MH
Madelon Hulsebos
cs.DBcs.LGcs.CLcs.AIcs.IRcs.HCstat.MLcs.CRcs.CYcs.SE
On Valency
published · living versionsW_mt5cap6c·v2 · currentpublished
Open Tabular Insight Extraction: Where Do We Stand, and Where Should We Go?
with Daniel Gomm, Maarten de Rijke
2 versions
Preprints & journals
23 papers in the corpus · 2017–2026The Silent Failures in Agentic Data Science2610.14115v1 · Xue Li, Hongqian Xia, Daniel Gomm et al.2026 · 0 citationsarXiv
TabPFN-3.5: Technical Report2609.17895v2 · Benjamin Jager, Nick Erickson, L'eo Grinsztajn et al.2026 · 0 citationsarXiv
Open Tabular Insight Extraction: Where Do We Stand, and Where Should We Go?2609.07629v2 · Daniel Gomm, Maarten de Rijke, Madelon Hulsebos2026 · 0 citationsarXivon Valency
Advancing Open and Reproducible Relational Learning: RelArena-, TabPFN-Rel and RPI2608.16319v2 · Adrian Hayler, Klemens Floge, Alan Arazi et al.2026 · 0 citationsarXiv
TabPFN-3: Technical Report2605.13986v2 · L'eo Grinsztajn, Klemens Floge, Oscar Key et al.2026 · 3 citationsarXiv
Fine-Grained Table Retrieval Through the Lens of Complex Queries2603.07146v1 · Wojciech Kosiuk, Xingyu Ji, Yeounoh Chung et al.2026 · 0 citationsarXiv
SQaLe: A Large Text-to-SQL Corpus Grounded in Real Schemas2602.22223v1 · Cornelius Wolff, Daniel Gomm, Madelon Hulsebos2025 · 0 citationsarXiv
Towards Contextual Sensitive Data Detection2512.04120v2 · Liang Telkamp, Madelon Hulsebos2025 · 0 citationsarXiv
Are We Asking the Right Questions? On Ambiguity in Natural Language Queries for Tabular Data Analysis2511.04584v4 · Daniel Gomm, Cornelius Wolff, Madelon Hulsebos2025 · 0 citationsarXiv
Rethinking Dataset Discovery with DataScout2507.18971v1 · Rachel Lin, Bhavya Chopra, Wenjing Lin et al.2025 · 3 citationsarXiv
TARGET: Benchmarking Table Retrieval for Generative Tasks2505.11545v1 · Xingyu Ji, Parker Glenn, Aditya G. Parameswaran et al.2025 · 1 citationarXiv
How well do LLMs reason over tabular data, really?2505.07453v3 · Cornelius Wolff, Madelon Hulsebos2025 · 2 citationsThe 4th Table Representation Learning Workshop at ACL 2025
Towards Accurate and Efficient Document Analytics with Large Language Models2405.04674v1 · Yiming Lin, Madelon Hulsebos, Ruiying Ma et al.2024 · 3 citationsarXiv
SPADE: Synthesizing Data Quality Assertions for Large Language Model Pipelines2401.03038v2 · Shreya Shankar, Haotian Li, Parth Asawa et al.2024 · 26 citationsarXiv
AdaTyper: Adaptive Semantic Column Type Detection2311.13806v1 · Madelon Hulsebos, Paul Groth, Cagatay Demiralp2023 · 1 citationarXiv
Observatory: Characterizing Embeddings of Relational Tables2310.07736v3 · Tianji Cong, Madelon Hulsebos, Zhenjie Sun et al.2023 · 16 citationsarXiv
Augmenting Decision Making via Interactive What-If Analysis2109.06160v4 · Sneha Gathani, Madelon Hulsebos, James Gale et al.2021 · 5 citationsarXiv
Making Table Understanding Work in Practice2109.05173v1 · Madelon Hulsebos, Sneha Gathani, James Gale et al.2021 · 0 citationsarXiv
GitTables: A Large-Scale Corpus of Relational Tables2106.07258v5 · Madelon Hulsebos, Cagatay Demiralp, Paul Groth2021 · 44 citationsarXiv
Sato: Contextual Semantic Type Detection in Tables1911.06311v3 · Dan Zhang, Yoshihiko Suhara, Jinfeng Li et al.2019 · 13 citationsarXiv
Sherlock: A Deep Learning Approach to Semantic Data Type Detection1905.10688v1 · Madelon Hulsebos, Kevin Hu, Michiel Bakker et al.2019 · 15 citationsarXiv
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository1905.04616v1 · Kevin Hu, Neil Gaikwad, Michiel Bakker et al.2019 · 10 citationsarXiv
The Network Nullspace Property for Compressed Sensing of Big Data over Networks1705.04379v4 · Alexander Jung, Madelon Hulsebos2017 · 12 citationsarXiv
Career total: 54 works. 23 are in this corpus.
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