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@@ -35,7 +35,7 @@ As the names suggest, Jellyfish-13B focuses on providing accurate, direct answer
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  In contrast, Jellyfish-13B-Reasoning distills knowledge from GPT-4. It fine-tuned with data containing reasons and chain-of-thought responses for solving data preprocessing tasks
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  generated by GPT-4.
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- **Jellyfish paper will coming soon!**
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  - **Developed by:** Haochen Zhang, Yuyang Dong, Chuan Xiao, Masafumi Oyamada
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  - **Contact: [email protected]**
@@ -103,10 +103,10 @@ As of now, we've tested Jellyfish exclusively with the test sets from the benchm
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  We're in the process of assessing its performance on additional datasets.
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  -->
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- ## Citation
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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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  ```bibtex
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  @article{
 
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  In contrast, Jellyfish-13B-Reasoning distills knowledge from GPT-4. It fine-tuned with data containing reasons and chain-of-thought responses for solving data preprocessing tasks
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  generated by GPT-4.
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+ **Jellyfish paper will be coming soon!**
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  - **Developed by:** Haochen Zhang, Yuyang Dong, Chuan Xiao, Masafumi Oyamada
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  - **Contact: [email protected]**
 
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  We're in the process of assessing its performance on additional datasets.
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  -->
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+ <!--## Citation
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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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  ```bibtex
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  @article{