SOURCE-LINKED INTELLIGENCE
Rethinking Domain Specialization for Open-Ended Scientific Reasoning in Astronomy Language Models
Domain-specialized language models are widely used for scientific question answering, but stronger general-purpose systems raise a sharper question: when does domain-specific fine-tuning remain valuable for open-ended scientific reasoning? We study this in astronomy with a curated QA benchmark from publicly available 2017--2026 Olympiad-style materials. The free-response subset contains 300 questions, including 204 text-only and 96 image-linked examples. We compare open-weight and API-served general-purpose, multimodal, and astronomy-specialized models using judge-based correctness and complem
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-15T15:05:09.000Z
First collected: 2026-09-20T08:40:59.508Z. This is not the publication date.