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@@ -4,6 +4,7 @@ datasets:
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  - newsmediabias/Bias-DeBiased
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  metrics:
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  - accuracy
 
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  ---
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  ### Model Card for MBIAS
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@@ -61,9 +62,17 @@ The model can be accessed and used for text generation through the HuggingFace p
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  #### Performance Metrics
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  Performance metrics are provided for both pre-safety and post-safety intervention phases. The model has shown excellent results in improving the retention of contextual accuracy while reducing bias and toxicity levels compared to other versions and configurations.
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- #### Citation
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- Please cite the work as follows:
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- Ananya Raval, Veronica Chatrath, and Shaina Raza. "MBIAS: Enhancing Safety in Language Models While Retaining Contextual Accuracy."
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- #### Additional Notes
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- The dataset and the instruction fine-tuned model are publicly available for the research community to facilitate further studies and enhancements in the area of safe and unbiased language modeling.
 
 
 
 
 
 
 
 
 
 
 
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  - newsmediabias/Bias-DeBiased
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  metrics:
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  - accuracy
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+ pipeline_tag: text-generation
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  ---
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  ### Model Card for MBIAS
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  #### Performance Metrics
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  Performance metrics are provided for both pre-safety and post-safety intervention phases. The model has shown excellent results in improving the retention of contextual accuracy while reducing bias and toxicity levels compared to other versions and configurations.
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+ ## Citation
 
 
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+ If you use this work, please cite it as follows:
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+
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+ ```bibtex
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+ @article{raza2024mbias,
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+ title={MBIAS: Mitigating Bias in Large Language Models While Retaining Context},
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+ author={Shaina Raza and Ananya Raval and Veronica Chatrath},
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+ year={2024},
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+ eprint={2405.11290},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
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+ }
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+ ```