Datasets:
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language:
- en
license: apache-2.0
task_categories:
- text-generation
tags:
- rag
- retrieval-augmented-generation
---
# SPARK Training Data
This repository contains the training data for **SPARK**, presented in the paper [SPARK: Adaptive Parametric Knowledge Participation for Faithful Retrieval-Augmented Generation](https://arxiv.org/abs/2606.27786).
- **Repository:** https://github.com/OpenBMB/SPARK
- **Paper:** https://arxiv.org/abs/2606.27786
## Dataset Description
SPARK is a lightweight framework for resolving knowledge conflicts in retrieval-augmented generation (RAG). With the backbone LLM frozen, its participation policy dynamically regulates layer-wise FFN contributions, determining when and to what extent parametric knowledge participates during generation.
This dataset contains the training data synthesized with [FlashRAG](https://github.com/RUC-NLPIR/FlashRAG) using [MRQA-Shared-Task-2019](https://github.com/mrqa/MRQA-Shared-Task-2019) to train the participation policy of SPARK.
## Citation
If you find this work useful, please cite our paper:
```bibtex
@misc{li2026sparkadaptiveparametricknowledge,
title={SPARK: Adaptive Parametric Knowledge Participation for Faithful Retrieval-Augmented Generation},
author={Ruochang Li and Pengcheng Huang and Zhenghao Liu and Yukun Yan and Huiyuan Xie and Yu Gu and Ge Yu and Maosong Sun},
year={2026},
eprint={2606.27786},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2606.27786},
}
``` |