Enhancing Large Language Models for Time-Series Forecasting via Vector-Injected In-Context Learning.

Jianqi Zhang|Jingyao Wang|Wenwen Qiang|Fanjiang Xu|Changwen Zheng


Anthology ID:DBLP:conf/www/ZhangWQXZ26
Volume:Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026.
Year:2026
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:7211-7222
URL:https://doi.org/10.1145/3774904.3792374
DOI:https://doi.org/10.1145/3774904.3792374
DBLP:conf/www/ZhangWQXZ26
BibTeX:
@inproceedings{zhang-2026-enhancing, author = {Jianqi Zhang and Jingyao Wang and Wenwen Qiang and Fanjiang Xu and Changwen Zheng}, editor = {Hakim Hacid and Yoelle Maarek and Francesco Bonchi and Ido Guy and Emine Yilmaz}, title = {{Enhancing Large Language Models for Time-Series Forecasting via Vector-Injected In-Context Learning}}, booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}}, pages = {7211--7222}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3774904.3792374}, doi = {https://doi.org/10.1145/3774904.3792374} }