In chain-of-thought prompting, self-consistency refers to

• A. Sample Multiple Reasoning Paths And Pick The Most Common Final Answer; Improves Robustness To Individual Erroneous Steps.
• B. Forcing A Single Monotonic Chain Of Thought To Ensure Deterministic Output
• C. Ignoring Intermediate Steps To Speed Up Inference
• D. Randomly Selecting A Final Answer Without Reasoning

Answer: (A)

Self-consistency in chain-of-thought prompting is about sampling multiple reasoning paths and taking the most common final answer across those paths. The idea is that errors in intermediate steps can vary from path to path, so by comparing several independent reasoning traces, the final decision tends to be more robust and close to the correct result. This approach leverages the idea that a single flawed step shouldn’t dominate the outcome if you consider many plausible thought processes.

Locking in a single monotonic chain of thought fixes one path and can allow a misstep to steer the entire answer. Skipping intermediate steps eliminates the structured reasoning benefit altogether, reducing transparency and accuracy. Randomly selecting a final answer without reasoning discards the opportunity to use intermediate insights to guide the decision.