MUSE: Benchmarking Assembly Structure and Interface Geometry in Multi-Component Text-to-CAD Generation

arXiv:2605.28579 · cs.AI · Submitted 2026-05-27 · Read on arXiv

cs.AI

Submitted: 2026-05-27

Updated: 2026-10-19

Terminology

• Benchmark — 4× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 4 episodes
• Evaluation Framework — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 8 episodes

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• Agents' Last Exam
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems