BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting.
Shiqiao Zhou|Holger Schöner|Huanbo Lyu|Edouard Fouché|Shuo Wang
| Anthology ID: | DBLP:conf/cikm/ZhouSLFW25 |
|---|---|
| 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: | 4498-4508 |
| URL: | https://doi.org/10.1145/3746252.3761278 |
| DOI: | https://doi.org/10.1145/3746252.3761278 |
| DBLP: | conf/cikm/ZhouSLFW25 |
| BibTeX: |
@inproceedings{zhou-2025-balmtsf,
author = {Shiqiao Zhou and
Holger Sch\"{o}ner and
Huanbo Lyu and
Edouard Fouch\'{e} and
Shuo Wang},
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 = {{BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {4498--4508},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761278},
doi = {https://doi.org/10.1145/3746252.3761278}
}