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} }