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Mirror notice (roadrage10, 2026-10-15): this repository is an unmodified copy of Salesforce/WQRM, kept for humanizer research and reproducibility. Licence: mit, as upstream; the upstream authors hold all rights. Access is gated with manual approval: request access and say what you will use it for.

Please follow this to know how to do inference https://github.com/salesforce/creativity_eval/blob/main/WritingRewards/WQRM_inference.py

Our models are trained on shorter text. If you want to use WQRM for longer text , run at paragraph level and average

Ethical Considerations

This release is for research purposes only in support of an academic paper. Our models, datasets, and code are not specifically designed or evaluated for all downstream purposes. We strongly recommend users evaluate and address potential concerns related to accuracy, safety, and fairness before deploying this model. We encourage users to consider the common limitations of AI, comply with applicable laws, and leverage best practices when selecting use cases, particularly for high-risk scenarios where errors or misuse could significantly impact people’s lives, rights, or safety. For further guidance on use cases, refer to our AUP and AI AUP.

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