Advances in AOP with AspectC++. - Olaf Spinczyk; Daniel Lohmann; Matthias Urban (SoMeT, 2005)

The aspect-oriented design of the PUMA C/C++ parser framework. - Matthias Urban; Daniel Lohmann; Olaf Spinczyk (AOSD, 2010)

Glottochronology as a Heuristic for Genealogical Language Relationships. - Søren Wichmann; Eric W. Holman; André Müller; Viveka Velupillai; Johann-Mattis List; Oleg Belyaev; Matthias Urban; Dik Bakker (J. Quant. Linguistics, 2010)

Puma: An Aspect-Oriented Code Analysis and Manipulation Framework for C and C++. - Matthias Urban; Daniel Lohmann; Olaf Spinczyk (LNCS Trans. Aspect Oriented Softw. Dev., 2011)

Using Network Approaches to Enhance the Analysis of Cross-Linguistic Polysemies. - Johann-Mattis List; Anselm Terhalle; Matthias Urban (IWCS, 2013)

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 (Automated Machine Learning, 2019)

Mountain linguistics. - Matthias Urban (Lang. Linguistics Compass, 2020)

Language classification, language contact and Andean prehistory: The North. - Matthias Urban (Lang. Linguistics Compass, 2021)

Hybrid Database Operations: Learned Operations for Seamless Querying of Textual and Tabular Data. - Matthias Urban; Carsten Binnig (LWDA, 2022)

OmniscientDB: A Large Language Model-Augmented DBMS That Knows What Other DBMSs Do Not Know. - Matthias Urban; Duc Dat Nguyen; Carsten Binnig (aiDM@SIGMOD, 2023)

WannaDB: Ad-hoc SQL Queries over Text Collections. - Benjamin Hättasch; Jan-Micha Bodensohn; Liane Vogel; Matthias Urban; Carsten Binnig (BTW, 2023)

Towards Multi-Modal DBMSs for Seamless Querying of Texts and Tables. - Matthias Urban; Carsten Binnig (CoRR, 2023)

CINWA (database of terminology for cultivated plants in indigenous languages of northwestern South America): introducing a resource for research in ethnobiology, anthropology, historical linguistics, and interdisciplinary research on the neolithic transition in South America. - Matthias Urban; Evelyn Michelle Aguilar Panchi; Saetbyul Lee; Evgenia Brodetsky (Lang. Resour. Evaluation, 2023)

CAESURA: Language Models as Multi-Modal Query Planners. - Matthias Urban; Carsten Binnig (CIDR, 2024)

Demonstrating CAESURA: Language Models as Multi-Modal Query Planners. - Matthias Urban; Carsten Binnig (SIGMOD Conference Companion, 2024)

LLMs for Data Engineering on Enterprise Data. - Jan-Micha Bodensohn; Ulf Brackmann; Liane Vogel; Matthias Urban; Anupam Sanghi; Carsten Binnig (VLDB Workshops, 2024)

Efficient Learned Query Execution over Text and Tables [Technical Report]. - Matthias Urban; Carsten Binnig (CoRR, 2024)

ELEET: Efficient Learned Query Execution over Text and Tables. - Matthias Urban; Carsten Binnig (Proc. VLDB Endow., 2024)

Towards Complex Table Question Answering Over Tabular Data Lakes. - Daniela Risis; Jan-Micha Bodensohn; Matthias Urban; Carsten Binnig (BTW Workshops, 2025)

Utilizing Past User Feedback for More Accurate Text-to-SQL. - Matthias Urban; Jialin Ding 001; David Kernert; Kapil Vaidya; Tim Kraska (HILDA@SIGMOD, 2025)