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Although this project aims to better align current LMs with social norms, inappropriate content and inherent biases in the training data will still impair the alignment of the model.
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The model should not be used directly in any application, without a prior assessment of safety and fairness concerns specific to the application.
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Although this project aims to better align current LMs with social norms, inappropriate content and inherent biases in the training data will still impair the alignment of the model.
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The model should not be used directly in any application, without a prior assessment of safety and fairness concerns specific to the application.
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# Citation
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Please cite our paper if you use the data or code in this repo:
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```bibtex
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@misc{liu2023sociallyaligned,
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title={Training Socially Aligned Language Models in Simulated Human Society},
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author={Ruibo Liu and Ruixin Yang and Chenyan Jia and Ge Zhang and Denny Zhou and Andrew M. Dai and Diyi Yang and Soroush Vosoughi},
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year={2023},
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eprint={2305.16960},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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