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} }