@inproceedings{61b1a7f9170c4ec99ea776c773a10b74,
title = "TS-FourierLLM: Frozen Frequency-Domain Large Language Blocks for Enhancing Time-Series Modeling",
abstract = "Designing effective time-series models is challenging due to factors like complex temporal dependencies, low information density, and scalability constraints. To address these challenges, we propose TS-FourierLLM, a novel approach that integrates a frozen Large Language Models (LLMs) block as a plug-and-play frequency-domain enhancer for time-series modeling. By transferring high-level pre-trained LLM knowledge into the frequency domain, our method bridges the modality gap while avoiding fine-tuning, preserving computational efficiency. The frozen LLM block captures inter-frequency dependencies and enhances global feature representations, complementing time-series encoders. TSFourierLLM achieves up to a 3\% performance improvement over state-of-the-art methods on the benchmark. These results demonstrate the effectiveness of utilizing frozen LLMs as modular and task-agnostic components for advancing time-series modeling.",
keywords = "Frequency-Domain Learning, Large Language Models (LLMs), Time-Series Modeling, Transfer learning",
author = "Pengfei Wang and Huanran Zheng and Wenjing Yue and Xiaoling Wang",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.; 30th International Conference on Database Systems for Advanced Applications, DASFAA 2025 ; Conference date: 26-05-2025 Through 29-05-2025",
year = "2026",
doi = "10.1007/978-981-95-3830-0\_58",
language = "英语",
isbn = "9789819538294",
series = "Lecture Notes in Computer Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "757--766",
editor = "Feida Zhu and Ee-Peng Lim and Yu, \{Philip S.\} and Akiyo Nadamoto and Kyuseok Shim and Wei Ding and Bingxue Zhang",
booktitle = "Database Systems for Advanced Applications - 30th International Conference, DASFAA 2025, Proceedings",
address = "德国",
}