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README.md

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-Edit this `README.md` markdown file to author your organization card.
+# QAFD-RAG
+
+Official data and pre-built knowledge graphs for [QAFD-RAG](https://github.com/Tarzanagh/QAFD-RAG) (Query-Aware Flow Diffusion for Graph-Based RAG with Retrieval Guarantees), published at **ICLR 2026**.
+
+- **Paper**: [OpenReview](https://openreview.net/pdf?id=n28wnc2QTc)
+- **Code**: [GitHub](https://github.com/Tarzanagh/QAFD-RAG)
+- **Website**: [qafd-rag.github.io](https://qafd-rag.github.io)
+
+## Datasets
+
+| Dataset | Description |
+|---------|-------------|
+| [qafd/kg](https://huggingface.co/datasets/qafd/kg) | Pre-built knowledge graphs for all benchmarks (UltraDomain, Multi-hop QA, Text-to-SQL, Summarization) |
+
+## Citation
+
+```bibtex
+@inproceedings{zhou2026qafd,
+  title={Query-Aware Flow Diffusion for Graph-Based RAG with Retrieval Guarantees},
+  author={Zhuoping Zhou and Davoud Ataee Tarzanagh and Sima Didari and Wenjun Hu
+          and Baruch Gutow and Oxana Verkholyak and Masoud Faraki and Heng Hao
+          and Hankyu Moon and Seungjai Min},
+  booktitle={International Conference on Learning Representations (ICLR)},
+  year={2026}
+}