OntoTune: Ontology-Driven Self-training for Aligning Large Language Models.
Zhiqiang Liu|Chengtao Gan|Junjie Wang|Yichi Zhang|Zhongpu Bo|Mengshu Sun|Huajun Chen|Wen Zhang
| Anthology ID: | DBLP:conf/www/LiuGWZBSC025 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 119-133 |
| URL: | https://doi.org/10.1145/3696410.3714816 |
| DOI: | https://doi.org/10.1145/3696410.3714816 |
| DBLP: | conf/www/LiuGWZBSC025 |
| BibTeX: |
@inproceedings{liu-2025-ontotune,
author = {Zhiqiang Liu and
Chengtao Gan and
Junjie Wang and
Yichi Zhang and
Zhongpu Bo and
Mengshu Sun and
Huajun Chen and
Wen Zhang},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{OntoTune: Ontology-Driven Self-training for Aligning Large Language Models}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {119--133},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714816},
doi = {https://doi.org/10.1145/3696410.3714816}
}