Publications

Ines Zelch, Matthias Hagen, and Martin Potthast. A User Study on the Acceptance of Native Advertising in Generative IR. Proceedings of the 2024 Conference on Human Information Interaction and Retrieval, 142–152, Association for Computing Machinery, New York, NY, USA, 2024. [PUMA: Advertising Generative LLMs, Search information retrieval,] URL

Martin Bromberger, Irina Dragoste, Rasha Faqeh, Christof Fetzer, Larry González, Markus Krötzsch, Maximilian Marx, Harish K Murali, and Christoph Weidenbach. A Sorted Datalog Hammer for Supervisor Verification Conditions Modulo Simple Linear Arithmetic. arXiv, 2022. [PUMA: (cs.LO), Computer FOS: Logic Science and in information sciences sciences,] URL

Stefan Heindorf, Yan Scholten, Henning Wachsmuth, Axel-Cyrille Ngonga Ngomo, and Martin Potthast. CauseNet: Towards a Causality Graph Extracted from the Web. Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 3023–3030, Association for Computing Machinery, New York, NY, USA, 2020. [PUMA: causality extraction, graph, information knowledge] URL

Matti Wiegmann, Jennifer Rakete, Magdalena Wolska, Benno Stein, and Martin Potthast. If there's a Trigger Warning, then where's the Trigger? Investigating Trigger Warnings at the Passage Level. arXiv, 2024. [PUMA: (cs.CL), (cs.CY), Computation Computer Computers FOS: Language Society and information sciences sciences,] URL

Lukas Gienapp, Maik Fröbe, Matthias Hagen, and Martin Potthast. The Impact of Negative Relevance Judgments on NDCG. Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 2037–2040, Association for Computing Machinery, New York, NY, USA, 2020. [PUMA: cumulated discounted evaluation, gain, information judgements, normalized relevance reliability, retrieval, stability] URL

Lukas Gienapp, Benno Stein, Matthias Hagen, and Martin Potthast. Estimating Topic Difficulty Using Normalized Discounted Cumulated Gain. Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 2033–2036, Association for Computing Machinery, New York, NY, USA, 2020. [PUMA: cumulative difficulty discounted evaluation, gain, information normalized retrieval, topic] URL

Ulrike Kister, Patrick Reipschläger, and Raimund Dachselt. MultiLens: Fluent Interaction with Multi-Functional Multi-Touch Lenses for Information Visualization. Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces, 139–148, Association for Computing Machinery, New York, NY, USA, 2016. [PUMA: exploration, focus+context graph information interaction, lenses, magic multi-touch visualization,] URL

Ulrich von Zadow, Wolfgang Büschel, Ricardo Langner, and Raimund Dachselt. SleeD: Using a Sleeve Display to Interact with Touch-sensitive Display Walls. Proceedings of the Ninth ACM International Conference on Interactive Tabletops and Surfaces, 129–138, Association for Computing Machinery, New York, NY, USA, 2014. [PUMA: arm collaboration, display display, information multi-touch, multi-user, visualization, wall, wearable] URL

Kim Breitwieser, Allison Lahnala, Charles Welch, Lucie Flek, and Martin Potthast. Modeling Proficiency with Implicit User Representations. arXiv, 2021. [PUMA: (cs.CL), Computation Computer FOS: Language and information sciences sciences,] URL

Suryanarayana Maddu, Bevan L. Cheeseman, Ivo F. Sbalzarini, and Christian L. Müller. Stability selection enables robust learning of partial differential equations from limited noisy data. arXiv, 2019. [PUMA: (cs.LG), (math.NA), (physics.data-an), Analysis Analysis, Computer Data FOS: Learning Machine Mathematics, Numerical Physical Probability Statistics and information sciences sciences,] URL