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  license: apache-2.0
 
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- The planner model to select perspectives. Should be combined with BGE-M3 encoder.
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- Refer to https://github.com/ulab-uiuc/DRPG-RebuttalAgent for usage.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: apache-2.0
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+ pipeline_tag: text-generation
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+ # DRPG Planner
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+ The planner model used to select perspectives within the **DRPG** (Decompose, Retrieve, Plan, Generate) framework. It is designed to be used in conjunction with a BGE-M3 encoder to identify the most feasible rebuttal directions.
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+ - **Paper:** [DRPG (Decompose, Retrieve, Plan, Generate): An Agentic Framework for Academic Rebuttal](https://huggingface.co/papers/2601.18081)
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+ - **Repository:** [ulab-uiuc/DRPG-RebuttalAgent](https://github.com/ulab-uiuc/DRPG-RebuttalAgent)
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+
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+ ## About DRPG
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+ DRPG is an agentic framework for automatic academic rebuttal generation. It addresses the challenges of long-context understanding and persuasive response generation in peer review through a four-step process:
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+ 1. **Decompose**: Breaking reviews into atomic concerns.
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+ 2. **Retrieve**: Extracting relevant evidence from the paper.
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+ 3. **Plan**: Using this **Planner** model to identify the most feasible rebuttal strategies (achieving over 98% accuracy in perspective selection).
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+ 4. **Generate**: Creating the final response based on the plan and evidence.
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+ Experiments on data from top-tier conferences demonstrate that DRPG significantly outperforms existing rebuttal pipelines and achieves performance beyond the average human level using only an 8B model.
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+ ## Usage
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+ Refer to the official [GitHub repository](https://github.com/ulab-uiuc/DRPG-RebuttalAgent) for complete usage instructions and implementation details.
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+ ## Citation
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+ ```bibtex
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+ @article{han2025drpg,
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+ title={DRPG (Decompose, Retrieve, Plan, Generate): An Agentic Framework for Academic Rebuttal},
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+ author={Han, Peixuan and Yu, Yingjie and Xu, Jingjun and You, Jiaxuan},
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+ journal={arXiv preprint arXiv:2601.18081},
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+ url={https://arxiv.org/pdf/2601.18081},
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+ year={2026}
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+ }
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+ ```