One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment.
Hongru Cai|Yongqi Li|Tiezheng Yu|Fengbin Zhu|Wenjie Wang|Fuli Feng|Wenjie Li
| Anthology ID: | DBLP:conf/sigir/CaiLYZWFL26 |
|---|---|
| Volume: | Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026 |
| Year: | 2026 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 110-121 |
| URL: | https://doi.org/10.1145/3805712.3809689 |
| DOI: | https://doi.org/10.1145/3805712.3809689 |
| DBLP: | conf/sigir/CaiLYZWFL26 |
| BibTeX: |
@inproceedings{cai-2026-one,
author = {Hongru Cai and
Yongqi Li and
Tiezheng Yu and
Fengbin Zhu and
Wenjie Wang and
Fuli Feng and
Wenjie Li},
editor = {Hannah Bast and
Alistair Moffat and
Falk Scholer and
Marc Najork and
Min Zhang and
Hannah Bast and
Marc Najork and
Min Zhang},
title = {{One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment}},
booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}},
pages = {110--121},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805712.3809689},
doi = {https://doi.org/10.1145/3805712.3809689}
}