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2020 – today
- 2025
[c7]Sedrick Keh, Jean Mercat, Samir Yitzhak Gadre, Kushal Arora, Igor Vasiljevic, Benjamin Burchfiel, Shuran Song, Russ Tedrake, Thomas Kollar, Ludwig Schmidt, Achal Dave:
Should VLMs be Pre-trained with Image Data? ICLR 2025- [i14]Sedrick Keh, Jean Mercat, Samir Yitzhak Gadre, Kushal Arora, Igor Vasiljevic, Benjamin Burchfiel, Shuran Song, Russ Tedrake, Thomas Kollar, Ludwig Schmidt, Achal Dave:
Should VLMs be Pre-trained with Image Data? CoRR abs/2503.07603 (2025) - [i13]Etash Kumar Guha, Ryan Marten, Sedrick Keh, Negin Raoof, Georgios Smyrnis, Hritik Bansal, Marianna Nezhurina, Jean Mercat, Trung Vu, Zayne Sprague, Ashima Suvarna, Benjamin Feuer
, Liangyu Chen, Zaid Khan, Eric Frankel, Sachin Grover, Caroline Choi, Niklas Muennighoff, Shiye Su, Wanjia Zhao, John Yang, Shreyas Pimpalgaonkar, Kartik Sharma, Charlie Cheng-Jie Ji, Yichuan Deng, Sarah M. Pratt, Vivek Ramanujan, Jon Saad-Falcon, Jeffrey Li, Achal Dave, Alon Albalak, Kushal Arora, Blake Wulfe, Chinmay Hegde, Greg Durrett, Sewoong Oh, Mohit Bansal, Saadia Gabriel, Aditya Grover, Kai-Wei Chang, Vaishaal Shankar, Aaron Gokaslan, Mike A. Merrill, Tatsunori Hashimoto, Yejin Choi, Jenia Jitsev, Reinhard Heckel, Maheswaran Sathiamoorthy, Alexandros G. Dimakis, Ludwig Schmidt:
OpenThoughts: Data Recipes for Reasoning Models. CoRR abs/2506.04178 (2025) - [i12]TRI LBM Team, Jose A. Barreiros, Andrew Beaulieu, Aditya Bhat, Rick Cory, Eric Cousineau, Hongkai Dai, Ching-Hsin Fang, Kunimatsu Hashimoto, Muhammad Zubair Irshad, Masha Itkina, Naveen Kuppuswamy, Kuan-Hui Lee, Katherine Liu, Dale McConachie, Ian McMahon, Haruki Nishimura, Calder Phillips-Grafflin, Charles Richter, Paarth Shah, Krishnan Srinivasan, Blake Wulfe, Chen Xu, Mengchao Zhang, Alex Alspach, Maya Angeles, Kushal Arora, Vitor Campagnolo Guizilini, Alejandro M. Castro, Dian Chen, Ting-Sheng Chu, Sam Creasey, Sean Curtis, Richard Denitto, Emma Dixon, Eric Dusel, Matthew Ferreira, Aimee Goncalves, Grant Gould, Damrong Guoy, Swati Gupta, Xuchen Han, Kyle Hatch, Brendan Hathaway, Allison Henry, Hillel Hochsztein, Phoebe Horgan, Shun Iwase, Donovon Jackson, Siddharth Karamcheti, Sedrick Keh, Joseph Masterjohn, Jean Mercat, Patrick Tree Miller, Paul Mitiguy, Tony Khuong Nguyen, Jeremy Nimmer, Yuki Noguchi, Reko Ong, Aykut Özgün Önol, Owen Pfannenstiehl, Richard Poyner, Leticia Priebe Mendes Rocha, Gordon Richardson, Christopher Rodriguez, Derick Seale, Michael A. Sherman, Mariah Smith-Jones, David Tago, Pavel Tokmakov, Matthew Tran, Basile Van Hoorick, Igor Vasiljevic, Sergey Zakharov, Mark Zolotas, Rares Ambrus, Kerri Fetzer-Borelli, Benjamin Burchfiel, Hadas Kress-Gazit, Siyuan Feng, Stacie Ford, Russ Tedrake:
A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation. CoRR abs/2507.05331 (2025) - 2024
- [c6]Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Scott Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F. Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alex Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar:
DataComp-LM: In search of the next generation of training sets for language models. NeurIPS 2024 - [c5]Archit Sharma, Sedrick Scott Keh, Eric Mitchell, Chelsea Finn, Kushal Arora, Thomas Kollar:
A Critical Evaluation of AI Feedback for Aligning Large Language Models. NeurIPS 2024 - [i11]Archit Sharma, Sedrick Keh, Eric Mitchell, Chelsea Finn, Kushal Arora, Thomas Kollar:
A Critical Evaluation of AI Feedback for Aligning Large Language Models. CoRR abs/2402.12366 (2024) - [i10]Jean Mercat, Igor Vasiljevic, Sedrick Keh, Kushal Arora, Achal Dave, Adrien Gaidon, Thomas Kollar:
Linearizing Large Language Models. CoRR abs/2405.06640 (2024) - [i9]Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F. Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar:
DataComp-LM: In search of the next generation of training sets for language models. CoRR abs/2406.11794 (2024) - 2023
- [c4]Jing Xu, Megan Ung, Mojtaba Komeili, Kushal Arora, Y-Lan Boureau, Jason Weston:
Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback. ACL (1) 2023: 13557-13572 - [i8]Pratyay Banerjee, Shweti Mahajan, Kushal Arora, Chitta Baral, Oriana Riva:
Lexi: Self-Supervised Learning of the UI Language. CoRR abs/2301.10165 (2023) - [i7]Kushal Arora, Timothy J. O'Donnell, Doina Precup, Jason Weston, Jackie Chi Kit Cheung:
The Stable Entropy Hypothesis and Entropy-Aware Decoding: An Analysis and Algorithm for Robust Natural Language Generation. CoRR abs/2302.06784 (2023) - 2022
- [c3]Kushal Arora, Layla El Asri, Hareesh Bahuleyan, Jackie Chi Kit Cheung:
Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation. ACL (Findings) 2022: 700-710 - [c2]Pratyay Banerjee, Shweti Mahajan, Kushal Arora, Chitta Baral, Oriana Riva:
Lexi: Self-Supervised Learning of the UI Language. EMNLP (Findings) 2022: 6992-7007 - [c1]Kushal Arora, Kurt Shuster, Sainbayar Sukhbaatar, Jason Weston:
Director: Generator-Classifiers For Supervised Language Modeling. AACL/IJCNLP (1) 2022: 512-526 - [i6]Kushal Arora, Layla El Asri, Hareesh Bahuleyan, Jackie Chi Kit Cheung:
Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation. CoRR abs/2204.01171 (2022) - [i5]Kushal Arora, Kurt Shuster, Sainbayar Sukhbaatar, Jason Weston:
DIRECTOR: Generator-Classifiers For Supervised Language Modeling. CoRR abs/2206.07694 (2022) - [i4]Kurt Shuster, Jing Xu, Mojtaba Komeili, Da Ju, Eric Michael Smith, Stephen Roller, Megan Ung, Moya Chen, Kushal Arora, Joshua Lane, Morteza Behrooz, William Ngan, Spencer Poff, Naman Goyal, Arthur Szlam, Y-Lan Boureau, Melanie Kambadur, Jason Weston:
BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage. CoRR abs/2208.03188 (2022) - [i3]Jing Xu, Megan Ung, Mojtaba Komeili, Kushal Arora, Y-Lan Boureau, Jason Weston:
Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback. CoRR abs/2208.03270 (2022) - 2020
- [j1]Kushal Arora, Aishik Chakraborty, Jackie Chi Kit Cheung:
Learning Lexical Subspaces in a Distributional Vector Space. Trans. Assoc. Comput. Linguistics 8: 311-329 (2020)
2010 – 2019
- 2016
- [i2]Kushal Arora:
Contrastive Perplexity: A new evaluation metric for sentence level language models. CoRR abs/1601.00248 (2016) - [i1]Kushal Arora, Anand Rangarajan:
A Compositional Approach to Language Modeling. CoRR abs/1604.00100 (2016)
Coauthor Index
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