Stepwise Self-Consistent Mathematical Reasoning with Large Language Models

arXiv:2402.17786v1 Announce Type: cross
Abstract: Using Large Language Models for complex mathematical reasoning is difficult, primarily due to the complexity of multi-step reasoning. The main challenges of this process include (1) selecting critical intermediate results to advance the procedure, and (2) limited exploration of potential solutions. To address these issues, we introduce a novel algorithm, namely Stepwise Self-Consistent Chain-of-Thought (SSC-CoT). SSC-CoT employs a strategy of selecting intermediate steps based on the intersection of various reasoning chains. Additionally, SSC-CoT enables the …

arxiv consistent cs.ai cs.cl cs.lg language language models large language large language models mathematical reasoning reasoning type