Siddharth Karamcheti
Siddharth Karamcheti
PhD Student - Stanford University
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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 11th …, 2021
Learning Adaptive Language Interfaces through Decomposition
S Karamcheti, D Sadigh, P Liang
First Workshop on Interactive and Executable Semantic Parsing (IntEx-SemPar …, 2020
Generating Interactive Worlds with Text.
A Fan, J Urbanek, P Ringshia, E Dinan, E Qian, S Karamcheti, ...
AAAI, 1693-1700, 2020
Modeling Latent Attention within Neural Networks
C Grimm, D Arumugam, S Karamcheti, D Abel, LLS Wong, ML Littman
arXiv preprint arXiv:1706.00536, 2017
Learning Visually Guided Latent Actions for Assistive Teleoperation
S Karamcheti, AJ Zhai, DP Losey, D Sadigh
Learning for Dynamics and Control, 1230-1241, 2021
ELLA: Exploration through learned language abstraction
S Mirchandani, S Karamcheti, D Sadigh
Advances in Neural Information Processing Systems 34, 2021
LILA: Language-Informed Latent Actions
S Karamcheti, M Srivastava, P Liang, D Sadigh
Conference on Robot Learning, 1379-1390, 2022
Interpreting Human-Robot Instructions
S Tellex, D Arumugam, S Karamcheti, N Gopalan, LLS Wong
US Patent 10,606,898, 2020
Improving Grey-Box Fuzzing by Modeling Program Behavior
S Karamcheti, G Mann, D Rosenberg
Workshop on Machine Learning for Software Engineering (ML4SE), 2018
Targeted Data Acquisition for Evolving Negotiation Agents
M Kwon, S Karamcheti, MF Cuellar, D Sadigh
International Conference on Machine Learning, 5894-5904, 2021
Shared Autonomy for Robotic Manipulation with Language Corrections
S Karamcheti, R Palleti, Y Cui, P Liang, D Sadigh
ACL Workshop on Learning with Natural Language Supervision, 2022
Grounding Natural Language to Goals for Abstraction, Generalization, and Interpretability
S Karamcheti
Brown University, 2018
Mistral—A Journey towards Reproducible Language Model Training
S Karamcheti, L Orr, T Hashimoto, D Jurafsky, CD Manning, C Potts, C Ré, ...
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