Abstract
Chain-of-Thought(CoT) prompting and its variants explore equipping large language models (LLMs) with high-level reasoning abilities by emulating human-like linear cognition and logic. However, the human mind is complicated and mixed with both linear and nonlinear thinking. In this work, we propose \textbf\{I\}nferential \textbf\{E\}xclusion \textbf\{P\}rompting (IEP), a novel prompting that combin