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@@ -214,10 +214,10 @@ In creating an open model, we have carefully considered the following:
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  * **Data Collection and Release:**
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  We compile datasets from a wide range of platforms. To ensure proper credit assignment, we refer users to the original publications in our paper. We create the cross-platform detoxification corpus for academic research purposes. We intend to share the corpus in the future. We would also like to mention that some content are generated using GPT-4 for illustration purposes.
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  * **Potential Misuse and Bias:**
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- GreenLLaMA can potentially be misused to generate toxic and biased content. For these reasons, we recommend that DetoxLLM not be used in applications without careful prior consideration of potential misuse and bias.
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  ## Citation
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- If you use GreenLLaMA for your scientific publication, or if you find the resources in this repository useful, please cite our paper as follows:
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  ```
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  @inproceedings{Khondaker2024DetoxLLM,
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  title={DetoxLLM: A Framework for Detoxification with Explanations},
 
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  * **Data Collection and Release:**
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  We compile datasets from a wide range of platforms. To ensure proper credit assignment, we refer users to the original publications in our paper. We create the cross-platform detoxification corpus for academic research purposes. We intend to share the corpus in the future. We would also like to mention that some content are generated using GPT-4 for illustration purposes.
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  * **Potential Misuse and Bias:**
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+ DetoxLLM can potentially be misused to generate toxic and biased content. For these reasons, we recommend that DetoxLLM not be used in applications without careful prior consideration of potential misuse and bias.
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  ## Citation
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+ If you use DetoxLLM for your scientific publication, or if you find the resources in this repository useful, please cite our paper as follows:
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  ```
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  @inproceedings{Khondaker2024DetoxLLM,
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  title={DetoxLLM: A Framework for Detoxification with Explanations},