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 | 196 | 2022 |
On the Planning Abilities of Large Language Models--A Critical Investigation K Valmeekam, M Marquez, S Sreedharan, S Kambhampati Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 92 | 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 Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 40 | 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 Thirty-seventh Conference on Neural Information Processing Systems Datasets …, 2023 | 31 | 2023 |
Can Large Language Models Really Improve by Self-critiquing Their Own Plans? K Valmeekam, M Marquez, S Kambhampati arXiv preprint arXiv:2310.08118, 2023 | 31 | 2023 |
Opinion Mining on Emojis using Deep Learning Techniques V Karthik, D Nair, J Anuradha Procedia Computer Science 132, 167-173, 2018 | 19 | 2018 |
RADAR-X: An Interactive Mixed Initiative Planning Interface Pairing Contrastive Explanations and Revised Plan Suggestions K Valmeekam, S Sreedharan, S Sengupta, S Kambhampati Proceedings of the International Conference on Automated Planning and …, 2022 | 14 | 2022 |
LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks S Kambhampati, K Valmeekam, L Guan, K Stechly, M Verma, S Bhambri, ... arXiv preprint arXiv:2402.01817, 2024 | 9 | 2024 |
On the Self-Verification Limitations of Large Language Models on Reasoning and Planning Tasks K Stechly, K Valmeekam, S Kambhampati arXiv preprint arXiv:2402.08115, 2024 | 5 | 2024 |
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences L Guan, K Valmeekam, S Kambhampati The Eleventh International Conference on Learning Representations, 2022 | 5 | 2022 |
RADAR-X: An interactive interface pairing contrastive explanations with revised plan suggestions V Karthik, S Sreedharan, S Sengupta, S Kambhampati Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 16051 …, 2021 | 5 | 2021 |
On the role of large language models in planning, July 2023. Tutorial presented at the International Conference on Automated Planning and Scheduling (ICAPS), Prague S Kambhampati, K Valmeekam, M Marquez, L Guan | 3 | 2023 |
Chain of Thoughtlessness: An Analysis of CoT in Planning K Stechly, K Valmeekam, S Kambhampati arXiv preprint arXiv:2405.04776, 2024 | | 2024 |
A Study of Explainable Decision Support for Longitudinal Sequential Decision Making K Valmeekam Arizona State University, 2021 | | 2021 |