{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,24]],"date-time":"2025-09-24T00:14:59Z","timestamp":1758672899655,"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 (LLMs) have recently shown promise in Time Series Forecasting (TSF) by effectively capturing intricate time-domain dependencies. However, our preliminary experiments reveal that standard LLM-based approaches often fail to capture global correlations, limiting predictive performance. We found that embedding frequency-domain signals smooths weight distributions and enhances structured correlations by clearly separating global trends (low-frequency components) from local variations (high-frequency components). Building on these insights, we propose FreqLLM, a novel framework that integrates frequency-domain semantic alignment into LLMs to refine prompts for improved time series analysis. By bridging the gap between frequency signals and textual embeddings, FreqLLM effectively captures multi-scale temporal patterns and provides more robust forecasting results. Extensive experiments on benchmark datasets demonstrate that FreqLLM outperforms state-of-the-art TSF methods in both accuracy and generalization. The code is available at https:\/\/github.com\/biya0105\/FreqLLM.<\/jats:p>","DOI":"10.24963\/ijcai.2025\/377","type":"proceedings-article","created":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T08:10:40Z","timestamp":1758269440000},"page":"3389-3397","source":"Crossref","is-referenced-by-count":0,"title":["FreqLLM: Frequency-Aware Large Language Models for Time Series Forecasting"],"prefix":"10.24963","author":[{"given":"Shunnan","family":"Wang","sequence":"first","affiliation":[{"name":"Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University), Ministry of Education"},{"name":"School of Big Data and Software Engineering, Chongqing University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min","family":"Gao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University), Ministry of Education"},{"name":"School of Big Data and Software Engineering, Chongqing University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zongwei","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University), Ministry of Education"},{"name":"School of Big Data and Software Engineering, Chongqing University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yibing","family":"Bai","sequence":"additional","affiliation":[{"name":"Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University), Ministry of Education"},{"name":"School of Big Data and Software Engineering, Chongqing University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feng","family":"Jiang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University), Ministry of Education"},{"name":"School of Big Data and Software Engineering, Chongqing University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guansong","family":"Pang","sequence":"additional","affiliation":[{"name":"School of Computing and Information Systems, Singapore Management University"}],"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":"2025-09-23T11:33:52Z","timestamp":1758627232000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2025\/377"}},"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\/377","relation":{},"subject":[],"published":{"date-parts":[[2025,9]]}}}