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Conditional probing: measuring usable information beyond a baseline


Sep 19, 2021
John Hewitt, Kawin Ethayarajh, Percy Liang, Christopher D. Manning

* EMNLP 2021 + typo fixes 

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On the Opportunities and Risks of Foundation Models


Aug 18, 2021
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Dora Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah 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 Kohd, Mark Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tony Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Ben Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Wang, Bohan Wu, Jiajun Wu, Yuhuai Wu, Sang Michael Xie, Michihiro Yasunaga, Jiaxuan You, Matei Zaharia, Michael Zhang, Tianyi Zhang, Xikun Zhang, Yuhui Zhang, Lucia Zheng, Kaitlyn Zhou, Percy Liang

* Authored by the Center for Research on Foundation Models (CRFM) at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) 

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Refining Targeted Syntactic Evaluation of Language Models


Apr 19, 2021
Benjamin Newman, Kai-Siang Ang, Julia Gong, John Hewitt

* 14 pages, 5 figures, 3 tables. To appear at NAACL 2021 

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Probing artificial neural networks: insights from neuroscience


Apr 16, 2021
Anna A. Ivanova, John Hewitt, Noga Zaslavsky

* ICLR 2021 Workshop: How Can Findings About The Brain Improve AI Systems? 

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RNNs can generate bounded hierarchical languages with optimal memory


Oct 15, 2020
John Hewitt, Michael Hahn, Surya Ganguli, Percy Liang, Christopher D. Manning

* EMNLP2020 + appendix typo fixes 

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The EOS Decision and Length Extrapolation


Oct 14, 2020
Benjamin Newman, John Hewitt, Percy Liang, Christopher D. Manning

* 16 page, 7 Figures, 9 Tables, Blackbox NLP Workshop at EMNLP 2020 

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Finding Universal Grammatical Relations in Multilingual BERT


May 20, 2020
Ethan A. Chi, John Hewitt, Christopher D. Manning

* To appear in ACL 2020; Farsi typo corrected 

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Designing and Interpreting Probes with Control Tasks


Sep 08, 2019
John Hewitt, Percy Liang

* EMNLP 2019 

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Simple, Fast, Accurate Intent Classification and Slot Labeling


Mar 19, 2019
Arshit Gupta, John Hewitt, Katrin Kirchhoff


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XNMT: The eXtensible Neural Machine Translation Toolkit


Mar 01, 2018
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

* To be presented at AMTA 2018 Open Source Software Showcase 

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