{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,24]],"date-time":"2025-09-24T00:15:05Z","timestamp":1758672905270,"version":"3.44.0"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:p>Large language models have demonstrated remarkable generalization capabilities and strong performance across various fields. Recent research has highlighted their significant potential in time series forecasting. However, time series data often exhibit complex periodic characteristics, posing a substantial challenge in enabling these models to effectively capture latent patterns. To address this challenge, we propose a novel framework, LLM-TPF, which leverages individuality and commonality fusion to enhance time series forecasting. In the frequency domain, periodic features are extracted to reveal the intrinsic periodicity of the data, while textual prototypes are used to indicate temporal trends. In the time domain, carefully designed prompts are employed to guide the models in comprehending global information. A commonality fusion mechanism further aggregates heterogeneous information across dimensions, and three distinct language models are utilized to independently process different types of information. Extensive real-world experiments demonstrate that LLM-TPF is a powerful tool for time series forecasting, achieving superior performance compared to state-of-the-art specialized models and exhibiting exceptional generalization ability in zero-shot scenarios. Code is available at https:\/\/github.com\/switchsky\/LLM-TPF.<\/jats:p>","DOI":"10.24963\/ijcai.2025\/671","type":"proceedings-article","created":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T08:10:40Z","timestamp":1758269440000},"page":"6030-6038","source":"Crossref","is-referenced-by-count":0,"title":["LLM-TPF: Multiscale Temporal Periodicity-Semantic Fusion LLMs for Time Series Forecasting"],"prefix":"10.24963","author":[{"given":"Qihong","family":"Pan","sequence":"first","affiliation":[{"name":"Zhejiang University of Technology"},{"name":"Zhejiang Key Laboratory of Visual Information Intelligent Processing"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haofei","family":"Tan","sequence":"additional","affiliation":[{"name":"Zhejiang University of Technology"},{"name":"Zhejiang Key Laboratory of Visual Information Intelligent Processing"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guojiang","family":"Shen","sequence":"additional","affiliation":[{"name":"Zhejiang University of Technology"},{"name":"Zhejiang Key Laboratory of Visual Information Intelligent Processing"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangjie","family":"Kong","sequence":"additional","affiliation":[{"name":"Zhejiang University of Technology"},{"name":"Zhejiang Key Laboratory of Visual Information Intelligent Processing"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mengmeng","family":"Wang","sequence":"additional","affiliation":[{"name":"Zhejiang University of Technology"},{"name":"Zhejiang Key Laboratory of Visual Information Intelligent Processing"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenyang","family":"Xu","sequence":"additional","affiliation":[{"name":"Zhejiang University of Technology"},{"name":"Zhejiang Key Laboratory of Visual Information Intelligent Processing"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"number":"34","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2025","name":"Thirty-Fourth International Joint Conference on Artificial Intelligence {IJCAI-25}","start":{"date-parts":[[2025,8,16]]},"theme":"Artificial Intelligence","location":"Montreal, Canada","end":{"date-parts":[[2025,8,22]]}},"container-title":["Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T11:34:48Z","timestamp":1758627288000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2025\/671"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2025,9]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2025\/671","relation":{},"subject":[],"published":{"date-parts":[[2025,9]]}}}