`	A Distributional and Orthographic Aggregation Model for English Derivational Morphology. ACL (1) Daniel Deutsch, John Hewitt, Dan Roth
2018	—	`conf`	Learning Translations via Images with a Massively Multilingual Image Dataset. ACL (1) John Hewitt, Daphne Ippolito, Brendan Callahan, Reno Kriz, Derry Tanti Wijaya, Chris Callison-Burch
2018	—	`conf`	XNMT: The eXtensible Neural Machine Translation Toolkit. AMTA (1) 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
2018	J	`jnl`	XNMT: The eXtensible Neural Machine Translation Toolkit. CoRR 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	A*	`conf`	Learning Translations via Matrix Completion. EMNLP Derry Wijaya, Brendan Callahan, John Hewitt, Jie Gao, Xiao Ling, Marianna Apidianaki, Chris Callison-Burch
2017	B	`conf`	Semantic Bootstrapping in Frames: A Computational Model of Syntactic Category Acquisition. CogSci John Hewitt, Charles Yang
2016	—	`conf`	Automatic Construction of Morphologically Motivated Translation Models for Highly Inflected, Low-Resource Languages. AMTA (1) John Hewitt, Matt Post, David Yarowsky