Madelon Hulsebos

Full Name

M Hulsebos

Madelon.Hulsebos@cwi.nl

Phone

+31 20 592 4134

Room

L320

Department(s)

Database Architectures

Function(s)

Scientific Staff Member

Gomm, D., Wolff, C., & Hulsebos, M. (2025). Are we asking the right questions? On ambiguity in natural language queries for tabular data analysis. In Proceedings of the 4th Table Representation Learning Workshop 2025 (pp. 1–14).
Wolff, C., Gomm, D., & Hulsebos, M. (2025). SQaLe: A large text-to-SQL corpus grounded in real schemas. In EurIPS 2025 Workshop: AI for Tabular Data (AITD@EurIPS 2025).
Wolff, C., & Hulsebos, M. (2025). How well do LLMs reason over tabular data, really?. In Proceedings of the 4th Table Representation Learning Workshop 2025 (pp. 241–250).
Wolff, C., Gomm, D., & Hulsebos, M. (2025). SQaLe: A large-scale semi-synthetic dataset.
Telkamp, L., Rabier, M., Teran, J., & Hulsebos, M. (2025). Detecting contextually sensitive data with AI. In United Nations Economic Commission for Europe, Conference of European Statisticians, Expert Meeting on Statistical Data COnfidentiality, 2025.
Lin, R., Chopra, B., Lin, W., Shankar, S., Hulsebos, M., & Parameswaran, A. G. (2025). Rethinking dataset discovery with DataScout. In Proceedings of the Annual ACM Symposium on User Interface Software and Technology (pp. 179:1–179:16). doi:10.1145/3746059.3747727
Lin, Y., Hulsebos, M., Ma, R., Shankar, S., Zeighami, S., Parameswaran, A. G., & Wu, E. (2025). Querying templatized document collections with large language models. In Proceedings of the IEEE International Conference on Data Engineering (ICDE) (pp. 2422–2435). doi:10.1109/ICDE65448.2025.00183
Gomm, D., & Hulsebos, M. (2025). Metadata matters in dense table retrieval.
Ji, X., Parameswaran, A., & Hulsebos, M. (2024). TARGET: Benchmarking table retrieval for generative tasks. In Proceedings NeurIPS (Annual Conference on Neural Information Processing Systems).
Doehmen, T., Geacu, R., Hulsebos, M., & Schelter, S. (2024). SchemaPile: A large collection of relational database schemas. doi:10.5281/zenodo.12682521

Speaker: Keynote at the AI for Tabular Data workshop at EurIPS 2025
Speaker: Harnessing AI for Relational Data: Industry and Research Perspectives (San Francisco Meetup)
Speaker: COMPASS Seminar, ETH Zürich
Speaker: Invited talk "Towards robust open-domain querying over structured data" at University of Amsterdam, Amsterdam UMC, SAP, IBM.
Speaker: Guest Lecture on Representation Learning and Generative Models for Tabular Data at BIFOLD & TU Berlin
Speaker: Guest Lecture on Representation Learning and Generative Models for Tabular Data, University of Amsterdam
Chair: Dagstuhl Seminar on Challenges and Opportunities of Table Representation Learning
Founder: Table Representation Learning workshop series (NeurIPS, ACL)
Founder: Table Representation Learning research theme ELLIS unit Amsterdam
Board Member: Scientific Advisory Board of Prior Labs

ELLIS TRL Research Theme by SAP (50K euros) (2025)
SAP - CWI Research Grant Agreement (2024)
Democratizing Insight Retrieval from (Semi-)Structured Data (DataLibra) (2024)

Democratizing Insight Retrieval from (Semi-)Structured Data (DataLibra) (DataLibra)
SAP Research Agreement (SAP Research Agreement)

Madelon Hulsebos

Publications

Professional activities

Grants

Current projects with external funding

Madelon Hulsebos

Publications

Professional activities

Grants

Current projects with external funding

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