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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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FoveaTer: Foveated Transformer for Image Classification


May 29, 2021
Aditya Jonnalagadda, William Wang, Miguel P. Eckstein

* 7 figures 

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Open Question Answering over Tables and Text


Oct 20, 2020
Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Wang, William W. Cohen

* Technical Report 

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GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models


Jun 18, 2020
Farzan Farnia, William Wang, Subhro Das, Ali Jadbabaie


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HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data


Apr 15, 2020
Wenhu Chen, Hanwen Zha, Zhiyu Chen, Wenhan Xiong, Hong Wang, William Wang

* Dataset Description of HybridQA 

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Meta Module Network for Compositional Visual Reasoning


Nov 18, 2019
Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Wang, Jingjing Liu

* Technical Report on Neural Module Network, 14 pages 

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Fine-tune Bert for DocRED with Two-step Process


Sep 26, 2019
Hong Wang, Christfried Focke, Rob Sylvester, Nilesh Mishra, William Wang


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How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection


Apr 03, 2019
Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan, William Wang

* Accepted to NAACL 2019, 11 pages, 7 figures, 3 tables 

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Scene Graph Generation via Conditional Random Fields


Nov 20, 2018
Weilin Cong, William Wang, Wang-Chien Lee


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Enhancing the Robustness of Prior Network in Out-of-Distribution Detection


Nov 18, 2018
Wenhu Chen, Yilin Shen, Xin Wang, William Wang

* 9 pages, 11 figures 

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MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings


Nov 01, 2018
Hao Yu, Vivek Kulkarni, William Wang


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Variational Knowledge Graph Reasoning


Oct 23, 2018
Wenhu Chen, Wenhan Xiong, Xifeng Yan, William Wang

* Accepted to NAACL 2018 

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Safer Classification by Synthesis


Jul 23, 2018
William Wang, Angelina Wang, Aviv Tamar, Xi Chen, Pieter Abbeel


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