Chain-of-Thought Elicitation
A prompting method that asks a model to reveal intermediate reasoning steps before the final answer
#Chain-of-Thought Elicitation#CoT elicitation#step-by-step reasoning prompt
What is Chain-of-Thought Elicitation?
Chain-of-Thought Elicitation is a prompting strategy that asks a model to expose intermediate reasoning steps, not only the final output.
Typical instructions include prompts like "reason step by step before answering."
Why does it matter?
It can improve observability and troubleshooting for difficult reasoning tasks.
At the same time, large-scale collection of exposed reasoning traces can raise capability-extraction and misuse concerns.
Practical checkpoints
- Use selectively: Apply to workflows where reasoning transparency is actually needed.
- Set exposure policy: Define when and how much reasoning detail can be shown.
- Measure separately: Track final-answer accuracy and reasoning quality as different metrics.
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