Update model card: correct pipeline tag, add library name and paper/code links

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by nielsr HF Staff - opened
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  1. README.md +20 -4
README.md CHANGED
@@ -1,14 +1,18 @@
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  ---
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- license: apache-2.0
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  language:
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  - zh
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- base_model:
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- - google/electra-base-discriminator
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- pipeline_tag: text-classification
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  ---
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  # 中文检错前筛模型:背景、训练、改造与结果摘要
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  本文档概括本仓库在「纠错前筛」方向上的**字级**检测目标、数据与上游来源、训练与改造过程,以及阶段性评测与性能结论。操作级命令仍以 `UPLOAD_AND_TRAIN.txt`、`CHAR_PIPELINE.txt` 为准。
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  ## 8. 引用与致谢
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  方法与数据谱系主要参考 **TW-NLP** 的 **ChineseErrorCorrector** 项目及其公开的 Hugging Face 数据集与模型卡片;预训练骨干为 **哈工大 HFL** 发布的 **Chinese ELECTRA**(discriminator)。具体论文与引用格式见上游与 [ELECTRA 模型页](https://huggingface.co/hfl/chinese-electra-180g-base-discriminator) 相关说明。
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ base_model: hfl/chinese-electra-180g-base-discriminator
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  language:
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  - zh
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+ license: apache-2.0
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+ pipeline_tag: token-classification
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+ library_name: transformers
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  ---
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  # 中文检错前筛模型:背景、训练、改造与结果摘要
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+ This model is a character-level Chinese error detector presented in the paper [CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards](https://huggingface.co/papers/2606.00020).
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+
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+ The official code is available in the [ChineseErrorCorrector](https://github.com/TW-NLP/ChineseErrorCorrector) repository.
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+
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  本文档概括本仓库在「纠错前筛」方向上的**字级**检测目标、数据与上游来源、训练与改造过程,以及阶段性评测与性能结论。操作级命令仍以 `UPLOAD_AND_TRAIN.txt`、`CHAR_PIPELINE.txt` 为准。
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  ---
 
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  ## 8. 引用与致谢
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  方法与数据谱系主要参考 **TW-NLP** 的 **ChineseErrorCorrector** 项目及其公开的 Hugging Face 数据集与模型卡片;预训练骨干为 **哈工大 HFL** 发布的 **Chinese ELECTRA**(discriminator)。具体论文与引用格式见上游与 [ELECTRA 模型页](https://huggingface.co/hfl/chinese-electra-180g-base-discriminator) 相关说明。
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+
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+ ```bibtex
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+ @misc{tian2026csrpchainofthoughtreasoningchinese,
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+ title={CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards},
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+ author={Wei Tian and Yuhao Zhou and Man Lan},
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+ year={2026},
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+ eprint={2606.00020},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2606.00020},
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+ }
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+ ```