| What we instagram: A first analysis of instagram photo content and user types Y Hu, L Manikonda, S Kambhampati Proceedings of the international AAAI conference on web and social media 8 …, 2014 | 1878 | 2014 |
| Multiresolution path planning for mobile robots S Kambhampati, L Davis IEEE Journal on Robotics and Automation 2 (3), 135-145, 1986 | 628 | 1986 |
| 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 NeurIPS 2022 Foundation Models for Decision Making Workshop, 2022 | 493 | 2022 |
| A validation-structure-based theory of plan modification and reuse S Kambhampati, JA Hendler Artificial Intelligence 55 (2-3), 193-258, 1992 | 468 | 1992 |
| Plan explanations as model reconciliation: Moving beyond explanation as soliloquy T Chakraborti, S Sreedharan, Y Zhang, S Kambhampati Proceedings of IJCAI, 156-163, 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 36, 75993-76005, 2023 | 423 | 2023 |
| Position: LLMs Can’t Plan, But Can Help Planning in LLM-Modulo Frameworks S Kambhampati, K Valmeekam, L Guan, M Verma, K Stechly, S Bhambri, ... Forty-first International Conference on Machine Learning, 2024 | 419* | 2024 |
| 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 |
| Planning as constraint satisfaction: Solving the planning graph by compiling it into CSP MB Do, S Kambhampati Artificial Intelligence 132 (2), 151-182, 2001 | 343 | 2001 |
| A survey of moving target defenses for network security S Sengupta, A Chowdhary, A Sabur, A Alshamrani, D Huang, ... IEEE Communications Surveys & Tutorials 22 (3), 1909-1941, 2020 | 337 | 2020 |
| 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 |
| Sapa: A multi-objective metric temporal planner M Do, S Kambhampati Journal of Artificial Intelligence Research 20, 155-194, 2003 | 293 | 2003 |
| Planning as refinement search: A unified framework for evaluating design tradeoffs in partial-order planning S Kambhampati, CA Knoblock, Q Yang Artificial Intelligence 76 (1-2), 167-238, 1995 | 266 | 1995 |
| When is temporal planning really temporal? W Cushing, S Kambhampati, Mausam, D Weld Proceedings of the International Joint Conference on Artificial Intelligence …, 2007 | 249* | 2007 |
| The emerging landscape of explainable ai planning and decision making T Chakraborti, S Sreedharan, S Kambhampati arXiv preprint arXiv:2002.11697, 2020 | 247 | 2020 |
| Integration of biological sources: current systems and challenges ahead T Hernandez, S Kambhampati ACM SIgmod Record 33 (3), 51-60, 2004 | 244 | 2004 |
| Reviving partial order planning XL Nguyen, S Kambhampati IJCAI 1, 459-464, 2001 | 244 | 2001 |
| 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 |
| # metoo through the lens of social media L Manikonda, G Beigi, S Kambhampati, H Liu International conference on social computing, behavioral-cultural modeling …, 2018 | 224 | 2018 |
| 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 |
Sarath SreedharanAssistant Professor, CSUVerified email at colostate.edu
