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RM-NLHF

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💡 Reward Modeling from Natural Language Human Feedback

RM-NLHF Paper on arXiv Github HF Model: RM-NLHF-7B HF Model: RM-NLHF-32B

This is the official dataset used in paper "Reward Modeling from Natural Language Human Feedback".

🔑 Key Features

  • RM-NLHF integrates multiple preference datasets.
  • We employ Qwen3-235B-A22B-2507 to extract key points from the human-annotated commentary portion of HelpSteer3 and reformat them into structured bullet-point lists.
  • In this repository, we are open-sourcing only the HelpSteer3 and Tulu-3-Pref-Personas-Instruction-Following portions of the data.

🧷 Citation 

@misc{wang2026rewardmodelingnaturallanguage,
  title={Reward Modeling from Natural Language Human Feedback}, 
  author={Zongqi Wang and Rui Wang and Yuchuan Wu and Yiyao Yu and Pinyi Zhang and Shaoning Sun and Yujiu Yang and Yongbin Li},
  year={2026},
  eprint={2601.07349},
  archivePrefix={arXiv},
  primaryClass={cs.CL},
  url={https://arxiv.org/abs/2601.07349}, 
}
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Collection including Tongyi-ConvAI/RM-NLHF

Paper for Tongyi-ConvAI/RM-NLHF