5 papers
EngiAI: Capability-Based Evaluation of Tool-Connected LLM Agents for Engineering Design
Gioele Molinari, Florian Felten, Soheyl Massoudi +1
Engineering-agent systems are proliferating, but differences in tasks, tools, and success criteria make demonstrations difficult to compare and failures difficult to diagnose. We i…
Beyond Inference-Time Search: Reinforcement Learning Synthesizes Reusable Solvers
Soheyl Massoudi, Gabriel Apaza, Milad Habibi +1
Large language models (LLMs) typically approach combinatorial optimization as an inference-time procedure, solving each instance separately through sampling, search, or repeated pr…
GLUE: Coordinating Pre-Trained Generative Models for System-Level Design
Tim Aebersold, Soheyl Massoudi, Mark D. Fuge
Engineering complex systems (aircraft, buildings, vehicles) requires coordinating geometric and performance couplings across subsystems. As generative models proliferate for specia…
Agentic Large Language Models for Conceptual Systems Engineering and Design
Soheyl Massoudi, Mark Fuge
Early-stage engineering design involves complex, iterative reasoning, yet existing large language model (LLM) workflows struggle to maintain task continuity and generate executable…
EngiBench: A Framework for Data-Driven Engineering Design Research
Florian Felten, Gabriel Apaza, Gerhard Bräunlich +9
Engineering design optimization seeks to automatically determine the shapes, topologies, or parameters of components that maximize performance under given conditions. This process…