AI RESEARCH
SAT: Balancing Reasoning Accuracy and Efficiency with Stepwise Adaptive Thinking
arXiv CS.CL
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ArXi:2604.07922v1 Announce Type: cross Large Reasoning Models (LRMs) have revolutionized complex problem-solving, yet they exhibit a pervasive "overthinking", generating unnecessarily long reasoning chains. While current solutions improve token efficiency, they often sacrifice fine-grained control or risk disrupting the logical integrity of the reasoning process. To address this, we