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Overview

How can we improve the effectiveness of Zero-Shot Chain of Thought (CoT) prompts? Plan and Solve improves the use of Zero-Shot Chain of Thought by adding more detailed instructions to the prompt given to large language models. Plan and Solve Process:
  1. Generate Reasoning: Prompt the model to explicitly devise a plan for solving a problem before generating intermediate reasoning
  2. Extract Answer: Extract the final answer from the model’s chain of thought
The key improvement is guiding the LLM to pay more attention to calculation and intermediate results to ensure they are correctly performed.

Example

References

  1. Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models