An Analysis of Large Language Model Reasoning Path Based on Dynamic Search and Self-Correction
It is found that multi-path collaborative search is conducive to improving the comprehensiveness of dynamic exploration, and self-correction can optimize the reasoning path, but there are also failure scenarios in intrinsic self-correction.