AI RESEARCH

Effective Reasoning Chains Reduce Intrinsic Dimensionality

arXiv CS.AI

ArXi:2602.09276v2 Announce Type: replace-cross Chain-of-thought (CoT) reasoning and its variants have substantially improved the performance of language models on complex reasoning tasks, yet the precise mechanisms by which different strategies facilitate generalization remain poorly understood. While current explanations often point to increased test-time computation or structural guidance, establishing a consistent, quantifiable link between these factors and generalization remains challenging.