Aaron Steiner
Researcher
B6, 26, Room C 1.04
68159 Mannheim, Germany
E-Mail: aaron.steineruni-mannheim.de
Phone: +49 (0) 621 / 181-2566
Research Interests
- End-to-end data integration with LLMs across schema matching, value normalization, entity matching, and data fusion
- Large language models for entity matching — prompting, fine-tuning, and label-efficient training
- Web agents and their evaluation, including benchmark design for multi-shop and multi-step reasoning tasks
- Agent–environment interfaces — how the choice of interface (MCP, RAG, structured web, raw HTML) shapes agent autonomy and effectiveness
Teaching
- Large Language Models and Agents (FSS2026) – Course Details
- Data Mining (FSS2026) – Course Details
- Seminar CS715: Solving Complex Tasks using Large Language Models (FSS2026) – Course Details
- Web Data Integration (HWS2025) – Course Details
- Team project: LLM-Agents in Data Integration Pipelines (HWS2025) - Course Details
- Large Language Models and Agents (FSS2025) – Course Details
- Data Mining (FSS2025) – Course Details
- Seminar CS715: Solving Complex Tasks using Large Language Models (FSS2025) – Course Details
Software and Benchmarks
- PyDI – Open-source Python framework for end-to-end data integration. Combines traditional string-based methods with embedding- and LLM-based techniques across schema matching, value normalization, entity matching, and data fusion.
- WebMall – Multi-shop benchmark for evaluating web agents. 91 tasks across four simulated e-shops with over 4,000 heterogeneous product offers, covering comparison-shopping workflows from product search through checkout.
Publications
- Steiner, A., Peeters, R. and Bizer, C. (2026). MCP vs RAG vs NLWeb vs HTML: a comparison of the effectiveness and efficiency of different agent interfaces to the web. In , WWW '26 : Proceedings of the ACM Web Conference 2026 (S. 8493-8496). , Association for Computing Machinery: New York, NY, USA.
- Peeters, R., Steiner, A. and Bizer, C. (2025). Entity matching using large language models. In , Proceedings 28th International Conference on Extending Database Technology (EDBT 2025), Barcelona, Spain, March 25-March 28 (S. 529–541). OpenProceedings, OpenProceedings.org: Konstanz.
- Steiner, A., Peeters, R. and Bizer, C. (2025). Fine-tuning large language models for entity matching. In , 2025 IEEE 41st International Conference on Data Engineering Workshops : proceedings, 19–23 May 2025 Hong Kong SAR, China (S. 9–17). , IEEE Computer Society: Los Alamitos, CA [u. a.].