Siddharth Karamcheti

According to our database, Siddharth Karamcheti authored at least 24 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

Alexander Khazatsky, Karl Pertsch, Suraj Nair, Ashwin Balakrishna, Sudeep Dasari, Siddharth Karamcheti, Soroush Nasiriany, Mohan Kumar Srirama, Lawrence Yunliang Chen, Kirsty Ellis, Peter David Fagan, Joey Hejna, Masha Itkina, Marion Lepert, Yecheng Jason Ma, Patrick Tree Miller, Jimmy Wu, Suneel Belkhale, Shivin Dass, Huy Ha, Arhan Jain, Abraham Lee, Youngwoon Lee, Marius Memmel, Sungjae Park, Ilija Radosavovic, Kaiyuan Wang, Albert Zhan, Kevin Black, Cheng Chi, Kyle Beltran Hatch, Shan Lin, Jingpei Lu, Jean Mercat, Abdul Rehman, Pannag R. Sanketi, Archit Sharma, Cody Simpson, Quan Vuong, Homer Rich Walke, Blake Wulfe, Ted Xiao, Jonathan Heewon Yang, Arefeh Yavary, Tony Z. Zhao, Christopher Agia, Rohan Baijal, Mateo Guaman Castro, Daphne Chen, Qiuyu Chen, Trinity Chung, Jaimyn Drake, Ethan Paul Foster, et al.

CoRR, 2024

Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models.

Siddharth Karamcheti, Suraj Nair, Ashwin Balakrishna, Percy Liang, Thomas Kollar, Dorsa Sadigh

CoRR, 2024

2023

OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents.

Hugo Laurençon, Lucile Saulnier, Léo Tronchon, Stas Bekman, Amanpreet Singh, Anton Lozhkov, Thomas Wang, Siddharth Karamcheti, Alexander M. Rush, Douwe Kiela, Matthieu Cord, Victor Sanh

CoRR, 2023

Toward Grounded Social Reasoning.

Minae Kwon, Hengyuan Hu, Vivek Myers, Siddharth Karamcheti, Anca D. Dragan, Dorsa Sadigh

CoRR, 2023

Language-Driven Representation Learning for Robotics.

Siddharth Karamcheti, Suraj Nair, Annie S. Chen, Thomas Kollar, Chelsea Finn, Dorsa Sadigh, Percy Liang

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents.

Hugo Laurençon, Lucile Saulnier, Léo Tronchon, Stas Bekman, Amanpreet Singh, Anton Lozhkov, Thomas Wang, Siddharth Karamcheti, Alexander M. Rush, Douwe Kiela, Matthieu Cord, Victor Sanh

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

No, to the Right: Online Language Corrections for Robotic Manipulation via Shared Autonomy.

Yuchen Cui, Siddharth Karamcheti, Raj Palleti, Nidhya Shivakumar, Percy Liang, Dorsa Sadigh

Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

2022

Eliciting Compatible Demonstrations for Multi-Human Imitation Learning.

Kanishk Gandhi, Siddharth Karamcheti, Madeline Liao, Dorsa Sadigh

Proceedings of the Conference on Robot Learning, 2022

2021

On the Opportunities and Risks of Foundation Models.

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya 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 D. 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 Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.

CoRR, 2021

ELLA: Exploration through Learned Language Abstraction.

Suvir Mirchandani, Siddharth Karamcheti, Dorsa Sadigh

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Visually Guided Latent Actions for Assistive Teleoperation.

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

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Targeted Data Acquisition for Evolving Negotiation Agents.

Minae Kwon, Siddharth Karamcheti, Mariano-Florentino Cuellar, Dorsa Sadigh

Proceedings of the 38th International Conference on Machine Learning, 2021

LILA: Language-Informed Latent Actions.

Siddharth Karamcheti, Megha Srivastava, Percy Liang, Dorsa Sadigh

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering.

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

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Learning Adaptive Language Interfaces through Decomposition.

Siddharth Karamcheti, Dorsa Sadigh, Percy Liang

CoRR, 2020

Generating Interactive Worlds with Text.

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Grounding natural language instructions to semantic goal representations for abstraction and generalization.

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

Auton. Robots, 2019

Learning to Speak and Act in a Fantasy Text Adventure Game.

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

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Finding Generalizable Evidence by Learning to Convince Q&A Models.

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

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Improving Grey-Box Fuzzing by Modeling Program Behavior.

Siddharth Karamcheti, Gideon Mann, David S. Rosenberg

CoRR, 2018

Adaptive Grey-Box Fuzz-Testing with Thompson Sampling.

Siddharth Karamcheti, Gideon Mann, David S. Rosenberg

Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security, 2018

2017

Latent Attention Networks.

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

CoRR, 2017

Accurately and Efficiently Interpreting Human-Robot Instructions of Varying Granularities.

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

Proceedings of the Robotics: Science and Systems XIII, 2017

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

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

Proceedings of the First Workshop on Language Grounding for Robotics, 2017