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 "id": "nvidia/HelpSteer3",
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 "name": "HelpSteer3",
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 "last_modified": "2025-11-16T07:18:00.000Z",
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 "citation": "@misc{wang2025helpsteer3preferenceopenhumanannotatedpreference,\n      title={HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages}, \n      author={Zhilin Wang and Jiaqi Zeng and Olivier Delalleau and Hoo-Chang Shin and Felipe Soares and Alexander Bukharin and Ellie Evans and Yi Dong and Oleksii Kuchaiev},\n      year={2025},\n      eprint={2505.11475},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL},\n      url={https://arxiv.org/abs/2505.11475}, \n}\n\n@misc{wang2025helpsteer3humanannotatedfeedbackedit,\n      title={HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks}, \n      author={Zhilin Wang and Jiaqi Zeng and Olivier Delalleau and Daniel Egert and Ellie Evans and Hoo-Chang Shin and Felipe Soares and Yi Dong and Oleksii Kuchaiev},\n      year={2025},\n      eprint={2503.04378},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL},\n      url={https://arxiv.org/abs/2503.04378}, \n}\n\n@misc{wang2025rlbffbinaryflexiblefeedback,\n      title={RLBFF: Binary Flexible Feedback to bridge between Human Feedback & Verifiable Rewards}, \n      author={Zhilin Wang and Jiaqi Zeng and Olivier Delalleau and Ellie Evans and Daniel Egert and Hoo-Chang Shin and Felipe Soares and Yi Dong and Oleksii Kuchaiev},\n      year={2025},\n      eprint={2509.21319},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL},\n      url={https://arxiv.org/abs/2509.21319}, \n}",
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}