Testing Large Language Models on Math Puzzles
文章探讨了大型语言模型（LLMs）在解决复杂数学问题上的学习机制和性能评估。通过生成算术谜题数据集的框架，研究了零样本学习能力、微调模型的表现以及模型在推理任务中的局限性。同时分析了LLMs在处理算术问题时的挑战，并提出了一种增强符号任务的神经记忆方法。 2025-8-23 16:36:6 Author: hackernoon.com(查看原文) 阅读量:14 收藏

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August 23rd, 2025

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