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Department of Physics & Astronomy, The Johns Hopkins University, Baltimore, MD 21218, USA, Department of Information Systems, Eötvös Loránd University, Budapest 1117, Hungary
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Simple MLPs pre-trained on low-resolution spectra can generalize surprisingly well to higher-resolution data for stellar parameter estimation, sometimes outperforming transformer-based embeddings.
