Text Generation
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@@ -192,7 +192,7 @@ Please cite the paper if you use the models or datasets from InverseCoder.
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  ## Acknowledgements
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- * [Magicoder](https://github.com/ise-uiuc/magicoder): Training code, original dataset and data decontamination
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  * [DeepSeek-Coder](https://github.com/deepseek-ai/DeepSeek-Coder): Base model for InverseCoder-DS
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  * [CodeLlama](https://ai.meta.com/research/publications/code-llama-open-foundation-models-for-code/): Base model for InverseCoder-CL
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- * [AutoMathText](https://github.com/yifanzhang-pro/AutoMathText): Self-evaluation and Data Selection method
 
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  ## Acknowledgements
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+ * [Magicoder](https://github.com/ise-uiuc/magicoder): Training code, original datasets and data decontamination
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  * [DeepSeek-Coder](https://github.com/deepseek-ai/DeepSeek-Coder): Base model for InverseCoder-DS
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  * [CodeLlama](https://ai.meta.com/research/publications/code-llama-open-foundation-models-for-code/): Base model for InverseCoder-CL
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+ * [AutoMathText](https://github.com/yifanzhang-pro/AutoMathText): Self-evaluation and data selection method