Ever wondered why large reasoning models sometimes overcomplicate problems? This study finds shorter reasoning paths consistently outperform longer ones across stochastic decodes, but exhaustive exploration of the tree-like reasoning space is impossible due to exponential
Shorter reasoning paths outperform longer ones in AI models
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