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Play to Grade: Testing Coding Games as Classifying Markov Decision Process


Oct 27, 2021
Allen Nie, Emma Brunskill, Chris Piech

* NeurIPS 2021, 16 pages, 7 figures 

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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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Pragmatic Issue-Sensitive Image Captioning


Apr 29, 2020
Allen Nie, Reuben Cohn-Gordon, Christopher Potts


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LitGen: Genetic Literature Recommendation Guided by Human Explanations


Sep 24, 2019
Allen Nie, Arturo L. Pineda, Matt W. Wright Hannah Wand, Bryan Wulf, Helio A. Costa, Ronak Y. Patel, Carlos D. Bustamante, James Zou

* 12 pages; 5 figures. Accepted by PSB 2020 (Pacific Symposium on Biocomputing) track: Artificial Intelligence for Enhancing Clinical Medicine 

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Learning to Explain: Answering Why-Questions via Rephrasing


Jun 04, 2019
Allen Nie, Erin D. Bennett, Noah D. Goodman

* 8 pages, 5 figures. 1st ConvAI Workshop at ACL 2019 

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Large-scale Generative Modeling to Improve Automated Veterinary Disease Coding


Nov 29, 2018
Yuhui Zhang, Allen Nie, James Zou

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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DeepTag: inferring all-cause diagnoses from clinical notes in under-resourced medical domain


Sep 03, 2018
Allen Nie, Ashley Zehnder, Rodney L. Page, Arturo L. Pineda, Manuel A. Rivas, Carlos D. Bustamante, James Zou

* 17 pages, 6 figures. Updated the text for clarity 

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DisSent: Sentence Representation Learning from Explicit Discourse Relations


May 03, 2018
Allen Nie, Erin D. Bennett, Noah D. Goodman

* 13 pages, 4 figures. We adopted a new data extraction pipeline with better dependency patterns. We observe a great improvement on all of our SentEval results. We added two new experiments from PDTB (Penn Discourse Treebank) where DisSent model outperforms InferSent by a noticeable margin. We include our dependency patterns used to extract and segment sentences in the appendix 

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