A complementary study on PlanGPT: Evaluation with defined Performance Metrics and comparison with a planner

The paper presents a complementary evaluation of PlanGPT, an LLM for automated planning, focusing on performance metrics such as Plan Cost and Plan Generation Time. The study finds that PlanGPT's performance does not surpass that of a traditional Greedy search strategy, raising questions about the efficacy of LLMs in planning tasks. This assessment is crucial for practitioners as it informs the limitations of applying LLMs like PlanGPT in automated planning scenarios, emphasizing the need for further exploration of hybrid approaches or alternative methodologies.