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Shanghai Jiao Tong University
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Current vision-language models falter in 3D assembly reasoning, struggling with accuracy and complexity in real-world industrial scenarios.
Re-ranking control alone boosts key performance metrics by over 2%, but extending this control to fine ranking yields even greater gains without compromising system stability.
Current LLMs fail to meet the rigorous demands of PCB routing, showing major weaknesses in path planning and constraint adherence.
AngelSpec achieves nearly double the inference speed of traditional methods while improving output quality by intelligently adapting to the specific demands of different tasks.
