A reusable per-topic knowledge graph, built once from Wikipedia, lets an LLM generate multi-hop multiple-choice questions whose difficulty is set by path depth, with human-audited quality and model rankings that track MMLU.
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KNIGHT: Knowledge Graph-Driven Multiple-Choice Question Generation with Adaptive Hardness Calibration
A reusable per-topic knowledge graph, built once from Wikipedia, lets an LLM generate multi-hop multiple-choice questions whose difficulty is set by path depth, with human-audited quality and model rankings that track MMLU.