[{"_id":"7066","year":"2026","language":[{"iso":"eng"}],"citation":{"mla":"Lukassen, Fabian, et al. “CAFE: A Compound-AI Factorial Evaluation Framework.” <i>Preprint</i>, arxiv, 2026, doi:<a href=\"https://doi.org/10.48550/arXiv.2607.10380\">10.48550/arXiv.2607.10380</a>.","ama":"Lukassen F, Weisser C, Kneib T, Silbersdorff A. CAFE: A Compound-AI Factorial Evaluation Framework. <i>Preprint</i>. 2026. doi:<a href=\"https://doi.org/10.48550/arXiv.2607.10380\">10.48550/arXiv.2607.10380</a>","short":"F. Lukassen, C. Weisser, T. Kneib, A. Silbersdorff, Preprint (2026).","chicago":"Lukassen, Fabian, Christoph Weisser, Thomas Kneib, and Alexander Silbersdorff. “CAFE: A Compound-AI Factorial Evaluation Framework.” <i>Preprint</i>, 2026. <a href=\"https://doi.org/10.48550/arXiv.2607.10380\">https://doi.org/10.48550/arXiv.2607.10380</a>.","alphadin":"<span style=\"font-variant:small-caps;\">Lukassen, Fabian</span> ; <span style=\"font-variant:small-caps;\">Weisser, Christoph</span> ; <span style=\"font-variant:small-caps;\">Kneib, Thomas</span> ; <span style=\"font-variant:small-caps;\">Silbersdorff, Alexander</span>: CAFE: A Compound-AI Factorial Evaluation Framework. In: <i>Preprint</i>, arxiv (2026)","bibtex":"@article{Lukassen_Weisser_Kneib_Silbersdorff_2026, title={CAFE: A Compound-AI Factorial Evaluation Framework}, DOI={<a href=\"https://doi.org/10.48550/arXiv.2607.10380\">10.48550/arXiv.2607.10380</a>}, journal={Preprint}, publisher={arxiv}, author={Lukassen, Fabian and Weisser, Christoph and Kneib, Thomas and Silbersdorff, Alexander}, year={2026} }","apa":"Lukassen, F., Weisser, C., Kneib, T., &#38; Silbersdorff, A. (2026). CAFE: A Compound-AI Factorial Evaluation Framework. <i>Preprint</i>. <a href=\"https://doi.org/10.48550/arXiv.2607.10380\">https://doi.org/10.48550/arXiv.2607.10380</a>","ieee":"F. Lukassen, C. Weisser, T. Kneib, and A. Silbersdorff, “CAFE: A Compound-AI Factorial Evaluation Framework,” <i>Preprint</i>, 2026."},"author":[{"first_name":"Fabian","last_name":"Lukassen","full_name":"Lukassen, Fabian"},{"first_name":"Christoph","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-0616-1027/work/220971488","id":"264138","last_name":"Weisser","orcid":"0000-0003-0616-1027","full_name":"Weisser, Christoph"},{"last_name":"Kneib","full_name":"Kneib, Thomas","first_name":"Thomas"},{"first_name":"Alexander","last_name":"Silbersdorff","full_name":"Silbersdorff, Alexander"}],"status":"public","doi":"10.48550/arXiv.2607.10380","date_updated":"2026-07-17T07:51:15Z","publisher":"arxiv","type":"journal_article","user_id":"220548","publication":"Preprint","date_created":"2026-07-16T11:47:16Z","title":"CAFE: A Compound-AI Factorial Evaluation Framework"},{"language":[{"iso":"ger"}],"_id":"6924","year":"2026","abstract":[{"text":"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.\r\n\r\nDie 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.\r\n\r\nDie Replik greift diese Impulse auf und unterstreicht die interdisziplinäre Verantwortung für eine zukunftsfähige Statistikausbildung.","lang":"ger"},{"lang":"eng","text":"The position paper formulates nine theses on the future development of statistics education in the context of Data Science and Artificial Intelligence. It emphasizes Data & Statistical Literacy, data quality and ethics, the integration of statistics and machine learning, and the strengthening of an independent didactics of statistics.\r\n\r\nThe discussion contributions broaden these perspectives: Christina Elmer highlights science communication and AI literacy; Helmut Küchenhoff emphasizes project-based learning and data protection; Christoph Weisser stresses industrial practice and organization-wide data competence; Göran Kauermann reflects on the interplay between statistics and data science; and Rolf Biehler and Karin Binder focus on didactical and institutional development.\r\n\r\nThe rejoinder takes up these impulses and underlines the interdisciplinary responsibility for shaping future-oriented statistics education."}],"status":"public","author":[{"first_name":"Ursula","full_name":"Berger, Ursula","last_name":"Berger"},{"first_name":"Rolf","last_name":"Biehler","full_name":"Biehler, Rolf"},{"first_name":"Karin","full_name":"Binder, Karin","last_name":"Binder"},{"first_name":"Christina","last_name":"Elmer","full_name":"Elmer, Christina"},{"full_name":"Ertz, Florian","last_name":"Ertz","first_name":"Florian"},{"full_name":"Hotz, Thomas","last_name":"Hotz","first_name":"Thomas"},{"last_name":"Huber","full_name":"Huber, Sarah","first_name":"Sarah"},{"first_name":"Katja","last_name":"Ickstadt","full_name":"Ickstadt, Katja"},{"first_name":"Göran","full_name":"Kauermann, Göran","last_name":"Kauermann"},{"full_name":"Küchenhoff, Helmut","last_name":"Küchenhoff","first_name":"Helmut"},{"first_name":"Karsten","full_name":"Lübke, Karsten","last_name":"Lübke"},{"first_name":"Ralf","full_name":"Münnich, Ralf","last_name":"Münnich"},{"full_name":"Schüller, Katharina","last_name":"Schüller","first_name":"Katharina"},{"first_name":"Thomas","full_name":"Skill, Thomas","last_name":"Skill"},{"full_name":"Weihs, Claus","last_name":"Weihs","first_name":"Claus"},{"first_name":"Henrike","last_name":"Weinert","full_name":"Weinert, Henrike"},{"first_name":"Christoph","id":"264138","last_name":"Weisser","orcid":"0000-0003-0616-1027","full_name":"Weisser, Christoph"}],"citation":{"ieee":"U. Berger <i>et al.</i>, “Daten, Künstliche Intelligenz und Evidenz - neue Anforderungen an die Statistikausbildung an Hochschulen: Diskussion und Erwiderung,” <i>AStA Wirtschafts- und Sozialstatistisches Archiv</i>, 2026.","alphadin":"<span style=\"font-variant:small-caps;\"><span style=\"font-variant:small-caps;\">Berger, Ursula</span> ; <span style=\"font-variant:small-caps;\">Biehler, Rolf</span> ; <span style=\"font-variant:small-caps;\">Binder, Karin</span> ; <span style=\"font-variant:small-caps;\">Elmer, Christina</span> ; <span style=\"font-variant:small-caps;\">Ertz, Florian</span> ; <span style=\"font-variant:small-caps;\">Hotz, Thomas</span> ; <span style=\"font-variant:small-caps;\">Huber, Sarah</span> ; <span style=\"font-variant:small-caps;\">Ickstadt, Katja</span> ; u. a.</span>: Daten, Künstliche Intelligenz und Evidenz - neue Anforderungen an die Statistikausbildung an Hochschulen: Diskussion und Erwiderung. In: <i>AStA Wirtschafts- und Sozialstatistisches Archiv</i>, Springer (2026)","bibtex":"@article{Berger_Biehler_Binder_Elmer_Ertz_Hotz_Huber_Ickstadt_Kauermann_Küchenhoff_et al._2026, title={Daten, Künstliche Intelligenz und Evidenz - neue Anforderungen an die Statistikausbildung an Hochschulen: Diskussion und Erwiderung}, DOI={<a href=\"https://doi.org/10.1007/s11943-026-00372-0\">10.1007/s11943-026-00372-0</a>}, journal={AStA Wirtschafts- und Sozialstatistisches Archiv}, publisher={Springer}, 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 et al.}, year={2026} }","apa":"Berger, U., Biehler, R., Binder, K., Elmer, C., Ertz, F., Hotz, T., … Weisser, C. (2026). Daten, Künstliche Intelligenz und Evidenz - neue Anforderungen an die Statistikausbildung an Hochschulen: Diskussion und Erwiderung. <i>AStA Wirtschafts- und Sozialstatistisches Archiv</i>. <a href=\"https://doi.org/10.1007/s11943-026-00372-0\">https://doi.org/10.1007/s11943-026-00372-0</a>","chicago":"Berger, Ursula, Rolf Biehler, Karin Binder, Christina Elmer, Florian Ertz, Thomas Hotz, Sarah Huber, et al. “Daten, Künstliche Intelligenz und Evidenz - neue Anforderungen an die Statistikausbildung an Hochschulen: Diskussion und Erwiderung.” <i>AStA Wirtschafts- und Sozialstatistisches Archiv</i>, 2026. <a href=\"https://doi.org/10.1007/s11943-026-00372-0\">https://doi.org/10.1007/s11943-026-00372-0</a>.","short":"U. Berger, R. Biehler, K. Binder, C. Elmer, F. Ertz, T. Hotz, S. Huber, K. Ickstadt, G. Kauermann, H. Küchenhoff, K. Lübke, R. Münnich, K. Schüller, T. Skill, C. Weihs, H. Weinert, C. Weisser, AStA Wirtschafts- und Sozialstatistisches Archiv (2026).","mla":"Berger, Ursula, et al. “Daten, Künstliche Intelligenz und Evidenz - neue Anforderungen an die Statistikausbildung an Hochschulen: Diskussion und Erwiderung.” <i>AStA Wirtschafts- und Sozialstatistisches Archiv</i>, Springer, 2026, doi:<a href=\"https://doi.org/10.1007/s11943-026-00372-0\">10.1007/s11943-026-00372-0</a>.","ama":"Berger U, Biehler R, Binder K, et al. Daten, Künstliche Intelligenz und Evidenz - neue Anforderungen an die Statistikausbildung an Hochschulen: Diskussion und Erwiderung. <i>AStA Wirtschafts- und Sozialstatistisches Archiv</i>. 2026. doi:<a href=\"https://doi.org/10.1007/s11943-026-00372-0\">10.1007/s11943-026-00372-0</a>"},"date_updated":"2026-07-16T15:20:37Z","publisher":"Springer","doi":"10.1007/s11943-026-00372-0","alternative_id":["7067"],"main_file_link":[{"open_access":"1"}],"user_id":"220548","oa":"1","type":"journal_article","publication_identifier":{"eissn":["1863-8163"],"issn":["1863-8155"]},"publication":"AStA Wirtschafts- und Sozialstatistisches Archiv","publication_status":"published","quality_controlled":"1","date_created":"2026-05-28T11:24:42Z","title":"Daten, Künstliche Intelligenz und Evidenz - neue Anforderungen an die Statistikausbildung an Hochschulen: Diskussion und Erwiderung","article_type":"letter_note"},{"date_created":"2026-06-01T14:03:16Z","title":"Not All News Is Equal: Topic- and Event-Conditional Sentiment From Finetuned LLMs for Aluminum Price Forecasting","publication":"LREC 2026 - The Fifteenth biennial Language Resources and Evaluation Conference - Financial Narrative Processing (FNP) Workshop","publication_status":"published","main_file_link":[{"open_access":"1"}],"user_id":"264138","oa":"1","type":"journal_article","date_updated":"2026-07-16T11:53:34Z","doi":"10.48550/arXiv.2603.09085","status":"public","citation":{"ieee":"A. P. Amorin, A. Python, and C. Weisser, “Not All News Is Equal: Topic- and Event-Conditional Sentiment From Finetuned LLMs for Aluminum Price Forecasting,” <i>LREC 2026 - The Fifteenth biennial Language Resources and Evaluation Conference - Financial Narrative Processing (FNP) Workshop</i>, 2026.","alphadin":"<span style=\"font-variant:small-caps;\">Amorin, Alvaro Paredes</span> ; <span style=\"font-variant:small-caps;\">Python, Andre</span> ; <span style=\"font-variant:small-caps;\">Weisser, Christoph</span>: Not All News Is Equal: Topic- and Event-Conditional Sentiment From Finetuned LLMs for Aluminum Price Forecasting. In: <i>LREC 2026 - The Fifteenth biennial Language Resources and Evaluation Conference - Financial Narrative Processing (FNP) Workshop</i> (2026)","apa":"Amorin, A. P., Python, A., &#38; Weisser, C. (2026). Not All News Is Equal: Topic- and Event-Conditional Sentiment From Finetuned LLMs for Aluminum Price Forecasting. <i>LREC 2026 - The Fifteenth Biennial Language Resources and Evaluation Conference - Financial Narrative Processing (FNP) Workshop</i>. <a href=\"https://doi.org/10.48550/arXiv.2603.09085\">https://doi.org/10.48550/arXiv.2603.09085</a>","bibtex":"@article{Amorin_Python_Weisser_2026, title={Not All News Is Equal: Topic- and Event-Conditional Sentiment From Finetuned LLMs for Aluminum Price Forecasting}, DOI={<a href=\"https://doi.org/10.48550/arXiv.2603.09085\">10.48550/arXiv.2603.09085</a>}, journal={LREC 2026 - The Fifteenth biennial Language Resources and Evaluation Conference - Financial Narrative Processing (FNP) Workshop}, author={Amorin, Alvaro Paredes and Python, Andre and Weisser, Christoph}, year={2026} }","short":"A.P. Amorin, A. Python, C. Weisser, LREC 2026 - The Fifteenth Biennial Language Resources and Evaluation Conference - Financial Narrative Processing (FNP) Workshop (2026).","chicago":"Amorin, Alvaro Paredes, Andre Python, and Christoph Weisser. “Not All News Is Equal: Topic- and Event-Conditional Sentiment From Finetuned LLMs for Aluminum Price Forecasting.” <i>LREC 2026 - The Fifteenth Biennial Language Resources and Evaluation Conference - Financial Narrative Processing (FNP) Workshop</i>, 2026. <a href=\"https://doi.org/10.48550/arXiv.2603.09085\">https://doi.org/10.48550/arXiv.2603.09085</a>.","mla":"Amorin, Alvaro Paredes, et al. “Not All News Is Equal: Topic- and Event-Conditional Sentiment From Finetuned LLMs for Aluminum Price Forecasting.” <i>LREC 2026 - The Fifteenth Biennial Language Resources and Evaluation Conference - Financial Narrative Processing (FNP) Workshop</i>, 2026, doi:<a href=\"https://doi.org/10.48550/arXiv.2603.09085\">10.48550/arXiv.2603.09085</a>.","ama":"Amorin AP, Python A, Weisser C. Not All News Is Equal: Topic- and Event-Conditional Sentiment From Finetuned LLMs for Aluminum Price Forecasting. <i>LREC 2026 - The Fifteenth biennial Language Resources and Evaluation Conference - Financial Narrative Processing (FNP) Workshop</i>. 2026. doi:<a href=\"https://doi.org/10.48550/arXiv.2603.09085\">10.48550/arXiv.2603.09085</a>"},"author":[{"full_name":"Amorin, Alvaro Paredes","last_name":"Amorin","first_name":"Alvaro Paredes"},{"last_name":"Python","full_name":"Python, Andre","first_name":"Andre"},{"first_name":"Christoph","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-0616-1027/work/216498074","id":"264138","orcid":"0000-0003-0616-1027","full_name":"Weisser, Christoph","last_name":"Weisser"}],"language":[{"iso":"eng"}],"_id":"6957","year":"2026"},{"language":[{"iso":"eng"}],"_id":"6959","year":"2026","status":"public","citation":{"mla":"Schlee, Michael, et al. “LabelFusion: Fusing Large Language Models With Transformer Encoders for Robust Financial News Classification.” <i>LREC 2026 - The Fifteenth Biennial Language Resources and Evaluation Conference - Financial Narrative Processing (FNP) Workshop</i>, 2026, doi:<a href=\"https://doi.org/10.48550/arXiv.2512.10793\">10.48550/arXiv.2512.10793</a>.","ama":"Schlee M, Kivimaki T, Mashiku  Melchizedek, Weisser C, Säfken B. LabelFusion: Fusing Large Language Models With Transformer Encoders for Robust Financial News Classification. <i>LREC 2026 - The Fifteenth biennial Language Resources and Evaluation Conference - Financial Narrative Processing (FNP) Workshop</i>. 2026. doi:<a href=\"https://doi.org/10.48550/arXiv.2512.10793\">10.48550/arXiv.2512.10793</a>","chicago":"Schlee, Michael, Timo Kivimaki,  Melchizedek Mashiku, Christoph Weisser, and Benjamin Säfken. “LabelFusion: Fusing Large Language Models With Transformer Encoders for Robust Financial News Classification.” <i>LREC 2026 - The Fifteenth Biennial Language Resources and Evaluation Conference - Financial Narrative Processing (FNP) Workshop</i>, 2026. <a href=\"https://doi.org/10.48550/arXiv.2512.10793\">https://doi.org/10.48550/arXiv.2512.10793</a>.","short":"M. Schlee, T. Kivimaki,  Melchizedek Mashiku, C. Weisser, B. Säfken, LREC 2026 - The Fifteenth Biennial Language Resources and Evaluation Conference - Financial Narrative Processing (FNP) Workshop (2026).","alphadin":"<span style=\"font-variant:small-caps;\">Schlee, Michael</span> ; <span style=\"font-variant:small-caps;\">Kivimaki, Timo</span> ; <span style=\"font-variant:small-caps;\">Mashiku,  Melchizedek</span> ; <span style=\"font-variant:small-caps;\">Weisser, Christoph</span> ; <span style=\"font-variant:small-caps;\">Säfken, Benjamin</span>: LabelFusion: Fusing Large Language Models With Transformer Encoders for Robust Financial News Classification. In: <i>LREC 2026 - The Fifteenth biennial Language Resources and Evaluation Conference - Financial Narrative Processing (FNP) Workshop</i> (2026)","bibtex":"@article{Schlee_Kivimaki_Mashiku_Weisser_Säfken_2026, title={LabelFusion: Fusing Large Language Models With Transformer Encoders for Robust Financial News Classification}, DOI={<a href=\"https://doi.org/10.48550/arXiv.2512.10793\">10.48550/arXiv.2512.10793</a>}, journal={LREC 2026 - The Fifteenth biennial Language Resources and Evaluation Conference - Financial Narrative Processing (FNP) Workshop}, author={Schlee, Michael and Kivimaki, Timo and Mashiku,  Melchizedek and Weisser, Christoph and Säfken, Benjamin}, year={2026} }","apa":"Schlee, M., Kivimaki, T., Mashiku,  Melchizedek, Weisser, C., &#38; Säfken, B. (2026). LabelFusion: Fusing Large Language Models With Transformer Encoders for Robust Financial News Classification. <i>LREC 2026 - The Fifteenth Biennial Language Resources and Evaluation Conference - Financial Narrative Processing (FNP) Workshop</i>. <a href=\"https://doi.org/10.48550/arXiv.2512.10793\">https://doi.org/10.48550/arXiv.2512.10793</a>","ieee":"M. Schlee, T. Kivimaki,  Melchizedek Mashiku, C. Weisser, and B. Säfken, “LabelFusion: Fusing Large Language Models With Transformer Encoders for Robust Financial News Classification,” <i>LREC 2026 - The Fifteenth biennial Language Resources and Evaluation Conference - Financial Narrative Processing (FNP) Workshop</i>, 2026."},"author":[{"first_name":"Michael","full_name":"Schlee, Michael","last_name":"Schlee"},{"last_name":"Kivimaki","full_name":"Kivimaki, Timo","first_name":"Timo"},{"full_name":"Mashiku,  Melchizedek","last_name":"Mashiku","first_name":" Melchizedek"},{"first_name":"Christoph","id":"264138","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-0616-1027/work/216498396","orcid":"0000-0003-0616-1027","full_name":"Weisser, Christoph","last_name":"Weisser"},{"full_name":"Säfken, Benjamin","last_name":"Säfken","first_name":"Benjamin"}],"date_updated":"2026-07-16T11:52:22Z","doi":"10.48550/arXiv.2512.10793","main_file_link":[{"open_access":"1"}],"user_id":"264138","oa":"1","type":"journal_article","publication_status":"published","publication":"LREC 2026 - The Fifteenth biennial Language Resources and Evaluation Conference - Financial Narrative Processing (FNP) Workshop","date_created":"2026-06-01T14:04:19Z","title":"LabelFusion: Fusing Large Language Models With Transformer Encoders for Robust Financial News Classification"},{"publication_status":"published","publication":"Preprint","user_id":"220548","type":"journal_article","title":"From XAI to Stories: A Factorial Study of LLM-Generated Explanation Quality","date_created":"2026-06-01T14:05:15Z","language":[{"iso":"eng"}],"year":"2026","_id":"6961","publisher":"Arxiv","date_updated":"2026-06-02T13:38:22Z","doi":"10.48550/arXiv.2601.02224","status":"public","author":[{"first_name":"Fabian","last_name":"Lukassen","full_name":"Lukassen, Fabian"},{"first_name":"Jan","full_name":"Herrmann, Jan","last_name":"Herrmann"},{"orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-0616-1027/work/216498751","id":"264138","first_name":"Christoph","full_name":"Weisser, Christoph","orcid":"0000-0003-0616-1027","last_name":"Weisser"},{"first_name":"Benjamin","last_name":"Säfken","full_name":"Säfken, Benjamin"},{"first_name":"Thomas","full_name":"Kneib, Thomas","last_name":"Kneib"}],"citation":{"short":"F. Lukassen, J. Herrmann, C. Weisser, B. Säfken, T. Kneib, Preprint (2026).","chicago":"Lukassen, Fabian, Jan Herrmann, Christoph Weisser, Benjamin Säfken, and Thomas Kneib. “From XAI to Stories: A Factorial Study of LLM-Generated Explanation Quality.” <i>Preprint</i>, 2026. <a href=\"https://doi.org/10.48550/arXiv.2601.02224\">https://doi.org/10.48550/arXiv.2601.02224</a>.","mla":"Lukassen, Fabian, et al. “From XAI to Stories: A Factorial Study of LLM-Generated Explanation Quality.” <i>Preprint</i>, Arxiv, 2026, doi:<a href=\"https://doi.org/10.48550/arXiv.2601.02224\">10.48550/arXiv.2601.02224</a>.","ama":"Lukassen F, Herrmann J, Weisser C, Säfken B, Kneib T. From XAI to Stories: A Factorial Study of LLM-Generated Explanation Quality. <i>Preprint</i>. 2026. doi:<a href=\"https://doi.org/10.48550/arXiv.2601.02224\">10.48550/arXiv.2601.02224</a>","ieee":"F. Lukassen, J. Herrmann, C. Weisser, B. Säfken, and T. Kneib, “From XAI to Stories: A Factorial Study of LLM-Generated Explanation Quality,” <i>Preprint</i>, 2026.","alphadin":"<span style=\"font-variant:small-caps;\">Lukassen, Fabian</span> ; <span style=\"font-variant:small-caps;\">Herrmann, Jan</span> ; <span style=\"font-variant:small-caps;\">Weisser, Christoph</span> ; <span style=\"font-variant:small-caps;\">Säfken, Benjamin</span> ; <span style=\"font-variant:small-caps;\">Kneib, Thomas</span>: From XAI to Stories: A Factorial Study of LLM-Generated Explanation Quality. In: <i>Preprint</i>, Arxiv (2026)","bibtex":"@article{Lukassen_Herrmann_Weisser_Säfken_Kneib_2026, title={From XAI to Stories: A Factorial Study of LLM-Generated Explanation Quality}, DOI={<a href=\"https://doi.org/10.48550/arXiv.2601.02224\">10.48550/arXiv.2601.02224</a>}, journal={Preprint}, publisher={Arxiv}, author={Lukassen, Fabian and Herrmann, Jan and Weisser, Christoph and Säfken, Benjamin and Kneib, Thomas}, year={2026} }","apa":"Lukassen, F., Herrmann, J., Weisser, C., Säfken, B., &#38; Kneib, T. (2026). From XAI to Stories: A Factorial Study of LLM-Generated Explanation Quality. <i>Preprint</i>. <a href=\"https://doi.org/10.48550/arXiv.2601.02224\">https://doi.org/10.48550/arXiv.2601.02224</a>"}},{"publication_status":"published","publication":"Preprint","user_id":"220548","type":"journal_article","title":"LLM-Augmented Change Point Detection: A Methodological Framework for Ensemble Detection and Automated Explanation","date_created":"2026-06-01T14:04:53Z","language":[{"iso":"eng"}],"year":"2026","_id":"6960","publisher":"Arxiv","date_updated":"2026-06-02T13:36:39Z","doi":"10.48550/arXiv.2601.02957","status":"public","citation":{"alphadin":"<span style=\"font-variant:small-caps;\">Lukassen, Fabian</span> ; <span style=\"font-variant:small-caps;\">Weisser, Christoph</span> ; <span style=\"font-variant:small-caps;\">Schlee, Michael</span> ; <span style=\"font-variant:small-caps;\">Kumar, Manish</span> ; <span style=\"font-variant:small-caps;\">Thielmann, Anton</span> ; <span style=\"font-variant:small-caps;\">Säfken, Benjamin</span> ; <span style=\"font-variant:small-caps;\">Kneib, Thomas</span> ; <span style=\"font-variant:small-caps;\">Silbersdorff, Alexander</span>: LLM-Augmented Change Point Detection: A Methodological Framework for Ensemble Detection and Automated Explanation. 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Bangkok, thailand: Association For Computational Linguistics; 2024:435-444. doi:<a href=\"https://doi.org/10.18653/v1/2024.acl-short.41\">10.18653/v1/2024.acl-short.41</a>","mla":"Thielmann, Anton Frederik, et al. “STREAM: Simplified Topic Retrieval, Exploration, and Analysis Module.” <i>Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), Volume 2: Short Papers</i>, edited by Lun-Wei Ku et al., vol. 2, Association For Computational Linguistics, 2024, pp. 435–44, doi:<a href=\"https://doi.org/10.18653/v1/2024.acl-short.41\">10.18653/v1/2024.acl-short.41</a>."},"author":[{"full_name":"Thielmann, Anton Frederik","last_name":"Thielmann","first_name":"Anton Frederik"},{"last_name":"Reuter","full_name":"Reuter, Arik ","first_name":"Arik "},{"id":"264138","first_name":"Christoph","full_name":"Weisser, Christoph","last_name":"Weisser"},{"full_name":"Säfken, Benjamin ","last_name":"Säfken","first_name":"Benjamin "},{"full_name":"Kant, Gillian ","last_name":"Kant","first_name":"Gillian "},{"full_name":"Kumar, Manish ","last_name":"Kumar","first_name":"Manish "}],"place":"Bangkok, thailand","status":"public","conference":{"end_date":"2024-08-16","start_date":"2024-08-11","location":"Bangkok, Thailand","name":"62nd Annual Meeting of the Association for Computational Linguistics"},"doi":"10.18653/v1/2024.acl-short.41","intvolume":"         2","date_updated":"2026-05-29T07:40:38Z","publisher":"Association For Computational Linguistics","page":"435-444","type":"conference","user_id":"220548","publication_status":"published","publication":"Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), Volume 2: Short Papers","quality_controlled":"1","date_created":"2026-05-28T11:19:00Z","title":"STREAM: Simplified Topic Retrieval, Exploration, and Analysis Module","volume":2},{"status":"public","author":[{"full_name":"Semnani, Parastoo","last_name":"Semnani","first_name":"Parastoo"},{"first_name":"Mihail","full_name":"Bogojeski, Mihail","last_name":"Bogojeski"},{"first_name":"Florian","last_name":"Bley","full_name":"Bley, Florian"},{"last_name":"Zhang","full_name":"Zhang, Zizheng","first_name":"Zizheng"},{"last_name":"Wu","full_name":"Wu, Qiong","first_name":"Qiong"},{"last_name":"Kneib","full_name":"Kneib, Thomas","first_name":"Thomas"},{"first_name":"Jan","last_name":"Herrmann","full_name":"Herrmann, Jan"},{"first_name":"Christoph","id":"264138","full_name":"Weisser, Christoph","last_name":"Weisser"},{"last_name":"Patcas","full_name":"Patcas, Florina","first_name":"Florina"},{"full_name":"Müller, Klaus-Robert","last_name":"Müller","first_name":"Klaus-Robert"}],"citation":{"ieee":"P. 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