3 papers
cs.LG2026
ALINC: Active Learning for Inductive Node Classification via Graph Sampling
Pascal Plettenberg, Denis Huseljic, André Alcalde +2
Active learning (AL) for node classification typically focuses on selecting the most informative nodes for annotation within one or a few large graphs (e.g., in social network anal…
cs.CL2026
Parametric Knowledge in RAG-SFT for Domain-Specific Document Generation
Julian Oestreich, Maximilian Bley, Frank Binder +6
Retrieval-Augmented Generation (RAG) fine-tuning has shown substantial improvements over vanilla RAG, yet most studies target document question answering, leaving open whether thes…
cs.LG2025
Graph Neural Networks for Automatic Addition of Optimizing Components in Printed Circuit Board Schematics
Pascal Plettenberg, André Alcalde, Bernhard Sick +1
The design and optimization of Printed Circuit Board (PCB) schematics is crucial for the development of high-quality electronic devices. Thereby, an important task is to optimize d…