arXiv: cs.AI preprintsInternational6 November 2026
Taurus: LLM-in-the-Loop CT Annotation Matches Coding Agents at Half the Cost
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arXiv:2611.00247v2 Announce Type: replace Abstract: Dense labels of the aorta in CT are slow to draw, and the public aortic CT datasets that could stand in for them each label different structures under their own conventions. Large language model (LLM) agents can now write code and read images. We asked whether such a model labels these scans better as a free-form agent that writes its own segmentation code, or inside a harness, where an automated pass labels the scan and the model reviews the result. We built a harness, Taurus, and compared it with free-form agents by blind label recovery: we
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