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English(EN) How Prompt Style Affects AI Accuracy and Speed in Competitive Programming

AI提示风格在竞技编程任务中的有效性各不相同

一项新近发表在arXiv上的研究探讨了不同的提示风格如何影响GPT-5.5等AI模型在竞技编程任务中的准确性和速度。研究发现,最优提示风格因任务类型和所使用的评估指标(平均值 vs. 中位数)而异,这表明通用提示并非有效。该研究还将AI在国际信息学奥林匹克竞赛中的表现与人类选手进行了比较,结果显示AI在某些任务上表现更好,而在另一些任务上表现较差,这暗示了AI与人类在该领域能力之间存在微妙的关系。 AI

影响 理解提示敏感性对于优化AI在竞技编程等专业领域的性能至关重要。

排序理由 关于AI模型性能和提示技术的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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AI提示风格在竞技编程任务中的有效性各不相同

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关于AI模型性能和提示技术的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Saad B. Alarifi, Mohammed A. Alam ·

    How Prompt Style Affects AI Accuracy and Speed in Competitive Programming

    arXiv:2610.30223v1 Announce Type: new Abstract: Large language models are increasingly used in competitive programming, and their outputs are sensitive to how a prompt is phrased. Prior work has compared prompt strategies for accuracy on competitive programming, but not for runti…