Cover Image

CAD-Prompted Generative Models: A Pathway to Feasible and Novel Engineering Designs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chong, Leah, Rayan, Jude, Dow, Steven, Lykourentzou, Ioanna, Ahmed, Faez
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence I.2.1
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Prompting for products: Investigating design space exploration strategies for text-to-image generative models
by: Chong, Leah, et al.
Published: (2024)

Agent-Aided Design for Dynamic CAD Models
by: Adler, Mitch, et al.
Published: (2026)

A Prompt Engineering Approach and a Knowledge Graph based Framework for Tackling Legal Implications of Large Language Model Answers
by: Hannah, George, et al.
Published: (2024)

From Feasible to Practical: Pareto-Optimal Synthesis Planning
by: Hastedt, Friedrich, et al.
Published: (2026)

From Idea to CAD: A Language Model-Driven Multi-Agent System for Collaborative Design
by: Ocker, Felix, et al.
Published: (2025)

Reinforcement of Explainability of ChatGPT Prompts by Embedding Breast Cancer Self-Screening Rules into AI Responses
by: Khan, Yousef, et al.
Published: (2024)

Moonshine: Distilling Game Content Generators into Steerable Generative Models
by: Nie, Yuhe, et al.
Published: (2024)

Mitigating Trojanized Prompt Chains in Educational LLM Use Cases: Experimental Findings and Detection Tool Design
by: Charles, Richard M., et al.
Published: (2025)

AI Playing Business Games: Benchmarking Large Language Models on Managerial Decision-Making in Dynamic Simulations
by: Ovezmyradov, Berdymyrat
Published: (2025)

LegalCheck: Retrieval- and Context-Augmented Generation for Drafting Municipal Legal Advice Letters
by: van der Meer, Virgill, et al.
Published: (2026)

CEDAR: Context Engineering for Agentic Data Science
by: Roy, Rishiraj Saha, et al.
Published: (2026)

Generative Modeling in Protein Design: Neural Representations, Conditional Generation, and Evaluation Standards
by: Wanasekara, Senura Hansaja, et al.
Published: (2026)

Smart Recommendations for Renting Bikes in Bike Sharing Systems
by: Billhardt, Holger, et al.
Published: (2024)

Automated legal reasoning with discretion to act using s(LAW)
by: Arias, Joaquín, et al.
Published: (2024)

Taxi dispatching strategies with compensations
by: Billhardt, Holger, et al.
Published: (2024)

Bonsai: A Framework for Convolutional Neural Network Acceleration Using Criterion-Based Pruning
by: Bingham, Joseph, et al.
Published: (2026)

Streamlining Advanced Taxi Assignment Strategies based on Legal Analysis
by: Billhardt, Holger, et al.
Published: (2024)

Benchmarking AI for low-resource contexts: Thinking beyond leaderboards
by: Pant, Aakash, et al.
Published: (2026)

RELRaE: LLM-Based Relationship Extraction, Labelling, Refinement, and Evaluation
by: Hannah, George, et al.
Published: (2025)

Can Semantic Methods Enhance Team Sports Tactics? A Methodology for Football with Broader Applications
by: Di Rubbo, Alessio, et al.
Published: (2026)

Collaborative AI Enhances Image Understanding in Materials Science
by: Yin, Ruoyan Avery, et al.
Published: (2025)

Introducing Brain-like Concepts to Embodied Hand-crafted Dialog Management System
by: Joublin, Frank, et al.
Published: (2024)

Open-TI: Open Traffic Intelligence with Augmented Language Model
by: Da, Longchao, et al.
Published: (2023)

It's not the Language Model, it's the Tool: Deterministic Mediation for Scientific Workflows
by: Adamidis, Marios, et al.
Published: (2026)

OmniAcc: Personalized Accessibility Assistant Using Generative AI
by: Karki, Siddhant, et al.
Published: (2025)

LEAP: Trajectory-Level Evaluation of LLMs in Iterative Scientific Design
by: Zhang, Marilyn, et al.
Published: (2026)

Design Process of a Self Adaptive Smart Serious Games Ecosystem
by: Tao, X., et al.
Published: (2025)

Design Structure Matrix Modularization with Large Language Models
by: Jiang, Shuo, et al.
Published: (2026)

The Impact of Generative Artificial Intelligence on Ideation and the performance of Innovation Teams (Preprint)
by: Gindert, Michael, et al.
Published: (2024)

Large Language Models for Combinatorial Optimization of Design Structure Matrix
by: Jiang, Shuo, et al.
Published: (2025)

Designing Multi-Step Action Models for Enterprise AI Adoption
by: Mishra, Shreyash, et al.
Published: (2024)

Social and Ethical Risks Posed by General-Purpose LLMs for Settling Newcomers in Canada
by: Nejadgholi, Isar, et al.
Published: (2024)

Model Fusion via Retrofitting
by: Luenam, Phoomraphee, et al.
Published: (2025)

Nemobot Games: Crafting Strategic AI Gaming Agents for Interactive Learning with Large Language Models
by: Tan, Chee Wei, et al.
Published: (2026)

Contrastive Domain Generalization for Cross-Instrument Molecular Identification in Mass Spectrometry
by: Yoo, Seunghyun, et al.
Published: (2026)

4OPS: Structural Difficulty Modeling in Integer Arithmetic Puzzles
by: Zeytuncu, Yunus E.
Published: (2026)

Scaling In, Not Up? Testing Thick Citation Context Analysis with GPT-5 and Fragile Prompts
by: Simons, Arno
Published: (2026)

Conditional Generative Framework with Peak-Aware Attention for Robust Chemical Detection under Interferences
by: Yoon, Namkyung, et al.
Published: (2026)

Generalization Beyond Benchmarks: Evaluating Learnable Protein-Ligand Scoring Functions on Unseen Targets
by: Kopko, Jakub, et al.
Published: (2025)

AutoTRIZ: Automating Engineering Innovation with TRIZ and Large Language Models
by: Jiang, Shuo, et al.
Published: (2024)