1 citations · 1 across the 4 of their papers we have counts for
4 papers
Test-Time Scaling for CAD Generation via Verifier-Free Consensus Selection
Aaron Haag, Altay Kacan, Bertram Fuchs +1
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…
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…
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…
Joint Embeddings for Graph Instruction Tuning
Aaron Haag, Vlad Argatu, Oliver Lohse
Large Language Models (LLMs) have achieved impressive performance in text understanding and have become an essential tool for building smart assistants. Originally focusing on text…