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Leveraging large and small model collaboration for advanced automation in smart manufacturing
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DOI：10.1016/j.rcim.2026.103313.png)
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Abstract
En 中文
• Translates high-level human intent into executable plans via large and small model collaboration. • Enables dynamic plan self-correction by learning from historical experience via in-context learning. • A two-stage pipeline generates fully attributable reports that eliminate model hallucination.
Keywords:
large model collaboration
small model collaboration
smart manufacturing
dynamic plan self-correction
attributable reports
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