Preference-Strength-Aware Self-Improving Alignment with Generative Preference Models.
Yuanzhao Zhai|Zhuo Zhang|Cheng Yang|Kele Xu|Yue Yu|Wei Li|Hui Wang|Zenglin Xu|Dawei Feng|Bo Ding|Huaimin Wang
| Anthology ID: | DBLP:conf/sigir/Zhai00X0L0XFDW25 |
|---|---|
| Volume: | Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025 |
| Year: | 2025 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 191-200 |
| URL: | https://doi.org/10.1145/3726302.3730063 |
| DOI: | https://doi.org/10.1145/3726302.3730063 |
| DBLP: | conf/sigir/Zhai00X0L0XFDW25 |
| BibTeX: |
@inproceedings{zhai-2025-preferencestrengthaware,
author = {Yuanzhao Zhai and
Zhuo Zhang and
Cheng Yang and
Kele Xu and
Yue Yu and
Wei Li and
Hui Wang and
Zenglin Xu and
Dawei Feng and
Bo Ding and
Huaimin Wang},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{Preference-Strength-Aware Self-Improving Alignment with Generative Preference Models}},
booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}},
pages = {191--200},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730063},
doi = {https://doi.org/10.1145/3726302.3730063}
}