LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters.
Ching Chang|Wei-Yao Wang|Wen-Chih Peng|Tien-Fu Chen
| Anthology ID: | DBLP:journals/tist/ChangWPC25 |
|---|---|
| Year: | 2025 |
| Venue: | ACM Transactions on Intelligent Systems and Technology (TIST) |
| Pages: | 60:1-60:20 |
| URL: | https://doi.org/10.1145/3719207 |
| DOI: | https://doi.org/10.1145/3719207 |
| DBLP: | journals/tist/ChangWPC25 |
| BibTeX: |
@article{chang-2025-llm4ts,
author = {Ching Chang and
Wei-Yao Wang and
Wen-Chih Peng and
Tien-Fu Chen},
title = {{LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters}},
journal = {ACM Transactions on Intelligent Systems and Technology (TIST)},
volume = {16},
number = {3},
pages = {60:1--60:20},
year = {2025},
url = {https://doi.org/10.1145/3719207},
doi = {https://doi.org/10.1145/3719207}
}