{"ID":2887502,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.01188","arxiv_id":"2508.01188","title":"SpectrumWorld: Artificial Intelligence Foundation for Spectroscopy","abstract":"Deep learning holds immense promise for spectroscopy, yet research and evaluation in this emerging field often lack standardized formulations. To address this issue, we introduce SpectrumLab, a pioneering unified platform designed to systematize and accelerate deep learning research in spectroscopy. SpectrumLab integrates three core components: a comprehensive Python library featuring essential data processing and evaluation tools, along with leaderboards; an innovative SpectrumAnnotator module that generates high-quality benchmarks from limited seed data; and SpectrumBench, a multi-layered benchmark suite covering 14 spectroscopic tasks and over 10 spectrum types, featuring spectra curated from over 1.2 million distinct chemical substances. Thorough empirical studies on SpectrumBench with 18 cutting-edge multimodal LLMs reveal critical limitations of current approaches. We hope SpectrumLab will serve as a crucial foundation for future advancements in deep learning-driven spectroscopy.","short_abstract":"Deep learning holds immense promise for spectroscopy, yet research and evaluation in this emerging field often lack standardized formulations. To address this issue, we introduce SpectrumLab, a pioneering unified platform designed to systematize and accelerate deep learning research in spectroscopy. SpectrumLab integra...","url_abs":"https://arxiv.org/abs/2508.01188","url_pdf":"https://arxiv.org/pdf/2508.01188v4","authors":"[\"Zhuo Yang\",\"Jiaqing Xie\",\"Shuaike Shen\",\"Daolang Wang\",\"Yeyun Chen\",\"Ben Gao\",\"Shuzhou Sun\",\"Biqing Qi\",\"Dongzhan Zhou\",\"Lei Bai\",\"Linjiang Chen\",\"Shufei Zhang\",\"Qinying Gu\",\"Jun Jiang\",\"Tianfan Fu\",\"Yuqiang Li\"]","published":"2025-08-02T04:21:07Z","proceeding":"cs.LG","tasks":"[\"cs.LG\",\"cs.AI\"]","methods":"[\"Large Language Model\"]","has_code":false}