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README.md
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- bge-m3
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- arxiv:2508.16438
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---
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# OPERA Retrieval Corpus
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(*OPERA: A Reinforcement Learning–Enhanced Orchestrated Planner-Executor
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Architecture for Reasoning-Oriented Multi-Hop Retrieval*).
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[](https://arxiv.org/pdf/2508.16438)
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[](https://github.com/Ameame1002/OPERA)
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[](https://doi.org/10.1609/aaai.v40i38.40499)
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This release contains two files:
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| File | Size | Purpose |
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require MAPGRPO training of the three agents; the training code is not
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part of this release.
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## Citation
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If you use this corpus or the OPERA pipeline, please cite:
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```bibtex
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@article{Liu2026OPERA,
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author = {Liu, Yu and Liu, Yanbing and Yuan, Fangfang and Cao, Cong and Sun, Youbang and Peng, Kun and Chen, WeiZhuo and Li, Jianjun and Ma, Zhiyuan},
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title = {{OPERA}: A Reinforcement Learning--Enhanced Orchestrated Planner-Executor Architecture for Reasoning-Oriented Multi-Hop Retrieval},
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journal = {Proceedings of the AAAI Conference on Artificial Intelligence},
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volume = {40},
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number = {38},
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pages = {32258--32266},
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year = {2026},
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doi = {10.1609/aaai.v40i38.40499},
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}
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```
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## License
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The retrieval index and metadata are released for research use only.
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- bge-m3
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- opera
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---
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# OPERA Retrieval Corpus
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(*OPERA: A Reinforcement Learning–Enhanced Orchestrated Planner-Executor
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Architecture for Reasoning-Oriented Multi-Hop Retrieval*).
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This release contains two files:
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| File | Size | Purpose |
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require MAPGRPO training of the three agents; the training code is not
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part of this release.
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## License
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The retrieval index and metadata are released for research use only.
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