Detailed Summary: The paper introduces a new methodology named Deeply Understanding the Problems (DUP) which has significantly improved the reasoning operations of large language models (LLMs). By fostering a deeper comprehension and extraction of key problem-solving information, this technique has proven to be extremely effective. Here are the notable highlights:

• Superior Performance: DUP method beats existing solutions consistently across diverse reasoning benchmarks.
• New Benchmark Record: Achieves a staggering 97.1% accuracy on the GSM8K benchmark in a zero-shot setting.

Opinion: This research represents a major milestone in the ongoing efforts to enhance the cognitive abilities of LLMs. It’s a crucial step forward, especially for applications requiring complex problem-solving abilities. The potential applications in areas such as education, finance, and healthcare, where accurate reasoning is paramount, are immensely promising.