Siddharth Karamcheti
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On the Opportunities and Risks of Foundation Models
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 2021
Learning to Speak and Act in a Fantasy Text Adventure Game
J Urbanek, A Fan, S Karamcheti, S Jain, S Humeau, E Dinan, ...
Empirical Methods in Natural Language Processing (EMNLP), 673–683, 2019
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ...
arXiv preprint arXiv:2310.08864, 2023
OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents
H Laurenšon, L Saulnier, L Tronchon, S Bekman, A Singh, A Lozhkov, ...
arXiv preprint arXiv:2306.16527, 2023
Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering
S Karamcheti, R Krishna, L Fei-Fei, CD Manning
Annual Meeting of the Association for Computational Linguistics and the 11thá…, 2021
Language-Driven Representation Learning for Robotics
S Karamcheti, S Nair, AS Chen, T Kollar, C Finn, D Sadigh, P Liang
Robotics: Science and Systems (RSS), 2023
Accurately and Efficiently Interpreting Human-Robot Instructions of Varying Granularities
D Arumugam, S Karamcheti, N Gopalan, LLS Wong, S Tellex
Robotics: Science and Systems (RSS), 2017
ELLA: Exploration through Learned Language Abstraction
S Mirchandani, S Karamcheti, D Sadigh
Advances in Neural Information Processing Systems 34, 2021
No, to the Right: Online Language Corrections for Robotic Manipulation via Shared Autonomy
Y Cui, S Karamcheti, R Palleti, N Shivakumar, P Liang, D Sadigh
IEEE International Conference on Human-Robot Interaction (HRI), 2023
Adaptive Grey-Box Fuzz-Testing with Thompson Sampling
S Karamcheti, G Mann, D Rosenberg
11th ACM Workshop on Artificial Intelligence and Security (AISEC), 37-47, 2018
Finding Generalizable Evidence by Learning to Convince Q&A Models
E Perez, S Karamcheti, R Fergus, J Weston, D Kiela, K Cho
Empirical Methods in Natural Language Processing (EMNLP), 2402–2411, 2019
Grounding Natural Language Instructions to Semantic Goal Representations for Abstraction and Generalization
D Arumugam, S Karamcheti, N Gopalan, EC Williams, M Rhee, LLS Wong, ...
Autonomous Robots 43 (2), 449-468, 2019
Generating Interactive Worlds with Text
A Fan, J Urbanek, P Ringshia, E Dinan, E Qian, S Karamcheti, ...
AAAI, 1693-1700, 2020
LILA: Language-Informed Latent Actions
S Karamcheti, M Srivastava, P Liang, D Sadigh
Conference on Robot Learning, 1379-1390, 2022
Learning Adaptive Language Interfaces through Decomposition
S Karamcheti, D Sadigh, P Liang
First Workshop on Interactive and Executable Semantic Parsing (IntEx-SemPará…, 2020
Learning Visually Guided Latent Actions for Assistive Teleoperation
S Karamcheti, AJ Zhai, DP Losey, D Sadigh
Learning for Dynamics and Control, 1230-1241, 2021
A Tale of Two DRAGGNs: A Hybrid Approach for Interpreting Action-Oriented and Goal-Oriented Instructions
S Karamcheti, EC Williams, D Arumugam, M Rhee, N Gopalan, LLS Wong, ...
First Workshop on Language Grounding for Robotics @ ACL, 67–75, 2017
Eliciting Compatible Demonstrations for Multi-Human Imitation Learning
K Gandhi, S Karamcheti, M Liao, D Sadigh
Conference on Robot Learning, 1981-1991, 2022
Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
S Karamcheti, S Nair, A Balakrishna, P Liang, T Kollar, D Sadigh
arXiv preprint arXiv:2402.07865, 2024
Modeling Latent Attention within Neural Networks
C Grimm, D Arumugam, S Karamcheti, D Abel, LLS Wong, ML Littman
arXiv preprint arXiv:1706.00536, 2017
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