Luca Sven Rolshoven

Research in Natural Language Processing (NLP) and it's application to Public Procurement and Law

Empowering the public sector with generative AI expertise

Benchmarking of NLP systems

SNSF Sinergia Project: Measuring Sustainability in Public Procurement Using NLP

Speaker at conferences and practitioner events on AI and sustainable public procurement

Hands-on workshops on large language models and AI agents (Open Source AI Workshops, CH Open)

Natural language processing and large language models

Information retrieval, retrieval-augmented generation and (re)ranking with bi- and cross-encoders

Evaluation methodology and benchmark construction for multilingual NLP

Distributed black-box optimization and evolutionary computation

AI for sustainable public procurement: measuring sustainability criteria in Swiss tender documents with large language models (SNSF Sinergia project)

Multilingual datasets and benchmarks

Scalable black-box optimization for high-dimensional and mixed-parameter search spaces

DiBB and MixDiBB: open-source frameworks for distributed black-box optimization

SLDS: multilingual dataset and benchmark for judicial summarization of Swiss Federal Supreme Court decisions

Rolshoven, L., Stürmer, M., & Cuccu, G. (2026, July). MixDiBB: Distributed Black-Box Optimization for Mixed-Parameter Search Spaces. In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 709-717).

Gao, Y., Matoshi, V., Rolshoven, L., Ellendorff, T., Jann, J. A., Schneider, G., & Stürmer, M. (2026, August). Generating and Evaluating Sustainable Procurement Criteria for the Swiss Public Sector using In-Context Prompting with Large Language Models. In Proceedings of the 2026 ACM Symposium on Document Engineering (pp. 1-10).

Rolshoven, L., Rasiah, V., Bose, S. B., Hostettler, S., Burkhalter, L., Stürmer, M., & Niklaus, J. (2025, November). Unlocking Legal Knowledge: A Multilingual Dataset for Judicial Summarization in Switzerland. In EMNLP (Findings) (pp. 15382-15411).

Rolshoven, L., Matoshi, V., Ellendorff, T., Hostettler, S., Meili, R., Binder, J., & Stürmer, M. (2025). Identifying Sustainability in Public Tendering. In Green-Aware AI@ ECAI (pp. 11-19).

Matoshi, V., Rolshoven, L., & Stürmer, M. (2024, June). Zero-shot award criteria extraction via large language models from german procurement data from switzerland. In Proceedings of the 9th edition of the Swiss Text Analytics Conference (pp. 113-133).

Cuccu, G., Rolshoven, L., Vorpe, F., Cudré-Mauroux, P., & Glasmachers, T. (2022, July). DiBB: Distributing Black-Box Optimization. In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 341-349).

Rolshoven, L., Masanti, C., Pincay, J., Terán, L., Mancera, J., & Portmann, E. (2022). MovieOcean: Assessment of a Personality-based Recommender System. In ICEIS (1) (pp. 690-698).