Large Language Models (LLMs) excel in generating personalized content and facilitating interactive dialogues, showcasing their remarkable aptitude for a myriad of applications. However, their capabilities in reasoning and providing explainable outputs, especially within the context of reasoning abilities, remain areas for improvement. In this study, we delve into the reasoning abilities of LLMs, highlighting the current challenges and limitations that hinder their effectiveness in complex reasoning scenarios.

翻译：大型语言模型（LLMs）在生成个性化内容和促进交互式对话方面表现出色，展示了其在众多应用中的卓越能力。然而，它们在推理及提供可解释输出方面的能力，尤其是在推理能力的语境中，仍有待提升。在本研究中，我们深入探讨了LLMs的推理能力，揭示了当前阻碍其在复杂推理场景中有效发挥的挑战与局限。