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CLR-Bench: Evaluating Large Language Models in College-Level Reasoning

💡 原文英文，约100词，阅读约需1分钟。
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内容提要

本研究提出CLR-Bench，旨在评估大型语言模型（LLMs）在大学级推理中的能力。研究发现，尽管GPT-4 turbo等模型在直接回答问题上表现良好，但在同时回答和推理方面的能力显著下降，显示出其推理能力亟待提升。

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标签

CLR-Bench GPT-4 turbo models 大型语言模型 大学级推理 推理能力
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