3 papers
cs.CE2026
Test-Time Scaling for CAD Generation via Verifier-Free Consensus Selection
Aaron Haag, Altay Kacan, Altay Kaçan +2
Large language models can write parametric CAD programs from a natural-language description (text-to-CAD generation), but a single sample is often wrong. Increasing test-time compu…
cs.CE2026
FeatureFox: Sample-Efficient Panoptic Graph Segmentation for Machining Feature Recognition in B-Rep 3D-CAD Models
Bertram Fuchs, Altay Kacan, Aaron Haag +1
Automatic feature recognition (AFR) on B-Rep 3D-CAD models is central to CAD/CAM automation, yet most learning-based methods are complex, data-hungry, and evaluate instance groupin…
cs.SE2024
Training LLMs for Generating IEC 61131-3 Structured Text with Online Feedback
Aaron Haag, Bertram Fuchs, Altay Kacan +1
IEC 61131-3 Structured Text (ST) is a widely used programming language for programmable logic controllers (PLCs) in automation systems. However, generating ST code with LLMs poses…