Guide-linked quiz · Medium Level
Analogical and Step-Back Prompting Quiz
Compare generated analogies with abstraction-first reasoning, and review how each prompting method connects to a target problem.
Question 1 of 8
What does analogical prompting ask the model to do before solving the target problem?
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- What does analogical prompting ask the model to do before solving the target problem?
- Self-generate relevant similar problems and their solutions
- Translate the problem into another language
- Count the words in the problem
- Refuse to answer hard problems
- What is the first step in Step-Back prompting?
- Immediately compute the final answer
- Ask a higher-level abstraction question about the governing principle
- Generate ten random answers
- Translate the question
- A key advantage of analogical prompting over fixed few-shot examples is that:
- It uses no model at all
- It always uses exactly one example
- Its examples are tailored to each specific problem
- It avoids reasoning entirely
- Why does grounding an answer in a stated principle (Step-Back) help?
- It makes the answer longer
- It hides the question
- It removes the need for any reasoning
- It constrains later detailed reasoning and reduces intermediate slips
- On what kinds of tasks did Step-Back prompting show notable gains?
- Physics, chemistry, and multi-hop reasoning questions
- Only image classification
- Only spell-checking
- Audio transcription
- What is a noted risk of analogical prompting?
- It can only run on phones
- The self-generated examples may be irrelevant or wrong
- It requires no prompt
- It always needs human examples
- After a Step-Back prompt surfaces a general principle, what does the model do next?
- Replaces the question with a randomly generated analogy
- Stops without answering the original question
- Uses that principle to reason about the original concrete question
- Fine-tunes its weights on the principle
- Which task areas are reported for analogical prompting in the cited research?
- Satellite image segmentation and speech diarization
- Medical imaging and ship routing
- Only next-token prediction on unstructured text
- Math problem solving and code generation
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