@inproceedings{wang-etal-2025-helpsteer3,
    title = "{H}elp{S}teer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks",
    author = "Wang, Zhilin  and
      Zeng, Jiaqi  and
      Delalleau, Olivier  and
      Egert, Daniel  and
      Evans, Ellie  and
      Shin, Hoo-Chang  and
      Soares, Felipe  and
      Dong, Yi  and
      Kuchaiev, Oleksii",
    editor = "Che, Wanxiang  and
      Nabende, Joyce  and
      Shutova, Ekaterina  and
      Pilehvar, Mohammad Taher",
    booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingestion-acl-25/2025.acl-long.1246/",
    pages = "25640--25662",
    ISBN = "979-8-89176-251-0"
}