@article{7066, author = {Lukassen, Fabian and Weisser, Christoph and Kneib, Thomas and Silbersdorff, Alexander}, journal = {Preprint}, publisher = {arxiv}, title = {{CAFE: A Compound-AI Factorial Evaluation Framework}}, doi = {10.48550/arXiv.2607.10380}, year = {2026}, } @article{6924, abstract = {Das Positionspapier formuliert neun Thesen zur Weiterentwicklung der Statistikausbildung im Kontext von Data Science und Künstlicher Intelligenz. Im Zentrum stehen Data & Statistical Literacy, Datenqualität und -ethik, die Verbindung von Statistik und Machine Learning sowie die Stärkung einer eigenständigen Statistikdidaktik. Die Diskussionsbeiträge erweitern diese Perspektiven: Christina Elmer betont Wissenschaftskommunikation und AI Literacy, Helmut Küchenhoff projektbasiertes Lernen und Datenschutz, Christoph Weisser die industrielle Praxis und organisationsweite Datenkompetenz, Göran Kauermann die Verzahnung von Statistik und Data Science, und Rolf Biehler sowie Karin Binder die didaktische und institutionelle Weiterentwicklung. Die Replik greift diese Impulse auf und unterstreicht die interdisziplinäre Verantwortung für eine zukunftsfähige Statistikausbildung.}, author = {Berger, Ursula and Biehler, Rolf and Binder, Karin and Elmer, Christina and Ertz, Florian and Hotz, Thomas and Huber, Sarah and Ickstadt, Katja and Kauermann, Göran and Küchenhoff, Helmut and Lübke, Karsten and Münnich, Ralf and Schüller, Katharina and Skill, Thomas and Weihs, Claus and Weinert, Henrike and Weisser, Christoph}, issn = {1863-8163}, journal = {AStA Wirtschafts- und Sozialstatistisches Archiv}, publisher = {Springer}, title = {{Daten, Künstliche Intelligenz und Evidenz - neue Anforderungen an die Statistikausbildung an Hochschulen: Diskussion und Erwiderung}}, doi = {10.1007/s11943-026-00372-0}, year = {2026}, } @article{6957, author = {Amorin, Alvaro Paredes and Python, Andre and Weisser, Christoph}, journal = {LREC 2026 - The Fifteenth biennial Language Resources and Evaluation Conference - Financial Narrative Processing (FNP) Workshop}, title = {{Not All News Is Equal: Topic- and Event-Conditional Sentiment From Finetuned LLMs for Aluminum Price Forecasting}}, doi = {10.48550/arXiv.2603.09085}, year = {2026}, } @article{6959, author = {Schlee, Michael and Kivimaki, Timo and Mashiku, Melchizedek and Weisser, Christoph and Säfken, Benjamin}, journal = {LREC 2026 - The Fifteenth biennial Language Resources and Evaluation Conference - Financial Narrative Processing (FNP) Workshop}, title = {{LabelFusion: Fusing Large Language Models With Transformer Encoders for Robust Financial News Classification}}, doi = {10.48550/arXiv.2512.10793}, year = {2026}, } @article{6961, author = {Lukassen, Fabian and Herrmann, Jan and Weisser, Christoph and Säfken, Benjamin and Kneib, Thomas}, journal = {Preprint}, publisher = {Arxiv}, title = {{From XAI to Stories: A Factorial Study of LLM-Generated Explanation Quality}}, doi = {10.48550/arXiv.2601.02224}, year = {2026}, } @article{6960, author = {Lukassen, Fabian and Weisser, Christoph and Schlee, Michael and Kumar, Manish and Thielmann, Anton and Säfken, Benjamin and Kneib, Thomas and Silbersdorff, Alexander}, journal = {Preprint}, publisher = {Arxiv}, title = {{LLM-Augmented Change Point Detection: A Methodological Framework for Ensemble Detection and Automated Explanation}}, doi = {10.48550/arXiv.2601.02957}, year = {2026}, } @article{6958, author = {Kumar, Manish and Thielmann, Anton Frederik and Weisser, Christoph and Säfken, Benjamin}, journal = {Preprint}, publisher = {Arxiv}, title = {{From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Learning}}, doi = {10.48550/arXiv.2604.05635 }, year = {2026}, } @article{6962, author = {Amorin, Alvaro Paredes and Python, Andre and Weisser, Christoph}, journal = {Preprint}, publisher = {Arxiv}, title = {{Fine-Tuning of Lightweight Large Language Models for Sentiment Classification on Heterogeneous Financial Textual Data}}, doi = {10.48550/arXiv.2512.00946}, year = {2025}, } @inproceedings{6966, author = {Semnani, Parastoo and Bogojeski, Mihail and Bley, Florian and Zhang, Zizheng and Wu, Qiong and Kneib, Thomas and Herrmann, Jan and Weisser, Christoph and Müller, Klaus Robert}, location = {Copenhagen, Denmark}, publisher = {Openreview}, title = {{From Prediction to Proposal in Catalysis: Robust Evaluation, LRP Explanations, and Relevance-Guided Candidate Generation}}, year = {2025}, } @article{6920, author = {Reuter, Arik and Thielmann, Anton and Weisser, Christoph and Säfken, Benjamin and Kneib, Thomas}, issn = {2162-2388 }, journal = {IEEE Transactions on Neural Networks and Learning Systems}, number = {8}, pages = {14551 -- 14565}, publisher = {IEEE}, title = {{Probabilistic Topic Modelling With Transformer Representations}}, doi = {10.1109/TNNLS.2025.3538262}, volume = {36}, year = {2025}, } @article{6919, author = {Kant, Gillian and Alkaher, Talip and Kivimaki, Timo and Weisser, Christoph}, issn = {1556-1836}, journal = {Terrorism and Political Violence}, publisher = {Taylor & Francis}, title = {{The Word and the Bullet: Out-Grouping and Threat Framing as Predictors of Islamic State Targeting, 2015-2020}}, doi = {10.1080/09546553.2025.2561194}, year = {2025}, } @inproceedings{6942, author = {Thielmann, Anton and Weisser, Christoph and Säfken, Benjamin}, booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING)}, editor = {Calzolari, Nicoletta and Kan, Min-Yen and Hoste, Veronique and Lenci, Alessandro and Sakti, Sakriani and Xue , Nianwen }, location = {Torino, Italia}, pages = {8395--8405}, publisher = {Elra And Iccl}, title = {{Human in the Loop: How to Effectively Create Coherent Topics by Manually Labelling Only a Few Documents per Class}}, year = {2024}, } @article{6963, author = {Thielmann, Anton Frederik and Kumar, Manish and Weisser, Christoph and Reuter, Arik and Säfken, Benjamin and Samiee, Soheila}, journal = {Preprint}, publisher = {Arxiv}, title = {{Mambular: A Sequential Model for Tabular Deep Learning}}, doi = {10.48550/arXiv.2408.06291}, year = {2024}, } @article{6964, author = {Reuter, Arik and Thielmann, Anton and Weisser, Christoph and Fischer, Sebastian and Säfken, Benjamin and Khadka, Bishnu}, journal = {Preprint}, publisher = {Arxiv}, title = {{GPTopic: Dynamic and Interactive Topic Representations}}, doi = {10.48550/arXiv.2403.03628}, year = {2024}, } @article{6965, author = {Stemmler, Henry and Lenel, Friederike and Kis-Katos, Krisztina and Weisser, Christoph}, journal = {Preprint}, publisher = {Ssrn}, title = {{Solar Technology as a Shock-Coping Device: Evidence From Rural Tanzania}}, doi = {10.2139/ssrn.5046518}, year = {2024}, } @article{6943, author = {Kant, Gillian and Zhelyazkov, Ivan and Thielmann, Anton and Weisser, Christoph and Schlee, Michael and Ehrling, Christoph and Säfken, Benjamin and Kneib, Thomas}, issn = {1869-5469}, journal = {Social Network Analysis and Mining}, publisher = {Springer}, title = {{One-Way Ticket to the Moon? An NLP-Based Insight on the Phenomenon of Small-Scale Neo-Broker Trading}}, doi = {10.1007/s13278-024-01273-2}, volume = {14}, year = {2024}, } @inproceedings{6922, author = {Thielmann, Anton Frederik and Reuter, Arik and Weisser, Christoph and Säfken, Benjamin and Kant, Gillian and Kumar, Manish }, booktitle = {Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), Volume 2: Short Papers}, editor = {Ku, Lun-Wei and Martins, Andre and Srikumar, Vivek }, location = {Bangkok, Thailand}, pages = {435--444}, publisher = {Association For Computational Linguistics}, title = {{STREAM: Simplified Topic Retrieval, Exploration, and Analysis Module}}, doi = {10.18653/v1/2024.acl-short.41}, volume = {2}, year = {2024}, } @article{6921, author = {Semnani, Parastoo and Bogojeski, Mihail and Bley, Florian and Zhang, Zizheng and Wu, Qiong and Kneib, Thomas and Herrmann, Jan and Weisser, Christoph and Patcas, Florina and Müller, Klaus-Robert}, issn = {1932-7455}, journal = {Journal of Physical Chemistry C}, number = {50}, pages = {21349--21367}, title = {{A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery}}, doi = {10.1021/acs.jpcc.4c05332}, volume = {128}, year = {2024}, } @article{6944, author = {Weisser, Christoph and Gerloff, Christoph and Thielmann, Anton and Säfken, Benjamin and Python, Andre and Kneib, Thomas and Reuter, Arik}, issn = {1613-9658}, journal = {Computational Statistics}, number = {4}, pages = {647--674}, publisher = {Springer}, title = {{Pseudo-Document Simulation Method for Topic Model Evaluation on Short and Sparse Text Using Twitter Data}}, doi = {10.1007/s00180-022-01246-z}, volume = {38}, year = {2023}, } @article{6967, author = {Buchmüller, Andreas and Kant, Gillian and Weisser, Christoph and Säfken, Benjamin and Kis-Katos, Krisztina and Kneib, Thomas}, journal = {Preprint}, publisher = {Arxiv}, title = {{Twitmo: A Twitter Data Topic Modeling and Visualization Package for R}}, doi = {10.48550/arXiv.2207.11236}, year = {2022}, }