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- ---
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- license: apache-2.0
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- base_model:
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- - deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
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- pipeline_tag: question-answering
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- metrics:
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- - accuracy
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ base_model:
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+ - deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
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+ pipeline_tag: question-answering
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+ metrics:
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+ - accuracy
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+ ---
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+ This model is specialized for causal inference.
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+
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+ ## Model Details
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+
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+ - **Developed by:** OpenCausaLab
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+ - **Model type:** LLM.
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+ - **Language(s) (NLP):** Englsih.
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+
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+
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+ ### Model Sources [optional]
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+
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+ <!-- Provide the basic links for the model. -->
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+
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+ - **Repository:** https://github.com/OpenCausaLab/CauGym
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+ - **Paper :** https://www.arxiv.org/abs/2602.06337
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+
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+
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+
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+ ## Citation
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+
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+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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+ ```latex
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+ @misc{chen2026posttrainingtransformllmscausal,
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+ title={Can Post-Training Transform LLMs into Causal Reasoners?},
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+ author={Junqi Chen and Sirui Chen and Chaochao Lu},
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+ year={2026},
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+ eprint={2602.06337},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2602.06337},
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+ }
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+ ```