Plan explanations as model reconciliation: Moving beyond explanation as soliloquy T Chakraborti, S Sreedharan, Y Zhang, S Kambhampati arXiv preprint arXiv:1701.08317, 2017 | 357 | 2017 |
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 | 248 | 2022 |
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 | 208 | 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 | 188 | 2019 |
The emerging landscape of explainable ai planning and decision making T Chakraborti, S Sreedharan, S Kambhampati arXiv preprint arXiv:2002.11697, 2020 | 178 | 2020 |
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 | 114 | 2019 |
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 | 108 | 2023 |
Hierarchical expertise-level modeling for user specific robot-behavior explanations S Sreedharan, S Srivastava, S Kambhampati arXiv preprint arXiv:1802.06895, 2018 | 95 | 2018 |
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 | 75 | 2023 |
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 | 74 | 2019 |
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 | 73 | 2018 |
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, 2024 | 71 | 2024 |
Handling model uncertainty and multiplicity in explanations via model reconciliation S Sreedharan, S Kambhampati Proceedings of the International Conference on Automated Planning and …, 2018 | 71 | 2018 |
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 | 52 | 2023 |
Foundations of explanations as model reconciliation S Sreedharan, T Chakraborti, S Kambhampati Artificial Intelligence 301, 103558, 2021 | 51 | 2021 |
GPT3-to-plan: Extracting plans from text using GPT-3 A Olmo, S Sreedharan, S Kambhampati arXiv preprint arXiv:2106.07131, 2021 | 50 | 2021 |
Radar—a proactive decision support system for human-in-the-loop planning S Sengupta, T Chakraborti, S Sreedharan, SG Vadlamudi, ... 2017 AAAI Fall Symposium Series, 2017 | 50 | 2017 |
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 | 47 | 2022 |
Alternative modes of interaction in proximal human-in-the-loop operation of robots T Chakraborti, S Sreedharan, A Kulkarni, S Kambhampati arXiv preprint arXiv:1703.08930, 2017 | 47 | 2017 |
–d3wa+–a case study of xaip in a model acquisition task for dialogue planning S Sreedharan, T Chakraborti, C Muise, Y Khazaeni, S Kambhampati Proceedings of the International Conference on Automated Planning and …, 2020 | 41 | 2020 |