A hybrid agentic architecture integrates knowledge-based physical verification tools into LLM-driven CAD design loops, producing more complex and functionally valid designs than prior agentic baselines.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence , articleno =
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GuideCAD generates 3D CAD models from text-image pairs via prefix embeddings in a pretrained LLM using a mapping network, achieving comparable quality with roughly 4x fewer parameters and 2x training efficiency than fine-tuning.
citing papers explorer
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Physics-in-the-Loop: A Hybrid Agentic Architecture for Validated CAD Engineering Design
A hybrid agentic architecture integrates knowledge-based physical verification tools into LLM-driven CAD design loops, producing more complex and functionally valid designs than prior agentic baselines.
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GuideCAD: A Lightweight Multimodal Framework for 3D CAD Model Generation via Prefix Embedding
GuideCAD generates 3D CAD models from text-image pairs via prefix embeddings in a pretrained LLM using a mapping network, achieving comparable quality with roughly 4x fewer parameters and 2x training efficiency than fine-tuning.