LLM-OFA: On-the-Fly Adaptation of Large Language Models to Address Temporal Drift Across Two Decades of News.
Pouya Ghahramanian|Sepehr Bakhshi|Fazli Can
| Anthology ID: | DBLP:conf/cikm/GhahramanianBC25 |
|---|---|
| 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: | 4728-4732 |
| URL: | https://doi.org/10.1145/3746252.3760846 |
| DOI: | https://doi.org/10.1145/3746252.3760846 |
| DBLP: | conf/cikm/GhahramanianBC25 |
| BibTeX: |
@inproceedings{ghahramanian-2025-llmofa,
author = {Pouya Ghahramanian and
Sepehr Bakhshi and
Fazli Can},
editor = {Meeyoung Cha and
Carl Yang and
Senjuti Basu Roy and
Chanyoung Park and
Zhenhui Jessie Li and
Noseong Park and
Carl Yang and
Senjuti Basu Roy and
Zhenhui Jessie Li and
Jaap Kamps and
Kijung Shin and
Bryan Hooi and
Lifang He},
title = {{LLM-OFA: On-the-Fly Adaptation of Large Language Models to Address Temporal Drift Across Two Decades of News}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {4728--4732},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3760846},
doi = {https://doi.org/10.1145/3746252.3760846}
}