This AI Paper Explores the Impact of Reasoning Step Length on Chain of Thought Performance in Large Language Models

Large language models (LLMs) have taken a forefront position, particularly in the complex domain of problem-solving and reasoning tasks. Development in this arena is the Chain of Thought (CoT) prompting technique, which mirrors the sequential reasoning of humans and shows remarkable effectiveness in various challenging scenarios. However, despite its promising applications, a detailed understanding of […]

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