| Large Language Models Still Can't Plan (A Benchmark for LLMs on Planning and Reasoning about Change) K Valmeekam, A Olmo, S Sreedharan, S Kambhampati arXiv preprint arXiv:2206.10498, 2022 | 493 | 2022 |
| Plan explanations as model reconciliation: Moving beyond explanation as soliloquy T Chakraborti, S Sreedharan, Y Zhang, S Kambhampati arXiv preprint arXiv:1701.08317, 2017 | 431 | 2017 |
| On the planning abilities of large language models-a critical investigation K Valmeekam, M Marquez, S Sreedharan, S Kambhampati Advances in Neural Information Processing Systems, 2023 | 423 | 2023 |
| Planbench: An extensible benchmark for evaluating large language models on planning and reasoning about change K Valmeekam, M Marquez, A Olmo, S Sreedharan, S Kambhampati Advances in Neural Information Processing Systems 36, 38975-38987, 2023 | 351 | 2023 |
| Leveraging pre-trained large language models to construct and utilize world models for model-based task planning L Guan, K Valmeekam, S Sreedharan, S Kambhampati Advances in Neural Information Processing Systems 36, 79081-79094, 2023 | 328 | 2023 |
| The emerging landscape of explainable ai planning and decision making T Chakraborti, S Sreedharan, S Kambhampati arXiv preprint arXiv:2002.11697, 2020 | 247 | 2020 |
| Plan explicability and predictability for robot task planning Y Zhang, S Sreedharan, A Kulkarni, T Chakraborti, HH Zhuo, ... 2017 IEEE international conference on robotics and automation (ICRA), 1313-1320, 2017 | 239 | 2017 |
| Explicability? legibility? predictability? transparency? privacy? security? the emerging landscape of interpretable agent behavior T Chakraborti, A Kulkarni, S Sreedharan, DE Smith, S Kambhampati Proceedings of the international conference on automated planning and …, 2019 | 219 | 2019 |
| Plan explanations as model reconciliation--an empirical study T Chakraborti, S Sreedharan, S Grover, S Kambhampati 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2019 | 142 | 2019 |
| On the planning abilities of large language models (a critical investigation with a proposed benchmark) K Valmeekam, S Sreedharan, M Marquez, A Olmo, S Kambhampati arXiv preprint arXiv:2302.06706, 2023 | 118 | 2023 |
| Hierarchical expertise-level modeling for user specific robot-behavior explanations S Sreedharan, S Srivastava, S Kambhampati arXiv preprint arXiv:1802.06895, 2018 | 109 | 2018 |
| Why can't you do that hal? explaining unsolvability of planning tasks S Sreedharan, S Srivastava, D Smith, S Kambhampati International Joint Conference on Artificial Intelligence, 2019 | 95 | 2019 |
| Handling model uncertainty and multiplicity in explanations via model reconciliation S Sreedharan, S Kambhampati Proceedings of the International Conference on Automated Planning and …, 2018 | 91 | 2018 |
| Foundations of explanations as model reconciliation S Sreedharan, T Chakraborti, S Kambhampati Artificial Intelligence 301, 103558, 2021 | 90 | 2021 |
| Projection-aware task planning and execution for human-in-the-loop operation of robots in a mixed-reality workspace T Chakraborti, S Sreedharan, A Kulkarni, S Kambhampati 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 76 | 2018 |
| Symbols as a lingua franca for bridging human-ai chasm for explainable and advisable ai systems S Kambhampati, S Sreedharan, M Verma, Y Zha, L Guan Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12262 …, 2022 | 72 | 2022 |
| Gpt3-to-plan: Extracting plans from text using gpt-3 A Olmo, S Sreedharan, S Kambhampati arXiv preprint arXiv:2106.07131, 2021 | 72 | 2021 |
| RADAR-A Proactive Decision Support System for Human-in-the-Loop Planning. S Sengupta, T Chakraborti, S Sreedharan, SG Vadlamudi, ... AAAI Fall Symposia, 269-276, 2017 | 54 | 2017 |
| Bridging the gap: Providing post-hoc symbolic explanations for sequential decision-making problems with inscrutable representations S Sreedharan, U Soni, M Verma, S Srivastava, S Kambhampati arXiv preprint arXiv:2002.01080, 2020 | 52 | 2020 |
| Model-free model reconciliation S Sreedharan, A Olmo, AP Mishra, S Kambhampati arXiv preprint arXiv:1903.07198, 2019 | 48 | 2019 |
Subbarao KambhampatiArizona State UniversityVerified email at asu.edu
