Classifying Component Function in Product Assemblies with Graph Neural Networks. - Vincenzo Ferrero; Kaveh Hassani; Daniele Grandi; Bryony DuPont (CoRR, 2021)

A3D: Studying Pretrained Representations with Programmable Datasets. - Ye Wang; Norman Mu; Daniele Grandi; Nicolas Savva; Jacob Steinhardt (CVPR Workshops, 2022)

JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints. - Karl D. D. Willis; Pradeep Kumar Jayaraman; Hang Chu; Yunsheng Tian; Yifei Li 002; Daniele Grandi; Aditya Sanghi; Linh Tran; Joseph G. Lambourne; Armando Solar-Lezama; Wojciech Matusik (CVPR, 2022)

Material Prediction for Design Automation Using Graph Representation Learning. - Shijie Bian; Daniele Grandi; Kaveh Hassani; Elliot Sadler; Bodia Borijin; Axel Fernandes; Andrew Wang; Thomas Lu; Richard Otis; Nhut Ho; Bingbing Li (CoRR, 2022)

What's in a Name? Evaluating Assembly-Part Semantic Knowledge in Language Models through User-Provided Names in CAD Files. - Peter Meltzer; Joseph G. Lambourne; Daniele Grandi (CoRR, 2023)

Conceptual Design Generation Using Large Language Models. - Kevin Ma; Daniele Grandi; Christopher McComb; Kosa Goucher-Lambert (CoRR, 2023)

DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation. - Anna C. Doris; Daniele Grandi; Ryan Tomich; Md Ferdous Alam; Hyunmin Cheong; Faez Ahmed (CoRR, 2024)

Elicitron: An LLM Agent-Based Simulation Framework for Design Requirements Elicitation. - Mohammadmehdi Ataei; Hyunmin Cheong; Daniele Grandi; Ye Wang; Nigel Morris; Alexander Tessier (CoRR, 2024)

Exploring the Capabilities of Large Language Models for Generating Diverse Design Solutions. - Kevin Ma; Daniele Grandi; Christopher McComb; Kosa Goucher-Lambert (CoRR, 2024)

MSEval: A Dataset for Material Selection in Conceptual Design to Evaluate Algorithmic Models. - Yash Patawari Jain; Daniele Grandi; Allin Groom; Brandon Cramer; Christopher McComb (CoRR, 2024)

HG-CAD: Hierarchical Graph Learning for Material Prediction and Recommendation in Computer-Aided Design. - Shijie Bian; Daniele Grandi; Tianyang Liu; Pradeep Kumar Jayaraman; Karl D. D. Willis; Elliot Sadler; Bodia Borijin; Thomas Lu; Richard Otis; Nhut Ho; Bingbing Li (J. Comput. Inf. Sci. Eng., 2024)

What's in a Name? Evaluating Assembly-Part Semantic Knowledge in Language Models Through User-Provided Names in Computer Aided Design Files. - Peter Meltzer; Joseph G. Lambourne; Daniele Grandi (J. Comput. Inf. Sci. Eng., 2024)

Elicitron: A Large Language Model Agent-Based Simulation Framework for Design Requirements Elicitation. - Mohammadmehdi Ataei; Hyunmin Cheong; Daniele Grandi; Ye Wang; Nigel Morris; Alexander Tessier (J. Comput. Inf. Sci. Eng., 2025)

DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Do cumentation. - Anna C. Doris; Daniele Grandi; Ryan Tomich; Md Ferdous Alam; Mohammadmehdi Ataei; Hyunmin Cheong; Faez Ahmed (J. Comput. Inf. Sci. Eng., 2025)

Evaluating Large Language Models for Material Selection. - Daniele Grandi; Yash Patawari Jain; Allin Groom; Brandon Cramer; Christopher McComb (J. Comput. Inf. Sci. Eng., 2025)

Do Large Language Models Produce Diverse Design Concepts? A Comparative Study with Human-Crowdsourced Solutions. - Kevin Ma; Daniele Grandi; Christopher McComb; Kosa Goucher-Lambert (J. Comput. Inf. Sci. Eng., 2025)

RECALL-MM: A Multimodal Dataset of Consumer Product Recalls for Risk Analysis using Computational Methods and Large Language Models. - Diana Bolanos; Mohammadmehdi Ataei; Daniele Grandi; Kosa Goucher-Lambert (CoRR, 2025)

On the effectiveness of Large Language Models in the mechanical design domain. - Daniele Grandi; Fabián Riquelme (CoRR, 2025)

A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components. - Fatemeh Elhambakhsh; Daniele Grandi; Hyunwoong Ko (CoRR, 2025)