How does hierarchical topic exploration extract both knowledge and reasoning patterns from LLMs?

Question

Accepted Answer

The system generates training examples that capture both factual knowledge and reasoning approaches by asking for explicit step-by-step thinking. This extracts not just what the model knows, but how it approaches problems in specific domains.

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Reverse Engineering LLMs to Extract Training Datasets