在自动化软件测试领域，一项突破性研究为开发者带来了效率革命。由西伯利亚神经网络公司牵头，联合T技术公司与新西伯利亚国立大学的研究团队，开发出名为RM-RF的智能评估模型，其核心创新在于颠覆了传统"运行才能验证"的测试评估模式。该模型通过直接分析代码文本，即可预测测试用例的质量指标，这项成果已发表于arXiv预印本平台（编号arXiv:2601.13097v1 ...

这项由西伯利亚神经网络公司、T技术公司和新西伯利亚国立大学联合开展的研究发表于2026年1月19日的arXiv预印本平台（编号：arXiv:2601.13097v1），为自动化软件测试领域带来了重大突破。有兴趣深入了解的读者可以通过该编号查询完整论文。

当某科技公司核心代码遭内部员工泄露，损失超八千万的新闻刷屏时，整个行业都在颤抖——原来代码防护这道防火墙，远比想象中脆弱。面对2026年愈发严峻的网络安全形势，如何挑选真正靠谱的加密工具？今天我们撕开五款热门软件的伪装，看看谁才是代码世界的"铜墙铁壁 ...

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这意味着在推理阶段，用户只需要提供问题描述，不需要任何关于简化规则的额外提示，模型就能自动生成既正确又简洁的代码。特别值得注意的是：ShortCoder的pass@100得分（0.967）超越了当前最先进的DeepSeek-Coder-6… ...

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