\n ## Textual Document: Chain-of-Thought (CoT) Explanation Prompt Example ### Overview The image presents a textual example of a prompt designed to elicit Chain-of-Thought reasoning from a language model. It demonstrates a question-and-answer format, where the model is instructed to first provide step-by-step reasoning before selecting an answer from a given set of choices. ### Components/Axes The document is structured into question-answer pairs. Each pair consists of: 1. A prompt instruction at the top. 2. A question labeled "Q:". 3. A set of choices labeled "(A)", "(B)", "(C)", and "(D)". 4. An answer labeled "A:", which includes the reasoning process and the final selected answer. ### Detailed Analysis or Content Details The document contains three examples: **Example 1:** * **Prompt:** "You will be given a question at the end, after the examples, for which you are to select the most appropriate answer by indicating the associated letter. Please first output step-by-step reasoning about how to solve the question. Then output the answer. You MUST output exactly one of the provided answers." * **Question:** "Q: This is a question Which one of the choices is correct, (A), (B), (C) or (D)?" * **Choices:** * (A) first answer * (B) second answer * (C) third answer * (D) fourth answer * **Answer:** "A: Let's think step by step. Given the scenario, we know that answer cannot be (B) or (C) because... From here we continue our line of reasoning... Therefore, the answer is (A)." **Example 2:** * **Question:** "Q: This is another question Which one of the choices is correct, (A), (B), (C) or (D)?" * **Choices:** * (A) first answer * (B) second answer * (C) third answer * (D) fourth answer * **Answer:** "A: Let's think step by step. This is more step-by-step reasoning Therefore the answer is (C)." **Example 3:** * **Question:** "Q: [multiple choice question]" * **Answer:** "A: Let's think step by step." ### Key Observations * The prompt emphasizes the importance of *showing* the reasoning process, not just providing the answer. * The examples demonstrate a conversational tone ("Let's think step by step"). * The reasoning provided in the first two examples is somewhat vague and incomplete ("because...", "From here we continue our line of reasoning..."). * The third example is incomplete, suggesting it's a placeholder for a future question. ### Interpretation This document serves as a template or example for prompting a language model to perform Chain-of-Thought reasoning. The goal is to encourage the model to articulate its thought process, making its decision-making more transparent and potentially more accurate. The "Let's think step by step" phrase acts as a trigger for the model to engage in this type of reasoning. The incomplete examples suggest this is a demonstration of the *format* rather than a fully fleshed-out reasoning process. The prompt's insistence on selecting *exactly one* of the provided answers is a constraint designed to ensure a definitive response. The document highlights a technique for improving the reliability and explainability of language model outputs.