Exploring the transformative potential of STEP-BACK PROMPTING, the paper introduces a novel, human cognition-inspired technique aimed at substantially enhancing the multi-step reasoning abilities of Transformer-based Large Language Models, showcasing significant performance improvements across varied complex tasks.
