Towards Trustworthy AI: Enhancing Factuality, Bias, and Compliance in LLMs.
| Anthology ID: | DBLP:conf/cikm/Amatya25 |
|---|---|
| Volume: | Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025 |
| Year: | 2025 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 6781-6784 |
| URL: | https://doi.org/10.1145/3746252.3761664 |
| DOI: | https://doi.org/10.1145/3746252.3761664 |
| DBLP: | conf/cikm/Amatya25 |
| BibTeX: |
@inproceedings{amatya-2025-towards,
author = {Pratuat Amatya},
editor = {Meeyoung Cha and
Carl Yang and
Chanyoung Park and
Senjuti Basu Roy and
Noseong Park and
Zhenhui Jessie Li and
Carl Yang and
Senjuti Basu Roy and
Zhenhui Jessie Li and
Jaap Kamps and
Kijung Shin and
Bryan Hooi and
Lifang He},
title = {{Towards Trustworthy AI: Enhancing Factuality, Bias, and Compliance in LLMs}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {6781--6784},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761664},
doi = {https://doi.org/10.1145/3746252.3761664}
}