Papers with CAD tool-using agents

1 papers
TOOLCAD: Exploring Tool-Using Large Language Models in Text-to-CAD Generation with Reinforcement Learning (2026.findings-acl)

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Challenge: Large Language Models (LLMs) have shown remarkable advances in enabling language agents to tackle real-world tasks.
Approach: They propose a tool-using agent-based CAD framework that automates text-to-CAD modeling . they propose an interactive CAD gym to roll out reasoning and tool-augmented interaction trajectories with the CAD engine .
Outcome: The proposed framework can generalize across complex modeling tasks, supporting their open-source counterparts.

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