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@@ -32,7 +32,7 @@ and Difficulty-Aware Training</h1>
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  <div align="center">
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- <!-- [![Paper](https://img.shields.io/badge/arXiv-Paper-red)]() -->
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  [![Collections](https://img.shields.io/badge/馃-Collections-yellow)](https://huggingface.co/collections/OpenDataArena/oda-finance)
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  </div>
@@ -115,13 +115,21 @@ Models trained on ODA-Fin-SFT-318K demonstrate superior performance across 9 fin
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  - **TaTQA**: Hybrid tabular-textual arithmetic operations (Acc/en)
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  - **ConvFinQA**: Multi-turn conversational numerical analysis (Acc/en)
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- <!-- --- -->
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- <!-- ## 馃摎 Citation
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  ```bibtex
 
 
 
 
 
 
 
 
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  }
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- ``` -->
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  ---
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  <div align="center">
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+ [![Paper](https://img.shields.io/badge/arXiv-Paper-red)](https://arxiv.org/abs/2603.07223)
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  [![Collections](https://img.shields.io/badge/馃-Collections-yellow)](https://huggingface.co/collections/OpenDataArena/oda-finance)
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  </div>
 
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  - **TaTQA**: Hybrid tabular-textual arithmetic operations (Acc/en)
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  - **ConvFinQA**: Multi-turn conversational numerical analysis (Acc/en)
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+ ---
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+ ## 馃摎 Citation
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  ```bibtex
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+ @misc{cao2026unlockingdatavaluefinance,
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+ title={Unlocking Data Value in Finance: A Study on Distillation and Difficulty-Aware Training},
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+ author={Chuxue Cao and Honglin Lin and Zhanping Zhong and Xin Gao and Mengzhang Cai and Conghui He and Sirui Han and Lijun Wu},
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+ year={2026},
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+ eprint={2603.07223},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.LG},
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+ url={https://arxiv.org/abs/2603.07223},
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  }
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+ ```
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  ---
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