| 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 | 5070 | 2021 |
| Open X-Embodiment: Robotic Learning Datasets and RT-X Models A O’Neill, A Rehman, A Maddukuri, A Gupta, A Padalkar, A Lee, A Pooley, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 6892-6903, 2024 | 549* | 2024 |
| OpenVLA: An Open-Source Vision-Language-Action Model MJ Kim, K Pertsch, S Karamcheti, T Xiao, A Balakrishna, S Nair, ... arXiv preprint arXiv:2406.09246, 2024 | 295 | 2024 |
| OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents H Laurençon, L Saulnier, L Tronchon, S Bekman, A Singh, A Lozhkov, ... arXiv preprint arXiv:2306.16527, 2023 | 274 | 2023 |
| 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 | 226 | 2019 |
| DROID: A Large-Scale In-the-Wild Robot Manipulation Dataset A Khazatsky, K Pertsch, S Nair, A Balakrishna, S Dasari, S Karamcheti, ... arXiv preprint arXiv:2403.12945, 2024 | 151 | 2024 |
| 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 | 138 | 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 11th …, 2021 | 101 | 2021 |
| 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 | 95 | 2024 |
| 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 | 86* | 2023 |
| ELLA: Exploration through Learned Language Abstraction S Mirchandani, S Karamcheti, D Sadigh Advances in Neural Information Processing Systems 34, 2021 | 71 | 2021 |
| 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 | 68 | 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 | 49 | 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 | 39 | 2019 |
| LILA: Language-Informed Latent Actions S Karamcheti, M Srivastava, P Liang, D Sadigh Conference on Robot Learning, 1379-1390, 2022 | 36 | 2022 |
| 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 | 33 | 2019 |
| Toward Grounded Commonsense Reasoning M Kwon, H Hu, V Myers, S Karamcheti, A Dragan, D Sadigh International Conference on Robotics and Automation (ICRA), 2024 | 31* | 2024 |
| Learning Adaptive Language Interfaces through Decomposition S Karamcheti, D Sadigh, P Liang First Workshop on Interactive and Executable Semantic Parsing (IntEx-SemPar …, 2020 | 29 | 2020 |
| Generating Interactive Worlds with Text A Fan, J Urbanek, P Ringshia, E Dinan, E Qian, S Karamcheti, ... AAAI, 1693-1700, 2020 | 28 | 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 | 26 | 2021 |
Dorsa SadighStanford UniversityVerified email at cs.stanford.edu
