no code implementations • 8 May 2024 • Michael Mock, Sebastian Schmidt, Felix Müller, Rebekka Görge, Anna Schmitz, Elena Haedecke, Angelika Voss, Dirk Hecker, Maximillian Poretschkin
Chapter 2 provides an introduction to the technical construction of foundation models and Chapter 3 shows how AI applications can be developed based on them.
2 code implementations • 7 Feb 2024 • Sebastian Schmidt, Ines Zelch, Janek Bevendorff, Benno Stein, Matthias Hagen, Martin Potthast
In this paper, we thus take a first step to investigate whether LLMs can also be used as a countermeasure, i. e., to block generated native ads.
no code implementations • 11 Sep 2023 • Sebastian Schmidt, Stephan Günnemann
We exploited the temporal properties for such image streams in our work and proposed the novel temporal predicted loss (TPL) method.
2 code implementations • 2 Apr 2023 • Jan Heinrich Reimer, Sebastian Schmidt, Maik Fröbe, Lukas Gienapp, Harrisen Scells, Benno Stein, Matthias Hagen, Martin Potthast
The Archive Query Log (AQL) is a previously unused, comprehensive query log collected at the Internet Archive over the last 25 years.
no code implementations • 4 Jan 2022 • Julian Schwierzy, Robert Dehghan, Sebastian Schmidt, Elisa Rodepeter, Andreas Stoemmer, Kaan Uctum, Jan Kinne, David Lenz, Hanna Hottenrott
The diffusion of new technologies is crucial for the realization of social and economic returns to innovation.
no code implementations • GermEval 2021 • Christian Gawron, Sebastian Schmidt
In this paper we describe the methods we used for our submissions to the GermEval 2021 shared task on the identification of toxic, engaging, and fact-claiming comments.