6 papers
CADBench: A Multimodal Benchmark for AI-Assisted CAD Program Generation
Anna C. Doris, Jacob Thomas Sony, Ghadi Nehme +3
Recovering editable CAD programs from images or 3D observations is central to AI-assisted design, but progress is difficult to measure because existing evaluations are fragmented a…
Intrinsic Selection and Particle Resampling for Inference-Time Scaling Beyond Domain Verifiability
Giorgio Giannone, Mustafa Eyceoz, Shabana Baig +5
Inference-Time Scaling (ITS) has largely succeeded in verifiable domains like math and coding, where cheap verification enables scalable output selection. However, extending ITS to…
MCERF: Advancing Multimodal LLM Evaluation of Engineering Documentation with Enhanced Retrieval
Kiarash Naghavi Khanghah, Hoang Anh Nguyen, Anna C. Doris +4
Engineering rulebooks and technical standards contain multimodal information like dense text, tables, and illustrations that are challenging for retrieval augmented generation (RAG…
GIFT: Bootstrapping Image-to-CAD Program Synthesis via Geometric Feedback
Giorgio Giannone, Anna Clare Doris, Amin Heyrani Nobari +3
Generating executable CAD programs from images requires alignment between visual geometry and symbolic program representations, a capability that current methods fail to learn reli…
CAD-Coder: An Open-Source Vision-Language Model for Computer-Aided Design Code Generation
Anna C. Doris, Md Ferdous Alam, Amin Heyrani Nobari +1
Efficient creation of accurate and editable 3D CAD models is critical in engineering design, significantly impacting cost and time-to-market in product innovation. Current manual w…
From Concept to Manufacturing: Evaluating Vision-Language Models for Engineering Design
Cyril Picard, Kristen M. Edwards, Anna C. Doris +4
Engineering design is undergoing a transformative shift with the advent of AI, marking a new era in how we approach product, system, and service planning. Large language models hav…