KG-UQ: Knowledge Graph-Based Uncertainty Quantification for Long Text in Large Language Models.
Yingqing Yuan|Linwei Tao|Haohui Lu|Matloob Khushi|Imran Razzak|Mark Dras|Jian Yang|Usman Naseem
| Anthology ID: | DBLP:conf/www/YuanTLKRDYN25 |
|---|---|
| Volume: | Companion 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: | 2071-2077 |
| URL: | https://doi.org/10.1145/3701716.3717660 |
| DOI: | https://doi.org/10.1145/3701716.3717660 |
| DBLP: | conf/www/YuanTLKRDYN25 |
| BibTeX: |
@inproceedings{yuan-2025-kguq,
author = {Yingqing Yuan and
Linwei Tao and
Haohui Lu and
Matloob Khushi and
Imran Razzak and
Mark Dras and
Jian Yang and
Usman Naseem},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{KG-UQ: Knowledge Graph-Based Uncertainty Quantification for Long Text in Large Language Models}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {2071--2077},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3717660},
doi = {https://doi.org/10.1145/3701716.3717660}
}