André Schamschurko
Scholar

André Schamschurko

Google Scholar ID: huSZRvIAAAAJ
Research assistant, Technical University of Munich
Large Language ModelsNatural Language Processing
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
17
 
H-index
2
 
i10-index
1
 
Publications
6
 
Co-authors
0
 
Contact
Emailandre.schamschurko@tum.deCVOpen ↗
Publications
3 items
CCTVBench: Contrastive Consistency Traffic VideoQA Benchmark for Multimodal LLMs
2026
Cited
0
From Code to Road: A Vehicle-in-the-Loop and Digital Twin-Based Framework for Central Car Server Testing in Autonomous Driving
2026
Cited
0
Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations
2025
Cited
0
Resume
Academic Achievements
  • Contributed to the research 'LLM-Driven Testing for Autonomous Driving Scenarios' published at the 2024 2nd International Conference on Foundation and Large Language Models (FLLM).
Research Experience
  • Joined the Chair of Robotics, Artificial Intelligence, and Real-time Systems as a research assistant in July 2024.
Education
  • Holds a diploma in Computer Science from TU Dresden.
Background
  • Research interests include Natural Language Processing and Symbolic AI.