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LILA: Language-Informed Latent Actions


Nov 05, 2021
Siddharth Karamcheti, Megha Srivastava, Percy Liang, Dorsa Sadigh

* Accepted at the 5th Conference on Robot Learning (CoRL). Joint first authorship. 21 Pages, 11 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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Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering


Jul 06, 2021
Siddharth Karamcheti, Ranjay Krishna, Li Fei-Fei, Christopher D. Manning

* Accepted at ACL-IJCNLP 2021. 17 pages, 16 Figures 

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Targeted Data Acquisition for Evolving Negotiation Agents


Jun 16, 2021
Minae Kwon, Siddharth Karamcheti, Mariano-Florentino Cuellar, Dorsa Sadigh

* The Thirty-eighth International Conference on Machine Learning 

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Learning Visually Guided Latent Actions for Assistive Teleoperation


May 02, 2021
Siddharth Karamcheti, Albert J. Zhai, Dylan P. Losey, Dorsa Sadigh

* Accepted at Learning for Dynamics and Control (L4DC) 2021. 12 pages, 4 figures 

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ELLA: Exploration through Learned Language Abstraction


Mar 10, 2021
Suvir Mirchandani, Siddharth Karamcheti, Dorsa Sadigh

* 13 pages, 8 figures 

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Learning Adaptive Language Interfaces through Decomposition


Oct 11, 2020
Siddharth Karamcheti, Dorsa Sadigh, Percy Liang

* Accepted at the 1st Workshop for Interactive and Executable Semantic Parsing (IntEx-SemPar) @ EMNLP 2020. 11 pages, 5 figures 

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Generating Interactive Worlds with Text


Dec 04, 2019
Angela Fan, Jack Urbanek, Pratik Ringshia, Emily Dinan, Emma Qian, Siddharth Karamcheti, Shrimai Prabhumoye, Douwe Kiela, Tim Rocktaschel, Arthur Szlam, Jason Weston


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Finding Generalizable Evidence by Learning to Convince Q&A Models


Sep 12, 2019
Ethan Perez, Siddharth Karamcheti, Rob Fergus, Jason Weston, Douwe Kiela, Kyunghyun Cho

* EMNLP 2019. Code available at https://github.com/ethanjperez/convince 

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Learning to Speak and Act in a Fantasy Text Adventure Game


Mar 07, 2019
Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston


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Improving Grey-Box Fuzzing by Modeling Program Behavior


Nov 21, 2018
Siddharth Karamcheti, Gideon Mann, David Rosenberg

* 5 pages, 3 figures 

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Adaptive Grey-Box Fuzz-Testing with Thompson Sampling


Aug 24, 2018
Siddharth Karamcheti, Gideon Mann, David Rosenberg

* Published as a workshop paper in the 11th ACM Workshop on Artificial Intelligence and Security (AISec '18) with the 25th ACM Conference on Computer and Communications Security (CCS '18) 

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Accurately and Efficiently Interpreting Human-Robot Instructions of Varying Granularities


Jun 19, 2018
Dilip Arumugam, Siddharth Karamcheti, Nakul Gopalan, Lawson L. S. Wong, Stefanie Tellex

* Updated with final version - Published as Conference Paper in Robotics: Science and Systems 2017 

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Modeling Latent Attention Within Neural Networks


Dec 30, 2017
Christopher Grimm, Dilip Arumugam, Siddharth Karamcheti, David Abel, Lawson L. S. Wong, Michael L. Littman


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A Tale of Two DRAGGNs: A Hybrid Approach for Interpreting Action-Oriented and Goal-Oriented Instructions


Jul 26, 2017
Siddharth Karamcheti, Edward C. Williams, Dilip Arumugam, Mina Rhee, Nakul Gopalan, Lawson L. S. Wong, Stefanie Tellex

* Accepted at the 1st Workshop on Language Grounding for Robotics at ACL 2017 

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