SOURCE-LINKED INTELLIGENCE
AstroSpecLM: A Spectrum-Language Model for Evidence-Grounded Astronomical Spectral Analysis
Astronomical spectra encode rich physical information, but drawing scientific conclusions from spectral features typically requires expert interpretation. This paper presents AstroSpecLM, a spectrum-language model that connects one-dimensional DESI spectra with Qwen3-4B to answer questions and provide explanations grounded in spectral evidence. Instead of generating question-answer pairs directly from templates or raw catalog fields, we first distill each spectrum into a compact set of catalog- and spectrum-derived facts, then use these facts as references to generate instruction-following con
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-07T06:44:01.000Z
First collected: 2026-09-20T20:52:10.320Z. This is not the publication date.