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2020 – today
- 2023
[c2]Karthik Valmeekam, Matthew Marquez, Alberto Olmo Hernandez, Sarath Sreedharan, Subbarao Kambhampati:
PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change. NeurIPS 2023- [c1]Karthik Valmeekam, Matthew Marquez, Sarath Sreedharan, Subbarao Kambhampati:
On the Planning Abilities of Large Language Models - A Critical Investigation. NeurIPS 2023 - [i5]Karthik Valmeekam, Sarath Sreedharan, Matthew Marquez, Alberto Olmo Hernandez, Subbarao Kambhampati:
On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark). CoRR abs/2302.06706 (2023) - [i4]Karthik Valmeekam, Matthew Marquez, Sarath Sreedharan, Subbarao Kambhampati:
On the Planning Abilities of Large Language Models - A Critical Investigation. CoRR abs/2305.15771 (2023) - [i3]Karthik Valmeekam, Matthew Marquez, Subbarao Kambhampati:
Can Large Language Models Really Improve by Self-critiquing Their Own Plans? CoRR abs/2310.08118 (2023) - [i2]Kaya Stechly, Matthew Marquez, Subbarao Kambhampati:
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems. CoRR abs/2310.12397 (2023) - 2022
- [i1]Utkarsh Soni, Sarath Sreedharan, Mudit Verma, Lin Guan, Matthew Marquez, Subbarao Kambhampati:
Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansion. CoRR abs/2210.15096 (2022)
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