Publications

Publications by categories in reversed chronological order.

The below selection of recent papers from the lab provides an (inexhaustive) representation of our output and interests.

2025

  1. How well do LLMs reason over tabular data, really?
    Cornelius Wolff, and Madelon Hulsebos
    arXiv preprint arXiv:2505.07453, 2025
  2. Metadata Matters in Dense Table Retrieval
    Daniel Gomm, and Madelon Hulsebos
    In ELLIS workshop on Representation Learning and Generative Models for Structured Data, 2025

2024

  1. TARGET: Benchmarking Table Retrieval for Generative Tasks
    Xingyu Ji, Aditya Parameswaran, and Madelon Hulsebos
    In NeurIPS 2024 Third Table Representation Learning Workshop, 2024
  2. “It Took Longer than I was Expecting:” Why is Dataset Search Still so Hard?
    Madelon Hulsebos, Wenjing Lin, Shreya Shankar, and 1 more author
    2024
  3. SchemaPile: A Large Collection of Relational Database Schemas
    Till Döhmen, Radu Geacu, Madelon Hulsebos, and 1 more author
    Proceedings of the ACM on Management of Data, 2024

2023

  1. Observatory: Characterizing Embeddings of Relational Tables
    Tianji Cong, Madelon Hulsebos, Zhenjie Sun, and 2 more authors
    PVLDB, 2023
  2. GitTables: A large-scale corpus of relational tables
    Madelon Hulsebos, Çağatay Demiralp, and Paul Groth
    Proceedings of the ACM on Management of Data, 2023