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@@ -31,7 +31,7 @@ GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthe
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## 📝 What is GraphGen?
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GraphGen is a framework for synthetic data generation guided by knowledge graphs. Here is our [**paper**](https://github.com/open-sciencelab/GraphGen/tree/main/resources/GraphGen.pdf).
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GraphGen is a framework for synthetic data generation guided by knowledge graphs. Here is our [**paper**](https://github.com/open-sciencelab/GraphGen/tree/main/resources/GraphGen.pdf) and [best practice](https://github.com/open-sciencelab/GraphGen/issues/17).
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It begins by constructing a fine-grained knowledge graph from the source text,then identifies knowledge gaps in LLMs using the expected calibration error metric, prioritizing the generation of QA pairs that target high-value, long-tail knowledge.
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Furthermore, GraphGen incorporates multi-hop neighborhood sampling to capture complex relational information and employs style-controlled generation to diversify the resulting QA data.

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