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With the rapid advancement of machine learning techniques, they can be effectively processed to extract astronomical patterns and information. In this study, we present a comprehensive evaluation of models based on deep learning and large language models (LLMs) for the automatic classification of variable star light curves, using large datasets from the Kepler and K2 missions. Special emphasis is placed on Cepheids, RR Lyrae, and eclipsing binaries, examining the influence of observational cadence and phase distribution on classification precision. Employing automated deep learning optimization, we achieve striking performance using 2 architectures: one that combines one-dimensional convolution (Conv1D) with bidirectional long short-term memory (BiLSTM) and another called the Swin Transformer. These achieved accuracies of 94% and 99%, respectively, with the latter demonstrating a notable\u00a083% accuracy in discerning the elusive type II Cepheids that comprise merely 0.02% of the total dataset. We unveil StarWhisper LightCurve (LC), a series of 3 LLM models based on an LLM, a multimodal large language model (MLLM), and a large audio language model (LALM). Each model is fine-tuned with strategic prompt engineering and customized training methods to explore the emergent abilities of these models for astronomical data. Remarkably, StarWhisper LC series models exhibit high accuracies of around 90%, considerably reducing the need for explicit feature engineering, thereby paving the way for streamlined parallel data processing and the progression of multifaceted multimodal models in astronomical applications. The study furnishes 2 detailed catalogs illustrating the impacts of phase and sampling intervals on deep learning classification accuracy, showing that a substantial decrease of up to 14% in observation duration and 21% in sampling points can be realized without compromising accuracy by more than 10%.<\/jats:p>","DOI":"10.34133\/icomputing.0110","type":"journal-article","created":{"date-parts":[[2025,1,14]],"date-time":"2025-01-14T17:52:53Z","timestamp":1736877173000},"update-policy":"https:\/\/doi.org\/10.34133\/aaas_crossmark_01","source":"Crossref","is-referenced-by-count":8,"title":["Deep Learning and Methods Based on Large Language Models Applied to Stellar Light Curve Classification"],"prefix":"10.34133","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-5525-2982","authenticated-orcid":false,"given":"Yu-Yang","family":"Li","sequence":"first","affiliation":[{"name":"Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences","place":["China"]},{"name":"College of Astronomy and Space Sciences, \rUniversity of Chinese Academy of Sciences, Beijing 100049, China."},{"name":"Institute for Frontiers in Astronomy and Astrophysics, \rBeijing Normal University, Beijing 102206, China."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Bai","sequence":"additional","affiliation":[{"name":"Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences","place":["China"]},{"name":"College of Astronomy and Space Sciences, \rUniversity of Chinese Academy of Sciences, Beijing 100049, China."},{"name":"Institute for Frontiers in Astronomy and Astrophysics, \rBeijing Normal University, Beijing 102206, China."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5941-3246","authenticated-orcid":true,"given":"Cunshi","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences","place":["China"]},{"name":"College of Astronomy and Space Sciences, \rUniversity of Chinese Academy of Sciences, Beijing 100049, China."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mengwei","family":"Qu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Isotope Geochemistry, Guangzhou Institute of Geochemistry, \rChinese Academy of Sciences, Guangzhou 510640, China."},{"name":"College of Earth and Planetary Sciences, \rUniversity of Chinese Academy of Sciences, Beijing 100049, China."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziteng","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Foreign Studies, Tongling University, Tongling, Anhui 244061, China."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roberto","family":"Soria","sequence":"additional","affiliation":[{"name":"College of Astronomy and Space Sciences, \rUniversity of Chinese Academy of Sciences, Beijing 100049, China."},{"name":"INAF\u2013Osservatorio Astrofisico di Torino, I-10025 Pino Torinese, Italy."},{"name":"Sydney Institute for Astronomy, School of Physics A28, \rThe University of Sydney, Sydney, NSW 2006, Australia."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jifeng","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences","place":["China"]},{"name":"College of Astronomy and Space Sciences, \rUniversity of Chinese Academy of Sciences, Beijing 100049, China."},{"name":"Institute for Frontiers in Astronomy and Astrophysics, \rBeijing Normal University, Beijing 102206, China."},{"name":"New Cornerstone Science Laboratory, National Astronomical Observatories, \rChinese Academy of Sciences, Beijing 100101, China."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"221","published-online":{"date-parts":[[2025,2,26]]},"reference":[{"key":"e_1_3_4_2_2","doi-asserted-by":"publisher","DOI":"10.1088\/0004-6256\/141\/3\/83"},{"key":"e_1_3_4_3_2","doi-asserted-by":"publisher","DOI":"10.1088\/0004-6256\/142\/5\/160"},{"key":"e_1_3_4_4_2","doi-asserted-by":"publisher","DOI":"10.1088\/0004-6256\/143\/5\/123"},{"key":"e_1_3_4_5_2","doi-asserted-by":"publisher","DOI":"10.1088\/0004-6256\/147\/2\/45"},{"key":"e_1_3_4_6_2","doi-asserted-by":"crossref","first-page":"914","DOI":"10.1086\/678953","article-title":"Kepler eclipsing binary stars. 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