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这是一个关于人工智能如何学会更好地思考的故事。想象一下，你在教一个聪明但有点"散漫"的孩子做数学题。这个孩子通常能猜对答案，但他的推理过程常常有漏洞——他会说"因为看起来对所以就对了"，而不是真正理解为什么。如今，来自香港科技大学、上海人工智能实验室、浙江大学和香港浸会大学的研究团队发现了一个巧妙的办法，让这个"散漫的孩子"学会了像数学家一样严谨地思考。这项研究发表于2026年1月，论文编号为ar ...

研究团队也坦诚地讨论了方法的局限性。首先，集成形式化验证确实增加了计算成本——训练时间大约是标准方法的两倍。不过他们认为这个代价是值得的，因为数据效率的提升足以弥补这个成本。其次，将自然语言转换为形式化规范本身是个挑战，特别是对于那些描述模糊或涉及常 ...