A prompting strategy where the model is encouraged to produce intermediate reasoning steps before arriving at a final answer, improving performance on comple...
When the AI shows its work step by step, like how your teacher wants you to show how you solved the math problem.
A prompting technique where you ask the AI to think through a problem step by step instead of jumping to the answer — it usually gives better results.
A prompting strategy where the model is encouraged to produce intermediate reasoning steps before arriving at a final answer, improving performance on complex tasks.
An elicitation technique that prompts the model to decompose complex reasoning into explicit intermediate steps, improving accuracy on arithmetic, logic, and multi-hop questions through serial computation.
A test-time compute scaling strategy that extends the model's effective reasoning depth by eliciting explicit intermediate tokens — trading increased generation length for improved accuracy on compositional tasks, analyzable through the lens of computational complexity and scratchpad augmentation.
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