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DABS: A Domain-Agnostic Benchmark for Self-Supervised Learning


Nov 23, 2021
Alex Tamkin, Vincent Liu, Rongfei Lu, Daniel Fein, Colin Schultz, Noah Goodman

* NeurIPS 2021, Datasets & Benchmarks Track 

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C5T5: Controllable Generation of Organic Molecules with Transformers


Aug 23, 2021
Daniel Rothchild, Alex Tamkin, Julie Yu, Ujval Misra, Joseph Gonzalez


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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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Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models


Feb 04, 2021
Alex Tamkin, Miles Brundage, Jack Clark, Deep Ganguli


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Language Through a Prism: A Spectral Approach for Multiscale Language Representations


Nov 09, 2020
Alex Tamkin, Dan Jurafsky, Noah Goodman

* NeurIPS 2020 

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Viewmaker Networks: Learning Views for Unsupervised Representation Learning


Oct 14, 2020
Alex Tamkin, Mike Wu, Noah Goodman


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Investigating Transferability in Pretrained Language Models


Apr 30, 2020
Alex Tamkin, Trisha Singh, Davide Giovanardi, Noah Goodman


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Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy


Nov 05, 2019
Ramtin Keramati, Christoph Dann, Alex Tamkin, Emma Brunskill


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