Matthias Urban

According to our database, Matthias Urban authored at least 12 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Utilizing Past User Feedback for More Accurate Text-to-SQL.

Matthias Urban, Jialin Ding, David Kernert, Kapil Vaidya, Tim Kraska

Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2025

Towards Complex Table Question Answering Over Tabular Data Lakes.

Daniela Risis, Jan-Micha Bodensohn, Matthias Urban, Carsten Binnig

Proceedings of the Datenbanksysteme für Business, 2025

2024

ELEET: Efficient Learned Query Execution over Text and Tables.

Matthias Urban, Carsten Binnig

Proc. VLDB Endow., September, 2024

Efficient Learned Query Execution over Text and Tables [Technical Report].

Matthias Urban, Carsten Binnig

CoRR, 2024

LLMs for Data Engineering on Enterprise Data.

Jan-Micha Bodensohn, Ulf Brackmann, Liane Vogel, Matthias Urban, Anupam Sanghi, Carsten Binnig

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

Demonstrating CAESURA: Language Models as Multi-Modal Query Planners.

Matthias Urban, Carsten Binnig

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

CAESURA: Language Models as Multi-Modal Query Planners.

Matthias Urban, Carsten Binnig

Proceedings of the 14th Conference on Innovative Data Systems Research, 2024

2023

Towards Multi-Modal DBMSs for Seamless Querying of Texts and Tables.

Matthias Urban, Carsten Binnig

CoRR, 2023

WannaDB: Ad-hoc SQL Queries over Text Collections.

Benjamin Hättasch, Jan-Micha Bodensohn, Liane Vogel, Matthias Urban, Carsten Binnig

Proceedings of the Datenbanksysteme für Business, 2023

OmniscientDB: A Large Language Model-Augmented DBMS That Knows What Other DBMSs Do Not Know.

Matthias Urban, Duc Dat Nguyen, Carsten Binnig

Proceedings of the Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2023

2022

Hybrid Database Operations: Learned Operations for Seamless Querying of Textual and Tabular Data.

Matthias Urban, Carsten Binnig

Proceedings of the LWDA 2022 Workshops: FGWM, 2022

2019

Towards Automatically-Tuned Deep Neural Networks.

Hector Mendoza, Aaron Klein, Matthias Feurer, Jost Tobias Springenberg, Matthias Urban, Michael Burkart, Maximilian Dippel, Marius Lindauer, Frank Hutter

Proceedings of the Automated Machine Learning - Methods, Systems, Challenges, 2019