1. This paper aims to evaluate the performance of current LLMs on different temporal factors and select three types of factors, including cope, order, and counterfactual. What is the rationale behind selecting these three types of factors, and how do they relate to each other?
2. More emphasis should be placed on prompt design. This paper introduces several prompting methods to address issues in MenatQA. Since different prompts may result in varying performance outcomes, it is essential to discuss how to design prompts effectively.
3. The analysis of experimental results is insufficient. For instance, the authors only mention that the scope prompting method shows poor performance on GPT-3.5-turbo, but they do not provide any analysis of the underlying reasons behind this outcome.
3. The analysis of experimental results is insufficient. For instance, the authors only mention that the scope prompting method shows poor performance on GPT-3.5-turbo, but they do not provide any analysis of the underlying reasons behind this outcome.