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English(EN) Computational Experiments in Number Theory

AI模型在数论任务中展现高准确率，验证猜想

作者 PulseAugur 编辑部 · [1 个来源] ·

一篇新研究论文探讨了AI在数论中的应用，评估了Qwen2.5-Math-7B-Instruct大语言模型在算法和计算任务上的表现。当提供最优提示时，该模型在包含三十个算法问题和三十个计算问题的基准测试中展现出高准确率，至少达到0.95。此外，该论文使用LightGBM分类器对狄利克雷特征的猜想进行了实证验证，基于其初始零点的统计特征，预测模数时的准确率超过93.9%。 AI

影响 展示了LLM在专业数学领域以及数论猜想实证验证方面的潜力。

排序理由 该集群包含一篇学术论文，详细介绍了使用AI模型进行数论任务的计算实验。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

AI模型在数论任务中展现高准确率，验证猜想

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该集群包含一篇学术论文，详细介绍了使用AI模型进行数论任务的计算实验。[lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, model release
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87 days old
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Ali Saraeb ·

    计算数论实验

    arXiv:2504.19451v4 Announce Type: replace-cross Abstract: This paper presents two concrete applications of Artificial Intelligence to algorithmic and analytic number theory. Recent benchmarks of large language models have mainly focused on general mathematics problems and the cur…

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