A knowledge-graph-guided method that scores an LLM's knowledge gaps and generates atomic, aggregated, and multi-hop QA pairs, improving closed-book QA after fine-tuning.
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GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation
A knowledge-graph-guided method that scores an LLM's knowledge gaps and generates atomic, aggregated, and multi-hop QA pairs, improving closed-book QA after fine-tuning.