3 papers
cs.LG2026
BehaviorFormer: Discovering Behavioral Patterns via Clusterable Next-Token Prediction
Tobias Schneider, Danial Fahrner, Soren Antebi +4
Discovering behavioral patterns in open-ended games is challenging due to the lack of clear objectives or ground-truth annotations. In this work, we extend a next-token prediction…
cs.CV2026
Hybrid Deep Learning for Traceability and Classification of Industrial Slate Tiles
Soren Antebi, Stefan Eickeler, Sandra Halscheidt +4
Applying deep learning to instance-aware reidentification of slate tiles and extraction site classification can improve production efficiency and quality control in the slate tile…
cs.CL2026
Domain-Adaptation through Synthetic Data: Fine-Tuning Large Language Models for German Law
Ali Hamza Bashir, Muhammad Rehan Khalid, Kostadin Cvejoski +7
Large language models (LLMs) often struggle in specialized domains such as legal reasoning due to limited expert knowledge, resulting in factually incorrect outputs or hallucinatio…