Research on Enhancing Complex Reasoning Capabilities of Large Language Models Based on Chain-of-Thought
Addressing the bottlenecks of existing Chain-of-Thought (CoT) methods in complex reasoning of Large Language Models (LLMs), such as reasoning skips, frequent logical illusions, and unbalanced computational costs, this paper proposes an original Adaptive Bidirectional Verification Chain-of-Thought (ABV-CoT) algorithm. T...