在近年来的人工智能研究中，思维链的概念越来越受到重视，尤其是在大型语言模型的训练和推理中。最近，西湖大学 MAPLE 实验室的齐国君教授团队首次提出了一种新颖的 “扩散式发散思维链”，这是一种为扩散语言模型量身定制的全新推理方式。传统的大型语言模型通常采用线性思维链，即通过逐步推理生成答案。然而，人的思维过程往往更为复杂，充满了非线性和跳跃性的特点。齐教授的团队认为，模仿这种发散思维将有助于提升模型的创造力和解决问题的能力。扩散式发散思维链
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