LLMs reason in discrete tokens, but human thought is fluid, continuous, and abstract. This paper from UCSB and UCSC asks: What if models could reason more like us? Their proposed Soft Thinking is a training-free method that generates soft concept tokens (i.e., weighted mixtures

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