Daniele Grandi

21 papers A* 1Journal 19Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components.
CoRR
Fatemeh Elhambakhsh, Daniele Grandi, Hyunwoong Ko
2025 J jnl
DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Do cumentation.
J. Comput. Inf. Sci. Eng.
Anna C. Doris, Daniele Grandi, Ryan Tomich, Md Ferdous Alam, Mohammadmehdi Ataei, Hyunmin Cheong, Faez Ahmed
2025 J jnl
Do Large Language Models Produce Diverse Design Concepts? A Comparative Study with Human-Crowdsourced Solutions.
J. Comput. Inf. Sci. Eng.
Kevin Ma, Daniele Grandi, Christopher McComb, Kosa Goucher-Lambert
2025 J jnl
Elicitron: A Large Language Model Agent-Based Simulation Framework for Design Requirements Elicitation.
J. Comput. Inf. Sci. Eng.
Mohammadmehdi Ataei, Hyunmin Cheong, Daniele Grandi, Ye Wang, Nigel Morris, Alexander Tessier
2025 J jnl
Evaluating Large Language Models for Material Selection.
J. Comput. Inf. Sci. Eng.
Daniele Grandi, Yash Patawari Jain, Allin Irving Groom, Brandon Cramer, Christopher McComb
2025 J jnl
On the effectiveness of Large Language Models in the mechanical design domain.
CoRR
Daniele Grandi, Fabián Riquelme
2025 J jnl
RECALL-MM: A Multimodal Dataset of Consumer Product Recalls for Risk Analysis using Computational Methods and Large Language Models.
CoRR
Diana Bolanos, Mohammadmehdi Ataei, Daniele Grandi, Kosa Goucher-Lambert
2024 J jnl
DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation.
CoRR
Anna C. Doris, Daniele Grandi, Ryan Tomich, Md Ferdous Alam, Hyunmin Cheong, Faez Ahmed
2024 J jnl
Elicitron: An LLM Agent-Based Simulation Framework for Design Requirements Elicitation.
CoRR
Mohammadmehdi Ataei, Hyunmin Cheong, Daniele Grandi, Ye Wang, Nigel Morris, Alexander Tessier
2024 J jnl
Evaluating Large Language Models for Material Selection.
CoRR
Daniele Grandi, Yash Patawari Jain, Allin Irving Groom, Brandon Cramer, Christopher McComb
2024 J jnl
Exploring the Capabilities of Large Language Models for Generating Diverse Design Solutions.
CoRR
Kevin Ma, Daniele Grandi, Christopher McComb, Kosa Goucher-Lambert
2024 J jnl
HG-CAD: Hierarchical Graph Learning for Material Prediction and Recommendation in Computer-Aided Design.
J. Comput. Inf. Sci. Eng.
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
2024 J jnl
MSEval: A Dataset for Material Selection in Conceptual Design to Evaluate Algorithmic Models.
CoRR
Yash Patawari Jain, Daniele Grandi, Allin Irving Groom, Brandon Cramer, Christopher McComb
2024 J jnl
What's in a Name? Evaluating Assembly-Part Semantic Knowledge in Language Models Through User-Provided Names in Computer Aided Design Files.
J. Comput. Inf. Sci. Eng.
Peter Meltzer, Joseph G. Lambourne, Daniele Grandi
2023 J jnl
Conceptual Design Generation Using Large Language Models.
CoRR
Kevin Ma, Daniele Grandi, Christopher McComb, Kosa Goucher-Lambert
2023 J jnl
What's in a Name? Evaluating Assembly-Part Semantic Knowledge in Language Models through User-Provided Names in CAD Files.
CoRR
Peter Meltzer, Joseph G. Lambourne, Daniele Grandi
2022 — conf
A3D: Studying Pretrained Representations with Programmable Datasets.
CVPR Workshops
Ye Wang, Norman Mu, Daniele Grandi, Nicolas Savva, Jacob Steinhardt
2022 A* conf
JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints.
CVPR
Karl D. D. Willis, Pradeep Kumar Jayaraman, Hang Chu, Yunsheng Tian, Yifei Li, Daniele Grandi, Aditya Sanghi, Linh Tran, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik
2022 J jnl
Material Prediction for Design Automation Using Graph Representation Learning.
CoRR
Shijie Bian, Daniele Grandi, Kaveh Hassani, Elliot Sadler, Bodia Borijin, Axel Fernandes, Andrew Wang, Thomas Lu, Richard Otis, Nhut Ho, Bingbing Li
2021 J jnl
Classifying Component Function in Product Assemblies with Graph Neural Networks.
CoRR
Vincenzo Ferrero, Kaveh Hassani, Daniele Grandi, Bryony DuPont
2021 J jnl
JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints.
CoRR
Karl D. D. Willis, Pradeep Kumar Jayaraman, Hang Chu, Yunsheng Tian, Yifei Li, Daniele Grandi, Aditya Sanghi, Linh Tran, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik