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# 📊 Reproduce the Results
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To reproduce the experiments and benchmarks from the paper, follow the instructions provided in the official GitHub repository:
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[👉 GitHub: OpenBMB/PIP-KAG](https://github.com/OpenBMB/PIP-KAG).
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# 📁 Model Details
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Model Name: PIP-KAG-7B
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Architecture: LLaMA3-8B-Instruct with Parametric Pruning
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Training Data: [CoConflictQA](https://huggingface.co/datasets/chengpingan/PIP-KAG) Dataset
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Pretrained Tasks: Knowledge-Augmented Generation, Contextual Faithfulness Evaluation
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# 🔖 Citation
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If you use PIP-KAG in your work, please consider citing our paper:
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```
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@misc{huang2025pipkagmitigatingknowledgeconflicts,
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```
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- PEFT 0.14.0 -->
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---
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## 📊 Reproduce the Results
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To reproduce the experiments and benchmarks from the paper, follow the instructions provided in the official GitHub repository:
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[👉 GitHub: OpenBMB/PIP-KAG](https://github.com/OpenBMB/PIP-KAG).
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## 📁 Model Details
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Model Name: PIP-KAG-7B
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Architecture: LLaMA3-8B-Instruct with Parametric Pruning
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Training Data: [CoConflictQA](https://huggingface.co/datasets/chengpingan/PIP-KAG) Dataset
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Pretrained Tasks: Knowledge-Augmented Generation, Contextual Faithfulness Evaluation
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## 🔖 Citation
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If you use PIP-KAG in your work, please consider citing our paper:
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```
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@misc{huang2025pipkagmitigatingknowledgeconflicts,
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```
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