Madelon Hulsebos

44 papers A* 4A 2Misc 1Journal 25Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Fine-Grained Table Retrieval Through the Lens of Complex Queries.
CoRR
Wojciech Kosiuk, Xingyu Ji, Yeounoh Chung, Fatma Özcan, Madelon Hulsebos
2026 J jnl
SQaLe: A Large Text-to-SQL Corpus Grounded in Real Schemas.
CoRR
Cornelius Wolff, Daniel Gomm, Madelon Hulsebos
2025 J jnl
Are We Asking the Right Questions? On Ambiguity in Natural Language Queries for Tabular Data Analysis.
CoRR
Daniel Gomm, Cornelius Wolff, Madelon Hulsebos
2025 J jnl
Challenges and Opportunities of Table Representation Learning (Dagstuhl Seminar 25182).
Dagstuhl Reports
Carsten Binnig, Julian Martin Eisenschlos, Madelon Hulsebos, Frank Hutter
2025 J jnl
Front Matter.
Proc. VLDB Endow.
Sonia Bergamaschi, Sourav S. Bhowmick, Philippe Bonnet, Surajit Chaudhuri, Xiaoou Ding, Hakan Ferhatosmanoglu, Raul Castro Fernandez, Jana Giceva, Madelon Hulsebos, Alexandra Meliou, Nikos Ntarmos, Themis Palpanas, John Paparrizos, Norman Paton, Subhadeep Sarkar, Giovanni Simonini, Nesime Tatbul, Jiuqi Wei, Jingren Zhou
2025 J jnl
How well do LLMs reason over tabular data, really?
CoRR
Cornelius Wolff, Madelon Hulsebos
2025 — conf
Ninth Workshop on Data Management for End-to-End Machine Learning (DEEM).
SIGMOD Conference Companion
Stefan Grafberger, Madelon Hulsebos, Matteo Interlandi, Shreya Shankar
2025 A* conf
Querying Templatized Document Collections with Large Language Models.
ICDE
Yiming Lin, Madelon Hulsebos, Ruiying Ma, Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran, Eugene Wu
2025 A* conf
Rethinking Dataset Discovery with DataScout.
UIST
Rachel Lin, Bhavya Chopra, Wenjing Lin, Shreya Shankar, Madelon Hulsebos, Aditya G. Parameswaran
2025 J jnl
Rethinking Dataset Discovery with DataScout.
CoRR
Rachel Lin, Bhavya Chopra, Wenjing Lin, Shreya Shankar, Madelon Hulsebos, Aditya G. Parameswaran
2025 J jnl
TARGET: Benchmarking Table Retrieval for Generative Tasks.
CoRR
Xingyu Ji, Parker Glenn, Aditya G. Parameswaran, Madelon Hulsebos
2025 J jnl
Towards Contextual Sensitive Data Detection.
CoRR
Liang Telkamp, Madelon Hulsebos
2024 — conf
Eighth Workshop on Data Management for End-to-End Machine Learning (DEEM).
SIGMOD Conference Companion
Madelon Hulsebos, Matteo Interlandi, Shreya Shankar
2024 — conf
It Took Longer than I was Expecting: Why is Dataset Search Still so Hard?
HILDA@SIGMOD
Madelon Hulsebos, Wenjing Lin, Shreya Shankar, Aditya G. Parameswaran
2024 J jnl
SPADE: Synthesizing Assertions for Large Language Model Pipelines.
CoRR
Shreya Shankar, Haotian Li, Parth Asawa, Madelon Hulsebos, Yiming Lin, J. D. Zamfirescu-Pereira, Harrison Chase, Will Fu-Hinthorn, Aditya G. Parameswaran, Eugene Wu
2024 J jnl
SPADE: Synthesizing Data Quality Assertions for Large Language Model Pipelines.
Proc. VLDB Endow.
Shreya Shankar, Haotian Li, Parth Asawa, Madelon Hulsebos, Yiming Lin, J. D. Zamfirscu-Pereira, Harrison Chase, Will Fu-Hinthorn, Aditya G. Parameswaran, Eugene Wu
2024 J jnl
SchemaPile: A Large Collection of Relational Database Schemas.
Proc. ACM Manag. Data
Till Döhmen, Radu Geacu, Madelon Hulsebos, Sebastian Schelter
2024 J jnl
Towards Accurate and Efficient Document Analytics with Large Language Models.
CoRR
Yiming Lin, Madelon Hulsebos, Ruiying Ma, Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran, Eugene Wu
2023 J jnl
AdaTyper: Adaptive Semantic Column Type Detection.
CoRR
Madelon Hulsebos, Paul Groth, Çagatay Demiralp
2023 J jnl
GitTables: A Large-Scale Corpus of Relational Tables.
Proc. ACM Manag. Data
Madelon Hulsebos, Çagatay Demiralp, Paul Groth
2023 — conf
Models and Practice of Neural Table Representations.
SIGMOD Conference Companion
Madelon Hulsebos, Xiang Deng, Huan Sun, Paolo Papotti
2023 J jnl
Observatory: Characterizing Embeddings of Relational Tables.
CoRR
Tianji Cong, Madelon Hulsebos, Zhenjie Sun, Paul Groth, H. V. Jagadish
2023 J jnl
Observatory: Characterizing Embeddings of Relational Tables.
Proc. VLDB Endow.
Tianji Cong, Madelon Hulsebos, Zhenjie Sun, Paul Groth, H. V. Jagadish
2023 — ed.
Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, SemTab 2022, co-located with the 21st International Semantic Web Conference, ISWC 2022, Virtual conference, October 23-27, 2022.
SemTab@ISWC
Vasilis Efthymiou, Ernesto Jiménez-Ruiz, Jiaoyan Chen, Vincenzo Cutrona, Oktie Hassanzadeh, Juan Sequeda, Kavitha Srinivas, Nora Abdelmageed, Madelon Hulsebos
2023 — ed.
Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, SemTab 2023, co-located with the 22nd International Semantic Web Conference, ISWC 2023, Athens, Greece, November 6-10, 2023.
SemTab@ISWC
Vasilis Efthymiou, Ernesto Jiménez-Ruiz, Jiaoyan Chen, Vincenzo Cutrona, Oktie Hassanzadeh, Juan Sequeda, Kavitha Srinivas, Nora Abdelmageed, Madelon Hulsebos, Aamod Khatiwada, Keti Korini, Benno Kruit
2023 — conf
Results of SemTab 2023.
SemTab@ISWC
Oktie Hassanzadeh, Nora Abdelmageed, Vasilis Efthymiou, Jiaoyan Chen, Vincenzo Cutrona, Madelon Hulsebos, Ernesto Jiménez-Ruiz, Aamod Khatiwada, Keti Korini, Benno Kruit, Juan Sequeda, Kavitha Srinivas
2023 — conf
Seventh Workshop on Data Management for End-to-End Machine Learning (DEEM).
SIGMOD Conference Companion
Matthias Boehm, Madelon Hulsebos, Shreya Shankar, Paroma Varma
2022 A conf
Augmenting Decision Making via Interactive What-If Analysis.
CIDR
Sneha Gathani, Madelon Hulsebos, James Gale, Peter J. Haas, Çagatay Demiralp
2022 — conf
GitSchemas: A Dataset for Automating Relational Data Preparation Tasks.
ICDE Workshops
Till Döhmen, Madelon Hulsebos, Christian Beecks, Sebastian Schelter
2022 A conf
Making Table Understanding Work in Practice.
CIDR
Madelon Hulsebos, Sneha Gathani, James Gale, Isil Dillig, Paul Groth, Çagatay Demiralp
2022 — ed.
Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching co-located with the 20th International Semantic Web Conference (ISWC 2021), Virtual conference, October 27, 2021.
SemTab@ISWC
Ernesto Jiménez-Ruiz, Vasilis Efthymiou, Jiaoyan Chen, Vincenzo Cutrona, Oktie Hassanzadeh, Juan Sequeda, Kavitha Srinivas, Nora Abdelmageed, Madelon Hulsebos, Daniela Oliveira, Catia Pesquita
2022 — conf
Results of SemTab 2022.
SemTab@ISWC
Nora Abdelmageed, Jiaoyan Chen, Vincenzo Cutrona, Vasilis Efthymiou, Oktie Hassanzadeh, Madelon Hulsebos, Ernesto Jiménez-Ruiz, Juan Sequeda, Kavitha Srinivas
2021 J jnl
Augmenting Decision Making via Interactive What-If Analysis.
CoRR
Sneha Gathani, Madelon Hulsebos, James Gale, Peter J. Haas, Çagatay Demiralp
2021 J jnl
GitTables: A Large-Scale Corpus of Relational Tables.
CoRR
Madelon Hulsebos, Çagatay Demiralp, Paul Groth
2021 J jnl
Making Table Understanding Work in Practice.
CoRR
Madelon Hulsebos, Sneha Gathani, James Gale, Isil Dillig, Paul Groth, Çagatay Demiralp
2021 — conf
Results of SemTab 2021.
SemTab@ISWC
Vincenzo Cutrona, Jiaoyan Chen, Vasilis Efthymiou, Oktie Hassanzadeh, Ernesto Jiménez-Ruiz, Juan Sequeda, Kavitha Srinivas, Nora Abdelmageed, Madelon Hulsebos, Daniela Oliveira, Catia Pesquita
2020 J jnl
Sato: Contextual Semantic Type Detection in Tables.
Proc. VLDB Endow.
Dan Zhang, Yoshihiko Suhara, Jinfeng Li, Madelon Hulsebos, Çagatay Demiralp, Wang-Chiew Tan
2019 J jnl
Sato: Contextual Semantic Type Detection in Tables.
CoRR
Dan Zhang, Yoshihiko Suhara, Jinfeng Li, Madelon Hulsebos, Çagatay Demiralp, Wang-Chiew Tan
2019 A* conf
Sherlock: A Deep Learning Approach to Semantic Data Type Detection.
KDD
Madelon Hulsebos, Kevin Zeng Hu, Michiel A. Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, Çagatay Demiralp, César A. Hidalgo
2019 J jnl
Sherlock: A Deep Learning Approach to Semantic Data Type Detection.
CoRR
Madelon Hulsebos, Kevin Zeng Hu, Michiel A. Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, Çagatay Demiralp, César A. Hidalgo
2019 A* conf
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository.
CHI
Kevin Zeng Hu, Snehalkumar (Neil) S. Gaikwad, Madelon Hulsebos, Michiel A. Bakker, Emanuel Zgraggen, César A. Hidalgo, Tim Kraska, Guoliang Li, Arvind Satyanarayan, Çagatay Demiralp
2019 J jnl
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository.
CoRR
Kevin Zeng Hu, Snehalkumar (Neil) S. Gaikwad, Michiel A. Bakker, Madelon Hulsebos, Emanuel Zgraggen, César A. Hidalgo, Tim Kraska, Guoliang Li, Arvind Satyanarayan, Çagatay Demiralp
2018 Misc conf
The Network Nullspace Property for Compressed Sensing of Big Data Over Networks.
ICASSP
Madelon Hulsebos, Alexander Jung
2018 J jnl
The Network Nullspace Property for Compressed Sensing of Big Data Over Networks.
Frontiers Appl. Math. Stat.
Alexander Jung, Madelon Hulsebos