EP229: Fixing AI Overthinking

Title: LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language ModelsSource: http://arxiv.org/abs/2605.09806v1Summary:LEAD establishes a foundational reinforcement learning mechanism for reasoning models that dynamically calibrates the balance between correctness and verbosity at each training step. It solves the critical issue of 'overthinking' in modern reasoning models by introducing online, per-problem length estimation, paving the way for more efficient and scalable reasoning architectures.