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A systematic evaluation of vision-language models for observational astronomical reasoning tasks
AstroVLBench evaluates VLMs across five astronomical modalities, finding accuracy depends on physical grounding and raw numerical data improves results, yet all models lag behind domain-specialized methods.
Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 4/5