@article{BialonskiGrieger2023,
  author    = {Bialonski, Stephan and Grieger, Niklas},
  title     = {Der KI-Chatbot ChatGPT: Eine Herausforderung f{\"u}r die Hochschulen},
  series = {Die neue Hochschule},
  volume    = {2023},
  journal   = {Die neue Hochschule},
  number    = {1},
  publisher = {HLB},
  address   = {Bonn},
  issn      = {0340-448X},
  doi       = {10.5281/zenodo.7533758},
  pages     = {24 -- 27},
  year      = {2023},
  abstract  = {Essays, Gedichte, Programmcode: ChatGPT generiert automatisch Texte auf bisher unerreicht hohem Niveau. Dieses und nachfolgende Systeme werden nicht nur die akademische Welt nachhaltig ver{\"a}ndern.},
  language  = {de}
}
@unpublished{BornheimNiklasBlanecketal.2023,
  author    = {Bornheim, Tobias and Niklas, Grieger and Blaneck, Patrick Gustav and Bialonski, Stephan},
  title     = {Preprint: Speaker attribution in German parliamentary debates with QLoRA-adapted large language models},
  series = {Journal for Language Technology and Computational Linguistics},
  journal   = {Journal for Language Technology and Computational Linguistics},
  doi       = {10.48550/arXiv.2309.09902},
  pages     = {8 Seiten},
  year      = {2023},
  abstract  = {The growing body of political texts opens up new opportunities for rich insights into political dynamics and ideologies but also increases the workload for manual analysis. Automated speaker attribution, which detects who said what to whom in a speech event and is closely related to semantic role labeling, is an important processing step for computational text analysis. We study the potential of the large language model family Llama 2 to automate speaker attribution in German parliamentary debates from 2017-2021. We fine-tune Llama 2 with QLoRA, an efficient training strategy, and observe our approach to achieve competitive performance in the GermEval 2023 Shared Task On Speaker Attribution in German News Articles and Parliamentary Debates. Our results shed light on the capabilities of large language models in automating speaker attribution, revealing a promising avenue for computational analysis of political discourse and the development of semantic role labeling systems.},
  language  = {en}
}
@article{RingersBialonskiEgeetal.2023,
  author    = {Ringers, Christa and Bialonski, Stephan and Ege, Mert and Solovev, Anton and Hansen, Jan Niklas and Jeong, Inyoung and Friedrich, Benjamin M. and Jurisch-Yaksi, Nathalie},
  title     = {Novel analytical tools reveal that local synchronization of cilia coincides with tissue-scale metachronal waves in zebrafish multiciliated epithelia},
  series = {eLife},
  volume    = {12},
  journal   = {eLife},
  publisher = {eLife Sciences Publications},
  issn      = {2050-084X},
  doi       = {10.7554/eLife.77701},
  pages     = {27 Seiten},
  year      = {2023},
  abstract  = {Motile cilia are hair-like cell extensions that beat periodically to generate fluid flow along various epithelial tissues within the body. In dense multiciliated carpets, cilia were shown to exhibit a remarkable coordination of their beat in the form of traveling metachronal waves, a phenomenon which supposedly enhances fluid transport. Yet, how cilia coordinate their regular beat in multiciliated epithelia to move fluids remains insufficiently understood, particularly due to lack of rigorous quantification. We combine experiments, novel analysis tools, and theory to address this knowledge gap. To investigate collective dynamics of cilia, we studied zebrafish multiciliated epithelia in the nose and the brain. We focused mainly on the zebrafish nose, due to its conserved properties with other ciliated tissues and its superior accessibility for non-invasive imaging. We revealed that cilia are synchronized only locally and that the size of local synchronization domains increases with the viscosity of the surrounding medium. Even though synchronization is local only, we observed global patterns of traveling metachronal waves across the zebrafish multiciliated epithelium. Intriguingly, these global wave direction patterns are conserved across individual fish, but different for left and right noses, unveiling a chiral asymmetry of metachronal coordination. To understand the implications of synchronization for fluid pumping, we used a computational model of a regular array of cilia. We found that local metachronal synchronization prevents steric collisions, i.e., cilia colliding with each other, and improves fluid pumping in dense cilia carpets, but hardly affects the direction of fluid flow. In conclusion, we show that local synchronization together with tissue-scale cilia alignment coincide and generate metachronal wave patterns in multiciliated epithelia, which enhance their physiological function of fluid pumping.},
  language  = {en}
}