[{"file":[{"date_updated":"2025-09-11T09:26:18Z","date_created":"2025-09-11T09:26:18Z","creator":"meghdut","file_size":2189153,"file_id":"61194","access_level":"closed","file_name":"sengupta25-emnlp.pdf","content_type":"application/pdf","success":1,"relation":"main_file"}],"status":"public","type":"conference","publication":"Accepted in Findings ","ddc":["000"],"language":[{"iso":"eng"}],"file_date_updated":"2025-09-11T09:26:18Z","extern":"1","project":[{"_id":"127","name":"TRR 318; TP C04: Metaphern als Werkzeug des Erklärens"}],"_id":"61190","user_id":"99459","year":"2025","citation":{"chicago":"Sengupta, Meghdut, Maximilian  Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke  Hüllermeier, Debanjan Ghosh, and Henning Wachsmuth. “Investigating the Impact of Conceptual Metaphors on LLM-Based NLI through Shapley Interactions.” In <i>Accepted in Findings </i>. EMNLP , 2025.","ieee":"M. Sengupta <i>et al.</i>, “Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions,” presented at the Empirical Methods in Natural Language Processing (EMNLP 2025), 2025.","ama":"Sengupta M, Muschalik M, Fumagalli F, et al. Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions. In: <i>Accepted in Findings </i>. EMNLP ; 2025.","bibtex":"@inproceedings{Sengupta_Muschalik_Fumagalli_Hammer_Hüllermeier_Ghosh_Wachsmuth_2025, title={Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions}, booktitle={Accepted in Findings }, publisher={EMNLP }, author={Sengupta, Meghdut and Muschalik, Maximilian  and Fumagalli, Fabian and Hammer, Barbara and Hüllermeier, Eyke  and Ghosh, Debanjan and Wachsmuth, Henning}, year={2025} }","short":"M. Sengupta, M. Muschalik, F. Fumagalli, B. Hammer, E. Hüllermeier, D. Ghosh, H. Wachsmuth, in: Accepted in Findings , EMNLP , 2025.","mla":"Sengupta, Meghdut, et al. “Investigating the Impact of Conceptual Metaphors on LLM-Based NLI through Shapley Interactions.” <i>Accepted in Findings </i>, EMNLP , 2025.","apa":"Sengupta, M., Muschalik, M., Fumagalli, F., Hammer, B., Hüllermeier, E., Ghosh, D., &#38; Wachsmuth, H. (2025). Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions. <i>Accepted in Findings </i>. Empirical Methods in Natural Language Processing (EMNLP 2025)."},"has_accepted_license":"1","title":"Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions","conference":{"end_date":"2025-11-09","name":"Empirical Methods in Natural Language Processing (EMNLP 2025)","start_date":"2025-11-04"},"publisher":"EMNLP ","date_updated":"2025-09-11T09:28:23Z","author":[{"first_name":"Meghdut","id":"99459","full_name":"Sengupta, Meghdut","last_name":"Sengupta"},{"full_name":"Muschalik, Maximilian ","last_name":"Muschalik","first_name":"Maximilian "},{"full_name":"Fumagalli, Fabian","id":"93420","last_name":"Fumagalli","first_name":"Fabian"},{"full_name":"Hammer, Barbara","last_name":"Hammer","first_name":"Barbara"},{"last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke ","first_name":"Eyke "},{"full_name":"Ghosh, Debanjan","last_name":"Ghosh","first_name":"Debanjan"},{"last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","id":"3900","first_name":"Henning"}],"date_created":"2025-09-11T09:27:10Z"},{"title":"Fact Checking Knowledge Graphs -- A Survey","date_created":"2025-09-03T15:46:43Z","publisher":"Association for Computing Machinery (ACM)","year":"2025","quality_controlled":"1","language":[{"iso":"eng"}],"keyword":["fact checking","knowledge graphs","fact-checkers","check worthiness","evidence retrieval","trust","veracity."],"ddc":["006"],"external_id":{"unknown":["10.1145/3749838"]},"file":[{"content_type":"application/pdf","success":1,"relation":"main_file","date_updated":"2025-09-11T09:26:29Z","date_created":"2025-09-11T09:26:29Z","creator":"uqudus","file_size":1062387,"access_level":"closed","file_name":"3749838.pdf","file_id":"61195"}],"abstract":[{"lang":"eng","text":"<jats:p>Knowledge graphs are used by a growing number of applications to represent structured data. Hence, evaluating the veracity of assertions in knowledge graphs—dubbed fact checking—is currently a challenge of growing importance. However, manual fact checking is commonly impractical due to the sheer size of knowledge graphs. This paper is a systematic survey of recent works on automatic fact checking with a focus on knowledge graphs. We present recent fact-checking approaches, the varied sources they use as background knowledge, and the features they rely upon. Finally, we draw conclusions pertaining to possible future research directions in fact checking knowledge graphs.</jats:p>"}],"publication":"ACM Computing Surveys","doi":"10.1145/3749838","main_file_link":[{"open_access":"1","url":"https://dl.acm.org/doi/pdf/10.1145/3749838"}],"volume":58,"author":[{"first_name":"Umair","orcid":"0000-0001-6714-8729","last_name":"Qudus","full_name":"Qudus, Umair","id":"83392"},{"full_name":"Röder, Michael","id":"67199","last_name":"Röder","orcid":"https://orcid.org/0000-0002-8609-8277","first_name":"Michael"},{"first_name":"Muhammad","full_name":"Saleem, Muhammad","last_name":"Saleem"},{"last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille"}],"date_updated":"2025-09-11T09:30:28Z","oa":"1","intvolume":"        58","citation":{"mla":"Qudus, Umair, et al. “Fact Checking Knowledge Graphs -- A Survey.” <i>ACM Computing Surveys</i>, vol. 58, 3749838, Association for Computing Machinery (ACM), 2025, doi:<a href=\"https://doi.org/10.1145/3749838\">10.1145/3749838</a>.","short":"U. Qudus, M. Röder, M. Saleem, A.-C. Ngonga Ngomo, ACM Computing Surveys 58 (2025).","bibtex":"@article{Qudus_Röder_Saleem_Ngonga Ngomo_2025, title={Fact Checking Knowledge Graphs -- A Survey}, volume={58}, DOI={<a href=\"https://doi.org/10.1145/3749838\">10.1145/3749838</a>}, number={3749838}, journal={ACM Computing Surveys}, publisher={Association for Computing Machinery (ACM)}, author={Qudus, Umair and Röder, Michael and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille}, year={2025} }","apa":"Qudus, U., Röder, M., Saleem, M., &#38; Ngonga Ngomo, A.-C. (2025). Fact Checking Knowledge Graphs -- A Survey. <i>ACM Computing Surveys</i>, <i>58</i>, Article 3749838. <a href=\"https://doi.org/10.1145/3749838\">https://doi.org/10.1145/3749838</a>","chicago":"Qudus, Umair, Michael Röder, Muhammad Saleem, and Axel-Cyrille Ngonga Ngomo. “Fact Checking Knowledge Graphs -- A Survey.” <i>ACM Computing Surveys</i> 58 (2025). <a href=\"https://doi.org/10.1145/3749838\">https://doi.org/10.1145/3749838</a>.","ieee":"U. Qudus, M. Röder, M. Saleem, and A.-C. Ngonga Ngomo, “Fact Checking Knowledge Graphs -- A Survey,” <i>ACM Computing Surveys</i>, vol. 58, Art. no. 3749838, 2025, doi: <a href=\"https://doi.org/10.1145/3749838\">10.1145/3749838</a>.","ama":"Qudus U, Röder M, Saleem M, Ngonga Ngomo A-C. Fact Checking Knowledge Graphs -- A Survey. <i>ACM Computing Surveys</i>. 2025;58. doi:<a href=\"https://doi.org/10.1145/3749838\">10.1145/3749838</a>"},"publication_identifier":{"issn":["0360-0300","1557-7341"]},"has_accepted_license":"1","publication_status":"published","file_date_updated":"2025-09-11T09:26:29Z","article_type":"original","article_number":"3749838","department":[{"_id":"574"}],"user_id":"83392","_id":"61123","status":"public","popular_science":"1","type":"journal_article"},{"title":"Logics with probabilistic team semantics and the Boolean negation","doi":"10.1093/logcom/exaf021","date_updated":"2025-09-11T10:00:26Z","publisher":"Oxford University Press (OUP)","author":[{"full_name":"Hannula, Miika","last_name":"Hannula","first_name":"Miika"},{"first_name":"Minna","full_name":"Hirvonen, Minna","last_name":"Hirvonen"},{"first_name":"Juha","full_name":"Kontinen, Juha","last_name":"Kontinen"},{"full_name":"Mahmood, Yasir","id":"99353","last_name":"Mahmood","first_name":"Yasir"},{"first_name":"Arne","full_name":"Meier, Arne","last_name":"Meier"},{"full_name":"Virtema, Jonni","last_name":"Virtema","first_name":"Jonni"}],"date_created":"2025-05-15T11:07:28Z","volume":35,"year":"2025","citation":{"short":"M. Hannula, M. Hirvonen, J. Kontinen, Y. Mahmood, A. Meier, J. Virtema, Journal of Logic and Computation 35 (2025).","mla":"Hannula, Miika, et al. “Logics with Probabilistic Team Semantics and the Boolean Negation.” <i>Journal of Logic and Computation</i>, vol. 35, no. 3, Oxford University Press (OUP), 2025, doi:<a href=\"https://doi.org/10.1093/logcom/exaf021\">10.1093/logcom/exaf021</a>.","bibtex":"@article{Hannula_Hirvonen_Kontinen_Mahmood_Meier_Virtema_2025, title={Logics with probabilistic team semantics and the Boolean negation}, volume={35}, DOI={<a href=\"https://doi.org/10.1093/logcom/exaf021\">10.1093/logcom/exaf021</a>}, number={3}, journal={Journal of Logic and Computation}, publisher={Oxford University Press (OUP)}, author={Hannula, Miika and Hirvonen, Minna and Kontinen, Juha and Mahmood, Yasir and Meier, Arne and Virtema, Jonni}, year={2025} }","apa":"Hannula, M., Hirvonen, M., Kontinen, J., Mahmood, Y., Meier, A., &#38; Virtema, J. (2025). Logics with probabilistic team semantics and the Boolean negation. <i>Journal of Logic and Computation</i>, <i>35</i>(3). <a href=\"https://doi.org/10.1093/logcom/exaf021\">https://doi.org/10.1093/logcom/exaf021</a>","ama":"Hannula M, Hirvonen M, Kontinen J, Mahmood Y, Meier A, Virtema J. Logics with probabilistic team semantics and the Boolean negation. <i>Journal of Logic and Computation</i>. 2025;35(3). doi:<a href=\"https://doi.org/10.1093/logcom/exaf021\">10.1093/logcom/exaf021</a>","ieee":"M. Hannula, M. Hirvonen, J. Kontinen, Y. Mahmood, A. Meier, and J. Virtema, “Logics with probabilistic team semantics and the Boolean negation,” <i>Journal of Logic and Computation</i>, vol. 35, no. 3, 2025, doi: <a href=\"https://doi.org/10.1093/logcom/exaf021\">10.1093/logcom/exaf021</a>.","chicago":"Hannula, Miika, Minna Hirvonen, Juha Kontinen, Yasir Mahmood, Arne Meier, and Jonni Virtema. “Logics with Probabilistic Team Semantics and the Boolean Negation.” <i>Journal of Logic and Computation</i> 35, no. 3 (2025). <a href=\"https://doi.org/10.1093/logcom/exaf021\">https://doi.org/10.1093/logcom/exaf021</a>."},"intvolume":"        35","publication_status":"published","publication_identifier":{"issn":["0955-792X","1465-363X"]},"issue":"3","language":[{"iso":"eng"}],"project":[{"_id":"121","name":"TRR 318; TP B01: Ein dialogbasierter Ansatz zur Erklärung von Modellen des maschinellen Lernens"}],"_id":"59912","user_id":"99353","department":[{"_id":"574"}],"abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title>\r\n               <jats:p>We study the expressivity and the complexity of various logics in probabilistic team semantics with the Boolean negation. In particular, we study the extension of probabilistic independence logic with the Boolean negation, and a recently introduced logic first-order theory of random variables with probabilistic independence. We give several results that compare the expressivity of these logics with the most studied logics in probabilistic team semantics setting, as well as relating their expressivity to a numerical variant of second-order logic. In addition, we introduce novel entropy atoms and show that the extension of first-order logic by entropy atoms subsumes probabilistic independence logic. Finally, we obtain some results on the complexity of model checking, validity and satisfiability of our logics.</jats:p>"}],"status":"public","type":"journal_article","publication":"Journal of Logic and Computation"},{"keyword":["firmansyah mousallem ngonga sherif zahera"],"language":[{"iso":"eng"}],"_id":"59054","department":[{"_id":"574"}],"user_id":"67234","series_title":"The Semantic Web","status":"public","publication":"ESWC2025","type":"conference","title":"ANTS: Abstractive Entity Summarization in Knowledge Graphs","conference":{"name":"ESWC 2025"},"doi":"10.1007/978-3-031-94575-5_8","publisher":"pringer Nature Switzerland","date_updated":"2025-09-11T10:00:44Z","date_created":"2025-03-17T13:41:48Z","author":[{"id":"76787","full_name":"Firmansyah, Asep Fajar","last_name":"Firmansyah","first_name":"Asep Fajar"},{"first_name":"Hamada Mohamed Abdelsamee","id":"72768","full_name":"Zahera, Hamada Mohamed Abdelsamee","last_name":"Zahera","orcid":"0000-0003-0215-1278"},{"last_name":"Sherif","orcid":"https://orcid.org/0000-0002-9927-2203","full_name":"Sherif, Mohamed","id":"67234","first_name":"Mohamed"},{"first_name":"Diego","full_name":"Moussallem, Diego","id":"71635","last_name":"Moussallem"},{"first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo"}],"year":"2025","page":"133--151","citation":{"chicago":"Firmansyah, Asep Fajar, Hamada Mohamed Abdelsamee Zahera, Mohamed Sherif, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “ANTS: Abstractive Entity Summarization in Knowledge Graphs.” In <i>ESWC2025</i>, 133--151. The Semantic Web. pringer Nature Switzerland, 2025. <a href=\"https://doi.org/10.1007/978-3-031-94575-5_8\">https://doi.org/10.1007/978-3-031-94575-5_8</a>.","ieee":"A. F. Firmansyah, H. M. A. Zahera, M. Sherif, D. Moussallem, and A.-C. Ngonga Ngomo, “ANTS: Abstractive Entity Summarization in Knowledge Graphs,” in <i>ESWC2025</i>, 2025, pp. 133--151, doi: <a href=\"https://doi.org/10.1007/978-3-031-94575-5_8\">10.1007/978-3-031-94575-5_8</a>.","ama":"Firmansyah AF, Zahera HMA, Sherif M, Moussallem D, Ngonga Ngomo A-C. ANTS: Abstractive Entity Summarization in Knowledge Graphs. In: <i>ESWC2025</i>. The Semantic Web. pringer Nature Switzerland; 2025:133--151. doi:<a href=\"https://doi.org/10.1007/978-3-031-94575-5_8\">10.1007/978-3-031-94575-5_8</a>","apa":"Firmansyah, A. F., Zahera, H. M. A., Sherif, M., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2025). ANTS: Abstractive Entity Summarization in Knowledge Graphs. <i>ESWC2025</i>, 133--151. <a href=\"https://doi.org/10.1007/978-3-031-94575-5_8\">https://doi.org/10.1007/978-3-031-94575-5_8</a>","short":"A.F. Firmansyah, H.M.A. Zahera, M. Sherif, D. Moussallem, A.-C. Ngonga Ngomo, in: ESWC2025, pringer Nature Switzerland, 2025, pp. 133--151.","mla":"Firmansyah, Asep Fajar, et al. “ANTS: Abstractive Entity Summarization in Knowledge Graphs.” <i>ESWC2025</i>, pringer Nature Switzerland, 2025, pp. 133--151, doi:<a href=\"https://doi.org/10.1007/978-3-031-94575-5_8\">10.1007/978-3-031-94575-5_8</a>.","bibtex":"@inproceedings{Firmansyah_Zahera_Sherif_Moussallem_Ngonga Ngomo_2025, series={The Semantic Web}, title={ANTS: Abstractive Entity Summarization in Knowledge Graphs}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-94575-5_8\">10.1007/978-3-031-94575-5_8</a>}, booktitle={ESWC2025}, publisher={pringer Nature Switzerland}, author={Firmansyah, Asep Fajar and Zahera, Hamada Mohamed Abdelsamee and Sherif, Mohamed and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2025}, pages={133--151}, collection={The Semantic Web} }"},"publication_identifier":{"isbn":["978-3-031-94575-5"]},"publication_status":"published"},{"citation":{"ama":"Fichte J, Fröhlich N, Hecher M, et al. Facets in Argumentation: A Formal Approach to Argument Significance. <i>arXiv:250510982</i>. Published online 2025.","ieee":"J. Fichte <i>et al.</i>, “Facets in Argumentation: A Formal Approach to Argument Significance,” <i>arXiv:2505.10982</i>. 2025.","chicago":"Fichte, Johannes, Nicolas Fröhlich, Markus Hecher, Victor Lagerkvist, Yasir Mahmood, Arne Meier, and Jonathan Persson. “Facets in Argumentation: A Formal Approach to Argument Significance.” <i>ArXiv:2505.10982</i>, 2025.","mla":"Fichte, Johannes, et al. “Facets in Argumentation: A Formal Approach to Argument Significance.” <i>ArXiv:2505.10982</i>, 2025.","short":"J. Fichte, N. Fröhlich, M. Hecher, V. Lagerkvist, Y. Mahmood, A. Meier, J. Persson, ArXiv:2505.10982 (2025).","bibtex":"@article{Fichte_Fröhlich_Hecher_Lagerkvist_Mahmood_Meier_Persson_2025, title={Facets in Argumentation: A Formal Approach to Argument Significance}, journal={arXiv:2505.10982}, author={Fichte, Johannes and Fröhlich, Nicolas and Hecher, Markus and Lagerkvist, Victor and Mahmood, Yasir and Meier, Arne and Persson, Jonathan}, year={2025} }","apa":"Fichte, J., Fröhlich, N., Hecher, M., Lagerkvist, V., Mahmood, Y., Meier, A., &#38; Persson, J. (2025). Facets in Argumentation: A Formal Approach to Argument Significance. In <i>arXiv:2505.10982</i>."},"year":"2025","author":[{"first_name":"Johannes","full_name":"Fichte, Johannes","last_name":"Fichte"},{"first_name":"Nicolas","full_name":"Fröhlich, Nicolas","last_name":"Fröhlich"},{"full_name":"Hecher, Markus","last_name":"Hecher","first_name":"Markus"},{"first_name":"Victor","full_name":"Lagerkvist, Victor","last_name":"Lagerkvist"},{"id":"99353","full_name":"Mahmood, Yasir","last_name":"Mahmood","first_name":"Yasir"},{"first_name":"Arne","full_name":"Meier, Arne","last_name":"Meier"},{"full_name":"Persson, Jonathan","last_name":"Persson","first_name":"Jonathan"}],"date_created":"2025-08-29T08:07:43Z","date_updated":"2025-09-11T09:58:34Z","title":"Facets in Argumentation: A Formal Approach to Argument Significance","type":"preprint","publication":"arXiv:2505.10982","status":"public","abstract":[{"lang":"eng","text":"Argumentation is a central subarea of Artificial Intelligence (AI) for\r\nmodeling and reasoning about arguments. The semantics of abstract argumentation\r\nframeworks (AFs) is given by sets of arguments (extensions) and conditions on\r\nthe relationship between them, such as stable or admissible. Today's solvers\r\nimplement tasks such as finding extensions, deciding credulous or skeptical\r\nacceptance, counting, or enumerating extensions. While these tasks are well\r\ncharted, the area between decision, counting/enumeration and fine-grained\r\nreasoning requires expensive reasoning so far. We introduce a novel concept\r\n(facets) for reasoning between decision and enumeration. Facets are arguments\r\nthat belong to some extensions (credulous) but not to all extensions\r\n(skeptical). They are most natural when a user aims to navigate, filter, or\r\ncomprehend the significance of specific arguments, according to their needs. We\r\nstudy the complexity and show that tasks involving facets are much easier than\r\ncounting extensions. Finally, we provide an implementation, and conduct\r\nexperiments to demonstrate feasibility."}],"user_id":"99353","department":[{"_id":"574"}],"project":[{"name":"TRR 318; TP B01: Ein dialogbasierter Ansatz zur Erklärung von Modellen des maschinellen Lernens","_id":"121"}],"_id":"61066","external_id":{"arxiv":["2505.10982"]},"language":[{"iso":"eng"}]},{"date_created":"2025-09-11T09:46:19Z","author":[{"full_name":"Rogge, Tim","last_name":"Rogge","first_name":"Tim"},{"last_name":"Herzig","full_name":"Herzig, Bardo","id":"217","first_name":"Bardo"}],"date_updated":"2025-09-11T09:59:23Z","publisher":"MDPI","title":"Enhancing Pre-Service Teachers' Reflective Competence Through Structured Video Annotation","issue":"15","publication_status":"published","publication_identifier":{"unknown":["https://www.mdpi.com/2227-7102/15/9/1146"]},"citation":{"mla":"Rogge, Tim, and Bardo Herzig. “Enhancing Pre-Service Teachers’ Reflective Competence Through Structured Video Annotation.” <i>Education Sciences</i>, no. 15, 1146, MDPI, 2025.","bibtex":"@article{Rogge_Herzig_2025, title={Enhancing Pre-Service Teachers’ Reflective Competence Through Structured Video Annotation}, number={151146}, journal={education sciences}, publisher={MDPI}, author={Rogge, Tim and Herzig, Bardo}, year={2025} }","short":"T. Rogge, B. Herzig, Education Sciences (2025).","apa":"Rogge, T., &#38; Herzig, B. (2025). Enhancing Pre-Service Teachers’ Reflective Competence Through Structured Video Annotation. <i>Education Sciences</i>, <i>15</i>, Article 1146.","ama":"Rogge T, Herzig B. Enhancing Pre-Service Teachers’ Reflective Competence Through Structured Video Annotation. <i>education sciences</i>. 2025;(15).","chicago":"Rogge, Tim, and Bardo Herzig. “Enhancing Pre-Service Teachers’ Reflective Competence Through Structured Video Annotation.” <i>Education Sciences</i>, no. 15 (2025).","ieee":"T. Rogge and B. Herzig, “Enhancing Pre-Service Teachers’ Reflective Competence Through Structured Video Annotation,” <i>education sciences</i>, no. 15, Art. no. 1146, 2025."},"year":"2025","user_id":"66956","department":[{"_id":"459"}],"_id":"61198","language":[{"iso":"eng"}],"article_number":"1146","type":"journal_article","publication":"education sciences","status":"public"},{"_id":"61150","project":[{"name":"TRR 318: Project Area INF","_id":"118"},{"_id":"112","name":"TRR 318; TP A02: Verstehensprozess einer Erklärung beobachten und auswerten"}],"department":[{"_id":"660"}],"user_id":"76456","extern":"1","type":"book_chapter","status":"public","oa":"1","date_updated":"2025-09-11T10:16:28Z","author":[{"first_name":"Meisam","full_name":"Booshehri, Meisam","id":"93424","last_name":"Booshehri"},{"id":"76456","full_name":"Buschmeier, Hendrik","last_name":"Buschmeier","orcid":"0000-0002-9613-5713","first_name":"Hendrik"},{"first_name":"Philipp","last_name":"Cimiano","full_name":"Cimiano, Philipp"}],"conference":{"location":"Catania, Italy","end_date":"2025-09-12","start_date":"2025-09-08","name":"15th International Conference on Formal Ontology in Information Systems"},"doi":"10.3233/faia250498","main_file_link":[{"url":"https://doi.org/10.3233/FAIA250498","open_access":"1"}],"publication_identifier":{"isbn":["9781643686172"],"issn":["0922-6389","1879-8314"]},"publication_status":"published","page":"255–268","citation":{"ieee":"M. Booshehri, H. Buschmeier, and P. Cimiano, “A BFO-based ontological analysis of entities in Social XAI,” in <i>Proceedings of the 15th International Conference on Formal Ontology in Information Systems</i>, IOS Press, 2025, pp. 255–268.","chicago":"Booshehri, Meisam, Hendrik Buschmeier, and Philipp Cimiano. “A BFO-Based Ontological Analysis of Entities in Social XAI.” In <i>Proceedings of the 15th International Conference on Formal Ontology in Information Systems</i>, 255–268. IOS Press, 2025. <a href=\"https://doi.org/10.3233/faia250498\">https://doi.org/10.3233/faia250498</a>.","ama":"Booshehri M, Buschmeier H, Cimiano P. A BFO-based ontological analysis of entities in Social XAI. In: <i>Proceedings of the 15th International Conference on Formal Ontology in Information Systems</i>. IOS Press; 2025:255–268. doi:<a href=\"https://doi.org/10.3233/faia250498\">10.3233/faia250498</a>","apa":"Booshehri, M., Buschmeier, H., &#38; Cimiano, P. (2025). A BFO-based ontological analysis of entities in Social XAI. In <i>Proceedings of the 15th International Conference on Formal Ontology in Information Systems</i> (pp. 255–268). IOS Press. <a href=\"https://doi.org/10.3233/faia250498\">https://doi.org/10.3233/faia250498</a>","mla":"Booshehri, Meisam, et al. “A BFO-Based Ontological Analysis of Entities in Social XAI.” <i>Proceedings of the 15th International Conference on Formal Ontology in Information Systems</i>, IOS Press, 2025, pp. 255–268, doi:<a href=\"https://doi.org/10.3233/faia250498\">10.3233/faia250498</a>.","short":"M. Booshehri, H. Buschmeier, P. Cimiano, in: Proceedings of the 15th International Conference on Formal Ontology in Information Systems, IOS Press, 2025, pp. 255–268.","bibtex":"@inbook{Booshehri_Buschmeier_Cimiano_2025, title={A BFO-based ontological analysis of entities in Social XAI}, DOI={<a href=\"https://doi.org/10.3233/faia250498\">10.3233/faia250498</a>}, booktitle={Proceedings of the 15th International Conference on Formal Ontology in Information Systems}, publisher={IOS Press}, author={Booshehri, Meisam and Buschmeier, Hendrik and Cimiano, Philipp}, year={2025}, pages={255–268} }"},"language":[{"iso":"eng"}],"publication":"Proceedings of the 15th International Conference on Formal Ontology in Information Systems","abstract":[{"lang":"eng","text":"Since the emergence of the field of eXplainable Artificial Intelligence (XAI), a growing number of researchers have argued that XAI should consider insights from the social sciences in order to adapt explanations to the expectations and needs of human users. This has led to the emergence of a field called Social XAI, which is concerned with understanding how explanations are actively shaped in the interaction between a human user and an AI system. Recognizing this turn in XAI toward making XAI systems more “social” by providing explanations that focus on human information needs and incorporating insights from human–human explanatory interactions, in this paper we provide a formal foundation for Social XAI. We do so by proposing novel ontological accounts of the key terms used in Social XAI based on Basic Formal Ontology (BFO). Specifically, we provide novel ontological accounts for explanandum, explanans, understanding, explanation, explainer, explainee, and context. In doing so, we discuss multifaceted entities in Social XAI (having both continuant and occurrent facets; e.g., explanation) and the relationship between understanding and explanation. Additionally, we propose solutions to seemingly paradoxical views on some terms (e.g., social constructivist vs. individual constructivist perspective on explanandum)."}],"publisher":"IOS Press","date_created":"2025-09-08T14:00:45Z","title":"A BFO-based ontological analysis of entities in Social XAI","quality_controlled":"1","year":"2025"},{"_id":"61202","user_id":"67234","department":[{"_id":"574"}],"keyword":["becker sherif enexa sailproject dice simba ngonga whale"],"language":[{"iso":"eng"}],"type":"conference","publication":"The Semantic Web – ISWC 2025","abstract":[{"lang":"eng","text":"The number of datasets on the web of data increases continuously. However, the knowledge contained therein cannot be fully utilized without finding links between the entities contained in these datasets. Equivalent entities can not be identified solely by checking the equivalence of IRIs because of the different origins and naming schemes of different data providers. Yet, such equivalences can be discovered by computing the similarity of their attributes. In this paper we propose GLIDE, an approach that links entities from two different datasets by embedding a joint model of these datasets enriched by additional relations describing the similarity of literals. The joint model is embedded into a latent vector space while paying attention to juxtaposing similar literals. We evaluate our approach against state-of-the-art algorithms using real-world datasets commonly used in link discovery literature. The results show that GLIDE outperforms all baselines on 5 of 7 datasets with perfect or near-perfect accuracy. Our approach achieves its best performance on datasets that feature several literals with similarities. Our experiments indicate that researchers should not only pay attention to equal literals in knowledge graph embedding but should also be aware of the distance between similar literals."}],"status":"public","date_updated":"2025-09-11T10:34:52Z","date_created":"2025-09-11T10:04:16Z","author":[{"last_name":"Becker","full_name":"Becker, Alexander","first_name":"Alexander"},{"last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","first_name":"Axel-Cyrille"},{"first_name":"Mohamed ","last_name":"Sherif","full_name":"Sherif, Mohamed "}],"title":"GLIDE: Knowledge Graph Linking using Distance-Aware Embeddings","conference":{"name":"ISWC 2025"},"place":"Nara, Japan","year":"2025","citation":{"chicago":"Becker, Alexander, Axel-Cyrille Ngonga Ngomo, and Mohamed  Sherif. “GLIDE: Knowledge Graph Linking Using Distance-Aware Embeddings.” In <i>The Semantic Web – ISWC 2025</i>. Nara, Japan, 2025.","ieee":"A. Becker, A.-C. Ngonga Ngomo, and M. Sherif, “GLIDE: Knowledge Graph Linking using Distance-Aware Embeddings,” presented at the ISWC 2025, 2025.","ama":"Becker A, Ngonga Ngomo A-C, Sherif M. GLIDE: Knowledge Graph Linking using Distance-Aware Embeddings. In: <i>The Semantic Web – ISWC 2025</i>. ; 2025.","apa":"Becker, A., Ngonga Ngomo, A.-C., &#38; Sherif, M. (2025). GLIDE: Knowledge Graph Linking using Distance-Aware Embeddings. <i>The Semantic Web – ISWC 2025</i>. ISWC 2025.","mla":"Becker, Alexander, et al. “GLIDE: Knowledge Graph Linking Using Distance-Aware Embeddings.” <i>The Semantic Web – ISWC 2025</i>, 2025.","bibtex":"@inproceedings{Becker_Ngonga Ngomo_Sherif_2025, place={Nara, Japan}, title={GLIDE: Knowledge Graph Linking using Distance-Aware Embeddings}, booktitle={The Semantic Web – ISWC 2025}, author={Becker, Alexander and Ngonga Ngomo, Axel-Cyrille and Sherif, Mohamed }, year={2025} }","short":"A. Becker, A.-C. Ngonga Ngomo, M. Sherif, in: The Semantic Web – ISWC 2025, Nara, Japan, 2025."}},{"title":"Leveraging Cognitive States for Adaptive Scaffolding of Understanding in\n  Explanatory Tasks in HRI","date_updated":"2025-09-11T10:32:16Z","author":[{"full_name":"Groß, André","last_name":"Groß","first_name":"André"},{"full_name":"Richter, Birte","last_name":"Richter","first_name":"Birte"},{"first_name":"Bjarne","last_name":"Thomzik","full_name":"Thomzik, Bjarne"},{"first_name":"Britta","full_name":"Wrede, Britta","last_name":"Wrede"}],"date_created":"2025-09-11T10:28:03Z","year":"2025","citation":{"ama":"Groß A, Richter B, Thomzik B, Wrede B. Leveraging Cognitive States for Adaptive Scaffolding of Understanding in   Explanatory Tasks in HRI. <i>arXiv:250319692</i>. Published online 2025.","ieee":"A. Groß, B. Richter, B. Thomzik, and B. Wrede, “Leveraging Cognitive States for Adaptive Scaffolding of Understanding in   Explanatory Tasks in HRI,” <i>arXiv:2503.19692</i>. 2025.","chicago":"Groß, André, Birte Richter, Bjarne Thomzik, and Britta Wrede. “Leveraging Cognitive States for Adaptive Scaffolding of Understanding in   Explanatory Tasks in HRI.” <i>ArXiv:2503.19692</i>, 2025.","bibtex":"@article{Groß_Richter_Thomzik_Wrede_2025, title={Leveraging Cognitive States for Adaptive Scaffolding of Understanding in   Explanatory Tasks in HRI}, journal={arXiv:2503.19692}, author={Groß, André and Richter, Birte and Thomzik, Bjarne and Wrede, Britta}, year={2025} }","short":"A. Groß, B. Richter, B. Thomzik, B. Wrede, ArXiv:2503.19692 (2025).","mla":"Groß, André, et al. “Leveraging Cognitive States for Adaptive Scaffolding of Understanding in   Explanatory Tasks in HRI.” <i>ArXiv:2503.19692</i>, 2025.","apa":"Groß, A., Richter, B., Thomzik, B., &#38; Wrede, B. (2025). Leveraging Cognitive States for Adaptive Scaffolding of Understanding in   Explanatory Tasks in HRI. In <i>arXiv:2503.19692</i>."},"external_id":{"arxiv":["2503.19692"]},"_id":"61213","user_id":"93405","abstract":[{"text":"Understanding how scaffolding strategies influence human understanding in\nhuman-robot interaction is important for developing effective assistive\nsystems. This empirical study investigates linguistic scaffolding strategies\nbased on negation as an important means that de-biases the user from potential\nerrors but increases processing costs and hesitations as a means to ameliorate\nprocessing costs. In an adaptive strategy, the user state with respect to the\ncurrent state of understanding and processing capacity was estimated via a\nscoring scheme based on task performance, prior scaffolding strategy, and\ncurrent eye gaze behavior. In the study, the adaptive strategy of providing\nnegations and hesitations was compared with a non-adaptive strategy of\nproviding only affirmations. The adaptive scaffolding strategy was generated\nusing the computational model SHIFT. Our findings indicate that using adaptive\nscaffolding strategies with SHIFT tends to (1) increased processing costs, as\nreflected in longer reaction times, but (2) improved task understanding,\nevidenced by a lower error rate of almost 23%. We assessed the efficiency of\nSHIFT's selected scaffolding strategies across different cognitive states,\nfinding that in three out of five states, the error rate was lower compared to\nthe baseline condition. We discuss how these results align with the assumptions\nof the SHIFT model and highlight areas for refinement. Moreover, we demonstrate\nhow scaffolding strategies, such as negation and hesitation, contribute to more\neffective human-robot explanatory dialogues.","lang":"eng"}],"status":"public","publication":"arXiv:2503.19692","type":"preprint"},{"date_updated":"2025-09-11T10:32:21Z","date_created":"2025-09-11T10:28:24Z","author":[{"first_name":"André","full_name":"Groß, André","last_name":"Groß"},{"last_name":"Richter","full_name":"Richter, Birte","first_name":"Birte"},{"full_name":"Wrede, Britta","last_name":"Wrede","first_name":"Britta"}],"title":"SHIFT: An Interdisciplinary Framework for Scaffolding Human Attention\n  and Understanding in Explanatory Tasks","year":"2025","citation":{"ama":"Groß A, Richter B, Wrede B. SHIFT: An Interdisciplinary Framework for Scaffolding Human Attention   and Understanding in Explanatory Tasks. <i>arXiv:250316447</i>. Published online 2025.","chicago":"Groß, André, Birte Richter, and Britta Wrede. “SHIFT: An Interdisciplinary Framework for Scaffolding Human Attention  and Understanding in Explanatory Tasks.” <i>ArXiv:2503.16447</i>, 2025.","ieee":"A. Groß, B. Richter, and B. Wrede, “SHIFT: An Interdisciplinary Framework for Scaffolding Human Attention   and Understanding in Explanatory Tasks,” <i>arXiv:2503.16447</i>. 2025.","mla":"Groß, André, et al. “SHIFT: An Interdisciplinary Framework for Scaffolding Human Attention  and Understanding in Explanatory Tasks.” <i>ArXiv:2503.16447</i>, 2025.","short":"A. Groß, B. Richter, B. Wrede, ArXiv:2503.16447 (2025).","bibtex":"@article{Groß_Richter_Wrede_2025, title={SHIFT: An Interdisciplinary Framework for Scaffolding Human Attention   and Understanding in Explanatory Tasks}, journal={arXiv:2503.16447}, author={Groß, André and Richter, Birte and Wrede, Britta}, year={2025} }","apa":"Groß, A., Richter, B., &#38; Wrede, B. (2025). SHIFT: An Interdisciplinary Framework for Scaffolding Human Attention   and Understanding in Explanatory Tasks. In <i>arXiv:2503.16447</i>."},"external_id":{"arxiv":["2503.16447"]},"_id":"61214","user_id":"93405","type":"preprint","publication":"arXiv:2503.16447","abstract":[{"lang":"eng","text":"In this work, we present a domain-independent approach for adaptive\nscaffolding in robotic explanation generation to guide tasks in human-robot\ninteraction. We present a method for incorporating interdisciplinary research\nresults into a computational model as a pre-configured scoring system\nimplemented in a framework called SHIFT. This involves outlining a procedure\nfor integrating concepts from disciplines outside traditional computer science\ninto a robotics computational framework. Our approach allows us to model the\nhuman cognitive state into six observable states within the human partner\nmodel. To study the pre-configuration of the system, we implement a\nreinforcement learning approach on top of our model. This approach allows\nadaptation to individuals who deviate from the configuration of the scoring\nsystem. Therefore, in our proof-of-concept evaluation, the model's adaptability\non four different user types shows that the models' adaptation performs better,\ni.e., recouped faster after exploration and has a higher accumulated reward\nwith our pre-configured scoring system than without it. We discuss further\nstrategies of speeding up the learning phase to enable a realistic adaptation\nbehavior to real users. The system is accessible through docker and supports\nquerying via ROS."}],"status":"public"},{"publication":"IEEE Access","type":"journal_article","status":"public","_id":"61134","department":[{"_id":"574"}],"user_id":"77309","language":[{"iso":"eng"}],"publication_identifier":{"issn":["2169-3536"]},"publication_status":"published","year":"2025","page":"1-1","citation":{"chicago":"Manzoor, Ali, René Speck, Hamada Mohamed Abdelsamee Zahera, Muhammad Saleem, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “Multilingual Relation Extraction - A Survey.” <i>IEEE Access</i>, 2025, 1–1. <a href=\"https://doi.org/10.1109/access.2025.3604258\">https://doi.org/10.1109/access.2025.3604258</a>.","ieee":"A. Manzoor, R. Speck, H. M. A. Zahera, M. Saleem, D. Moussallem, and A.-C. Ngonga Ngomo, “Multilingual Relation Extraction - A Survey,” <i>IEEE Access</i>, pp. 1–1, 2025, doi: <a href=\"https://doi.org/10.1109/access.2025.3604258\">10.1109/access.2025.3604258</a>.","ama":"Manzoor A, Speck R, Zahera HMA, Saleem M, Moussallem D, Ngonga Ngomo A-C. Multilingual Relation Extraction - A Survey. <i>IEEE Access</i>. Published online 2025:1-1. doi:<a href=\"https://doi.org/10.1109/access.2025.3604258\">10.1109/access.2025.3604258</a>","mla":"Manzoor, Ali, et al. “Multilingual Relation Extraction - A Survey.” <i>IEEE Access</i>, Institute of Electrical and Electronics Engineers (IEEE), 2025, pp. 1–1, doi:<a href=\"https://doi.org/10.1109/access.2025.3604258\">10.1109/access.2025.3604258</a>.","short":"A. Manzoor, R. Speck, H.M.A. Zahera, M. Saleem, D. Moussallem, A.-C. Ngonga Ngomo, IEEE Access (2025) 1–1.","bibtex":"@article{Manzoor_Speck_Zahera_Saleem_Moussallem_Ngonga Ngomo_2025, title={Multilingual Relation Extraction - A Survey}, DOI={<a href=\"https://doi.org/10.1109/access.2025.3604258\">10.1109/access.2025.3604258</a>}, journal={IEEE Access}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Manzoor, Ali and Speck, René and Zahera, Hamada Mohamed Abdelsamee and Saleem, Muhammad and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2025}, pages={1–1} }","apa":"Manzoor, A., Speck, R., Zahera, H. M. A., Saleem, M., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2025). Multilingual Relation Extraction - A Survey. <i>IEEE Access</i>, 1–1. <a href=\"https://doi.org/10.1109/access.2025.3604258\">https://doi.org/10.1109/access.2025.3604258</a>"},"date_updated":"2025-09-11T11:14:27Z","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","author":[{"id":"77309","full_name":"Manzoor, Ali","last_name":"Manzoor","orcid":"https://orcid.org/0000-0001-8403-5160","first_name":"Ali"},{"id":"70843","full_name":"Speck, René","last_name":"Speck","first_name":"René"},{"last_name":"Zahera","orcid":"0000-0003-0215-1278","id":"72768","full_name":"Zahera, Hamada Mohamed Abdelsamee","first_name":"Hamada Mohamed Abdelsamee"},{"first_name":"Muhammad","last_name":"Saleem","full_name":"Saleem, Muhammad"},{"first_name":"Diego","id":"71635","full_name":"Moussallem, Diego","last_name":"Moussallem"},{"first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo"}],"date_created":"2025-09-04T13:32:08Z","title":"Multilingual Relation Extraction - A Survey","doi":"10.1109/access.2025.3604258"},{"publication_status":"published","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783032012210","9783032012227"]},"citation":{"ama":"Lenke M, Klowait N, Biere L, Schulte C. Assessing AI Literacy: A Systematic Review of Questionnaires with Emphasis on Affective, Behavioral, Cognitive, and Ethical Aspects. In: <i>Lecture Notes in Computer Science</i>. Springer Nature Switzerland; 2025. doi:<a href=\"https://doi.org/10.1007/978-3-032-01222-7_8\">10.1007/978-3-032-01222-7_8</a>","chicago":"Lenke, Michael, Nils Klowait, Lea Biere, and Carsten Schulte. “Assessing AI Literacy: A Systematic Review of Questionnaires with Emphasis on Affective, Behavioral, Cognitive, and Ethical Aspects.” In <i>Lecture Notes in Computer Science</i>. Cham: Springer Nature Switzerland, 2025. <a href=\"https://doi.org/10.1007/978-3-032-01222-7_8\">https://doi.org/10.1007/978-3-032-01222-7_8</a>.","ieee":"M. Lenke, N. Klowait, L. Biere, and C. Schulte, “Assessing AI Literacy: A Systematic Review of Questionnaires with Emphasis on Affective, Behavioral, Cognitive, and Ethical Aspects,” in <i>Lecture Notes in Computer Science</i>, Cham: Springer Nature Switzerland, 2025.","mla":"Lenke, Michael, et al. “Assessing AI Literacy: A Systematic Review of Questionnaires with Emphasis on Affective, Behavioral, Cognitive, and Ethical Aspects.” <i>Lecture Notes in Computer Science</i>, Springer Nature Switzerland, 2025, doi:<a href=\"https://doi.org/10.1007/978-3-032-01222-7_8\">10.1007/978-3-032-01222-7_8</a>.","short":"M. Lenke, N. Klowait, L. Biere, C. Schulte, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.","bibtex":"@inbook{Lenke_Klowait_Biere_Schulte_2025, place={Cham}, title={Assessing AI Literacy: A Systematic Review of Questionnaires with Emphasis on Affective, Behavioral, Cognitive, and Ethical Aspects}, DOI={<a href=\"https://doi.org/10.1007/978-3-032-01222-7_8\">10.1007/978-3-032-01222-7_8</a>}, booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland}, author={Lenke, Michael and Klowait, Nils and Biere, Lea and Schulte, Carsten}, year={2025} }","apa":"Lenke, M., Klowait, N., Biere, L., &#38; Schulte, C. (2025). Assessing AI Literacy: A Systematic Review of Questionnaires with Emphasis on Affective, Behavioral, Cognitive, and Ethical Aspects. In <i>Lecture Notes in Computer Science</i>. Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-032-01222-7_8\">https://doi.org/10.1007/978-3-032-01222-7_8</a>"},"place":"Cham","year":"2025","date_created":"2025-09-11T14:02:42Z","author":[{"last_name":"Lenke","id":"32621","full_name":"Lenke, Michael","first_name":"Michael"},{"first_name":"Nils","id":"98454","full_name":"Klowait, Nils","orcid":"0000-0002-7347-099X","last_name":"Klowait"},{"first_name":"Lea","last_name":"Biere","id":"46664","full_name":"Biere, Lea"},{"last_name":"Schulte","full_name":"Schulte, Carsten","id":"60311","first_name":"Carsten"}],"publisher":"Springer Nature Switzerland","date_updated":"2025-09-11T14:07:54Z","doi":"10.1007/978-3-032-01222-7_8","title":"Assessing AI Literacy: A Systematic Review of Questionnaires with Emphasis on Affective, Behavioral, Cognitive, and Ethical Aspects","type":"book_chapter","publication":"Lecture Notes in Computer Science","status":"public","user_id":"98454","department":[{"_id":"67"}],"project":[{"name":"TRR 318 - Project Area Ö","_id":"119"}],"_id":"61222","language":[{"iso":"eng"}]},{"type":"journal_article","publication":"Frontiers in Sociology","abstract":[{"lang":"eng","text":"<jats:p>Contemporary debates about artificial intelligence (AI) still treat automation as a straightforward substitution of human labor by machines. Drawing on Goffman’s dramaturgical sociology, this paper reframes AI in the workplace as <jats:italic>supplementary</jats:italic> rather than <jats:italic>substitutive</jats:italic> automation. We argue that the central—but routinely overlooked—terrain of struggle is symbolic-interactional: workers continuously stage, conceal, and re-negotiate what counts as “real” work and professional competence. Large language models (LLMs) such as ChatGPT exemplify this dynamic. They quietly take over the invisible, routinised tasks that underpin cognitive occupations (editing, summarizing, first-draft production) while leaving humans to enact the highly visible or relational facets that sustain occupational prestige. Drawing on diverse sources to illustrate our theoretical argument, we show how individual workers, dramaturgical teams, and entire professional fields manage impressions of expertise in order to counter status threats, renegotiate fees, or obscure the extent of AI assistance. The paper itself, having been intentionally written with the ‘aid’ of all presently available frontier AI models, serves as a meta-reflexive performance of professional self-staging. The dramaturgical framework clarifies why utopian tales of friction-free augmentation and dystopian narratives of total displacement both misread how automation is actually unfolding. By foregrounding visibility, obfuscation, and impression management, the article presents a differentiated case for AI’s impact on the performative structure of work, outlines diagnostic tools for assessing real-world AI exposure beyond hype-driven headlines, and argues for a more human-centered basis for evaluating policy responses to the ‘fourth industrial revolution.’ In short, AI enters the labor process not as an autonomous actor, but as a prop within an ongoing social performance—one whose scripts, stages, and audiences remain irreducibly human.</jats:p>"}],"status":"public","project":[{"_id":"119","name":"TRR 318 - Project Area Ö"}],"_id":"61223","user_id":"98454","department":[{"_id":"603"}],"article_number":"1614473","language":[{"iso":"eng"}],"publication_status":"published","publication_identifier":{"issn":["2297-7775"]},"year":"2025","citation":{"bibtex":"@article{Klowait_Erofeeva_2025, title={The presentation of self in the age of ChatGPT}, volume={10}, DOI={<a href=\"https://doi.org/10.3389/fsoc.2025.1614473\">10.3389/fsoc.2025.1614473</a>}, number={1614473}, journal={Frontiers in Sociology}, publisher={Frontiers Media SA}, author={Klowait, Nils and Erofeeva, Maria}, year={2025} }","short":"N. Klowait, M. Erofeeva, Frontiers in Sociology 10 (2025).","mla":"Klowait, Nils, and Maria Erofeeva. “The Presentation of Self in the Age of ChatGPT.” <i>Frontiers in Sociology</i>, vol. 10, 1614473, Frontiers Media SA, 2025, doi:<a href=\"https://doi.org/10.3389/fsoc.2025.1614473\">10.3389/fsoc.2025.1614473</a>.","apa":"Klowait, N., &#38; Erofeeva, M. (2025). The presentation of self in the age of ChatGPT. <i>Frontiers in Sociology</i>, <i>10</i>, Article 1614473. <a href=\"https://doi.org/10.3389/fsoc.2025.1614473\">https://doi.org/10.3389/fsoc.2025.1614473</a>","chicago":"Klowait, Nils, and Maria Erofeeva. “The Presentation of Self in the Age of ChatGPT.” <i>Frontiers in Sociology</i> 10 (2025). <a href=\"https://doi.org/10.3389/fsoc.2025.1614473\">https://doi.org/10.3389/fsoc.2025.1614473</a>.","ieee":"N. Klowait and M. Erofeeva, “The presentation of self in the age of ChatGPT,” <i>Frontiers in Sociology</i>, vol. 10, Art. no. 1614473, 2025, doi: <a href=\"https://doi.org/10.3389/fsoc.2025.1614473\">10.3389/fsoc.2025.1614473</a>.","ama":"Klowait N, Erofeeva M. The presentation of self in the age of ChatGPT. <i>Frontiers in Sociology</i>. 2025;10. doi:<a href=\"https://doi.org/10.3389/fsoc.2025.1614473\">10.3389/fsoc.2025.1614473</a>"},"intvolume":"        10","publisher":"Frontiers Media SA","date_updated":"2025-09-11T14:10:30Z","author":[{"first_name":"Nils","last_name":"Klowait","orcid":"0000-0002-7347-099X","id":"98454","full_name":"Klowait, Nils"},{"first_name":"Maria","full_name":"Erofeeva, Maria","last_name":"Erofeeva"}],"date_created":"2025-09-11T14:08:31Z","volume":10,"title":"The presentation of self in the age of ChatGPT","doi":"10.3389/fsoc.2025.1614473"},{"date_created":"2025-09-11T14:11:31Z","author":[{"last_name":"Erofeeva","full_name":"Erofeeva, Maria","first_name":"Maria"},{"first_name":"Nils","orcid":"0000-0002-7347-099X","last_name":"Klowait","full_name":"Klowait, Nils","id":"98454"},{"full_name":"Belov, Mikael","last_name":"Belov","first_name":"Mikael"},{"first_name":"Yoann","full_name":"Soulié, Yoann","last_name":"Soulié"}],"publisher":"Springer Nature Switzerland","date_updated":"2025-09-11T14:11:47Z","doi":"10.1007/978-3-031-98080-0_10","title":"Leveraging VR Tools for Inclusive Education: Implications from Sign Language Learning in VRChat","publication_identifier":{"isbn":["9783031980794","9783031980800"],"issn":["1865-0929","1865-0937"]},"publication_status":"published","citation":{"ieee":"M. Erofeeva, N. Klowait, M. Belov, and Y. Soulié, “Leveraging VR Tools for Inclusive Education: Implications from Sign Language Learning in VRChat,” in <i>Communications in Computer and Information Science</i>, Cham: Springer Nature Switzerland, 2025.","chicago":"Erofeeva, Maria, Nils Klowait, Mikael Belov, and Yoann Soulié. “Leveraging VR Tools for Inclusive Education: Implications from Sign Language Learning in VRChat.” In <i>Communications in Computer and Information Science</i>. Cham: Springer Nature Switzerland, 2025. <a href=\"https://doi.org/10.1007/978-3-031-98080-0_10\">https://doi.org/10.1007/978-3-031-98080-0_10</a>.","ama":"Erofeeva M, Klowait N, Belov M, Soulié Y. Leveraging VR Tools for Inclusive Education: Implications from Sign Language Learning in VRChat. In: <i>Communications in Computer and Information Science</i>. Springer Nature Switzerland; 2025. doi:<a href=\"https://doi.org/10.1007/978-3-031-98080-0_10\">10.1007/978-3-031-98080-0_10</a>","apa":"Erofeeva, M., Klowait, N., Belov, M., &#38; Soulié, Y. (2025). Leveraging VR Tools for Inclusive Education: Implications from Sign Language Learning in VRChat. In <i>Communications in Computer and Information Science</i>. Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-98080-0_10\">https://doi.org/10.1007/978-3-031-98080-0_10</a>","bibtex":"@inbook{Erofeeva_Klowait_Belov_Soulié_2025, place={Cham}, title={Leveraging VR Tools for Inclusive Education: Implications from Sign Language Learning in VRChat}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-98080-0_10\">10.1007/978-3-031-98080-0_10</a>}, booktitle={Communications in Computer and Information Science}, publisher={Springer Nature Switzerland}, author={Erofeeva, Maria and Klowait, Nils and Belov, Mikael and Soulié, Yoann}, year={2025} }","short":"M. Erofeeva, N. Klowait, M. Belov, Y. Soulié, in: Communications in Computer and Information Science, Springer Nature Switzerland, Cham, 2025.","mla":"Erofeeva, Maria, et al. “Leveraging VR Tools for Inclusive Education: Implications from Sign Language Learning in VRChat.” <i>Communications in Computer and Information Science</i>, Springer Nature Switzerland, 2025, doi:<a href=\"https://doi.org/10.1007/978-3-031-98080-0_10\">10.1007/978-3-031-98080-0_10</a>."},"year":"2025","place":"Cham","department":[{"_id":"603"}],"user_id":"98454","_id":"61226","language":[{"iso":"eng"}],"publication":"Communications in Computer and Information Science","type":"book_chapter","status":"public"},{"citation":{"mla":"Muschalik, Maximilian, et al. “Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks.” <i>The Thirteenth International Conference on Learning Representations (ICLR)</i>, 2025.","short":"M. Muschalik, F. Fumagalli, P. Frazzetto, J. Strotherm, L. Hermes, A. Sperduti, E. Hüllermeier, B. Hammer, in: The Thirteenth International Conference on Learning Representations (ICLR), 2025.","bibtex":"@inproceedings{Muschalik_Fumagalli_Frazzetto_Strotherm_Hermes_Sperduti_Hüllermeier_Hammer_2025, title={Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks}, booktitle={The Thirteenth International Conference on Learning Representations (ICLR)}, author={Muschalik, Maximilian and Fumagalli, Fabian and Frazzetto, Paolo and Strotherm, Janine and Hermes, Luca and Sperduti, Alessandro and Hüllermeier, Eyke and Hammer, Barbara}, year={2025} }","apa":"Muschalik, M., Fumagalli, F., Frazzetto, P., Strotherm, J., Hermes, L., Sperduti, A., Hüllermeier, E., &#38; Hammer, B. (2025). Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks. <i>The Thirteenth International Conference on Learning Representations (ICLR)</i>.","chicago":"Muschalik, Maximilian, Fabian Fumagalli, Paolo Frazzetto, Janine Strotherm, Luca Hermes, Alessandro Sperduti, Eyke Hüllermeier, and Barbara Hammer. “Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks.” In <i>The Thirteenth International Conference on Learning Representations (ICLR)</i>, 2025.","ieee":"M. Muschalik <i>et al.</i>, “Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks,” 2025.","ama":"Muschalik M, Fumagalli F, Frazzetto P, et al. Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks. In: <i>The Thirteenth International Conference on Learning Representations (ICLR)</i>. ; 2025."},"year":"2025","title":"Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks","author":[{"first_name":"Maximilian","last_name":"Muschalik","full_name":"Muschalik, Maximilian"},{"last_name":"Fumagalli","full_name":"Fumagalli, Fabian","first_name":"Fabian"},{"last_name":"Frazzetto","full_name":"Frazzetto, Paolo","first_name":"Paolo"},{"last_name":"Strotherm","full_name":"Strotherm, Janine","first_name":"Janine"},{"full_name":"Hermes, Luca","last_name":"Hermes","first_name":"Luca"},{"last_name":"Sperduti","full_name":"Sperduti, Alessandro","first_name":"Alessandro"},{"last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","first_name":"Eyke"},{"first_name":"Barbara","last_name":"Hammer","full_name":"Hammer, Barbara"}],"date_created":"2025-09-11T15:44:54Z","date_updated":"2025-09-11T16:14:54Z","status":"public","type":"conference","publication":"The Thirteenth International Conference on Learning Representations (ICLR)","language":[{"iso":"eng"}],"user_id":"93420","department":[{"_id":"660"}],"project":[{"name":"TRR 318 - Project Area C","_id":"117"},{"_id":"126","name":"TRR 318 - Subproject C3"},{"_id":"109","name":"TRR 318: Erklärbarkeit konstruieren"}],"_id":"61229"},{"author":[{"last_name":"Visser","full_name":"Visser, Roel","first_name":"Roel"},{"first_name":"Fabian","last_name":"Fumagalli","full_name":"Fumagalli, Fabian"},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier"},{"last_name":"Hammer","full_name":"Hammer, Barbara","first_name":"Barbara"}],"date_created":"2025-09-11T15:53:02Z","date_updated":"2025-09-11T15:56:22Z","title":"Explaining Outliers using Isolation Forest and Shapley Interactions","citation":{"apa":"Visser, R., Fumagalli, F., Hüllermeier, E., &#38; Hammer, B. (2025). Explaining Outliers using Isolation Forest and Shapley Interactions. <i>Proceedings of the European Symposium on Artificial Neural Networks (ESANN)</i>.","bibtex":"@inproceedings{Visser_Fumagalli_Hüllermeier_Hammer_2025, title={Explaining Outliers using Isolation Forest and Shapley Interactions}, booktitle={Proceedings of the European Symposium on Artificial Neural Networks (ESANN)}, author={Visser, Roel and Fumagalli, Fabian and Hüllermeier, Eyke and Hammer, Barbara}, year={2025} }","short":"R. Visser, F. Fumagalli, E. Hüllermeier, B. Hammer, in: Proceedings of the European Symposium on Artificial Neural Networks (ESANN), 2025.","mla":"Visser, Roel, et al. “Explaining Outliers Using Isolation Forest and Shapley Interactions.” <i>Proceedings of the European Symposium on Artificial Neural Networks (ESANN)</i>, 2025.","ieee":"R. Visser, F. Fumagalli, E. Hüllermeier, and B. Hammer, “Explaining Outliers using Isolation Forest and Shapley Interactions,” 2025.","chicago":"Visser, Roel, Fabian Fumagalli, Eyke Hüllermeier, and Barbara Hammer. “Explaining Outliers Using Isolation Forest and Shapley Interactions.” In <i>Proceedings of the European Symposium on Artificial Neural Networks (ESANN)</i>, 2025.","ama":"Visser R, Fumagalli F, Hüllermeier E, Hammer B. Explaining Outliers using Isolation Forest and Shapley Interactions. In: <i>Proceedings of the European Symposium on Artificial Neural Networks (ESANN)</i>. ; 2025."},"year":"2025","user_id":"93420","department":[{"_id":"660"}],"project":[{"name":"TRR 318 - Project Area C","_id":"117"},{"_id":"126","name":"TRR 318 - Subproject C3"},{"name":"TRR 318: Erklärbarkeit konstruieren","_id":"109"},{"name":"TRR 318 ; TP C01: Gesundes Misstrauen in Erklärungen","_id":"124"}],"_id":"61232","language":[{"iso":"eng"}],"keyword":["FF"],"type":"conference","publication":"Proceedings of the European Symposium on Artificial Neural Networks (ESANN)","status":"public"},{"publication":"Proceedings of The 28th International Conference on Artificial Intelligence and Statistics (AISTATS)","type":"conference","status":"public","_id":"61231","project":[{"name":"TRR 318 - Project Area C","_id":"117"},{"_id":"126","name":"TRR 318 - Subproject C3"},{"_id":"109","name":"TRR 318: Erklärbarkeit konstruieren"}],"department":[{"_id":"660"}],"user_id":"93420","series_title":"Proceedings of Machine Learning Research","language":[{"iso":"eng"}],"year":"2025","intvolume":"       258","page":"5140-5148","citation":{"apa":"Fumagalli, F., Muschalik, M., Hüllermeier, E., Hammer, B., &#38; Herbinger, J. (2025). Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory. <i>Proceedings of The 28th International Conference on Artificial Intelligence and Statistics (AISTATS)</i>, <i>258</i>, 5140–5148.","mla":"Fumagalli, Fabian, et al. “Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory.” <i>Proceedings of The 28th International Conference on Artificial Intelligence and Statistics (AISTATS)</i>, vol. 258, PMLR, 2025, pp. 5140–48.","bibtex":"@inproceedings{Fumagalli_Muschalik_Hüllermeier_Hammer_Herbinger_2025, series={Proceedings of Machine Learning Research}, title={Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory}, volume={258}, booktitle={Proceedings of The 28th International Conference on Artificial Intelligence and Statistics (AISTATS)}, publisher={PMLR}, author={Fumagalli, Fabian and Muschalik, Maximilian and Hüllermeier, Eyke and Hammer, Barbara and Herbinger, Julia}, year={2025}, pages={5140–5148}, collection={Proceedings of Machine Learning Research} }","short":"F. Fumagalli, M. Muschalik, E. Hüllermeier, B. Hammer, J. Herbinger, in: Proceedings of The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR, 2025, pp. 5140–5148.","ama":"Fumagalli F, Muschalik M, Hüllermeier E, Hammer B, Herbinger J. Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory. In: <i>Proceedings of The 28th International Conference on Artificial Intelligence and Statistics (AISTATS)</i>. Vol 258. Proceedings of Machine Learning Research. PMLR; 2025:5140-5148.","chicago":"Fumagalli, Fabian, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer, and Julia Herbinger. “Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory.” In <i>Proceedings of The 28th International Conference on Artificial Intelligence and Statistics (AISTATS)</i>, 258:5140–48. Proceedings of Machine Learning Research. PMLR, 2025.","ieee":"F. Fumagalli, M. Muschalik, E. Hüllermeier, B. Hammer, and J. Herbinger, “Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory,” in <i>Proceedings of The 28th International Conference on Artificial Intelligence and Statistics (AISTATS)</i>, 2025, vol. 258, pp. 5140–5148."},"date_updated":"2025-09-11T16:24:33Z","publisher":"PMLR","volume":258,"author":[{"first_name":"Fabian","last_name":"Fumagalli","full_name":"Fumagalli, Fabian"},{"last_name":"Muschalik","full_name":"Muschalik, Maximilian","first_name":"Maximilian"},{"last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","first_name":"Eyke"},{"last_name":"Hammer","full_name":"Hammer, Barbara","first_name":"Barbara"},{"first_name":"Julia","full_name":"Herbinger, Julia","last_name":"Herbinger"}],"date_created":"2025-09-11T15:48:55Z","title":"Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory"},{"user_id":"76456","department":[{"_id":"660"}],"project":[{"name":"TRR 318: Project Area INF","_id":"118"},{"_id":"112","name":"TRR 318; TP A02: Verstehensprozess einer Erklärung beobachten und auswerten"}],"_id":"61153","language":[{"iso":"eng"}],"extern":"1","type":"conference_abstract","publication":"Abstracts of the 3rd TRR 318 Conference: Contextualizing Explanations","status":"public","date_created":"2025-09-08T14:15:42Z","author":[{"id":"93424","full_name":"Booshehri, Meisam","last_name":"Booshehri","first_name":"Meisam"},{"last_name":"Buschmeier","orcid":"0000-0002-9613-5713","full_name":"Buschmeier, Hendrik","id":"76456","first_name":"Hendrik"},{"first_name":"Philipp","last_name":"Cimiano","full_name":"Cimiano, Philipp"}],"date_updated":"2025-09-12T06:29:37Z","conference":{"end_date":"2025-06-18","location":"Bielefeld, Germany","name":"3rd TRR 318 Conference: Contextualizing Explanations","start_date":"2025-06-17"},"title":"A BFO-based ontology of context for Social XAI","quality_controlled":"1","citation":{"ama":"Booshehri M, Buschmeier H, Cimiano P. A BFO-based ontology of context for Social XAI. In: <i>Abstracts of the 3rd TRR 318 Conference: Contextualizing Explanations</i>. ; 2025.","ieee":"M. Booshehri, H. Buschmeier, and P. Cimiano, “A BFO-based ontology of context for Social XAI,” presented at the 3rd TRR 318 Conference: Contextualizing Explanations, Bielefeld, Germany, 2025.","chicago":"Booshehri, Meisam, Hendrik Buschmeier, and Philipp Cimiano. “A BFO-Based Ontology of Context for Social XAI.” In <i>Abstracts of the 3rd TRR 318 Conference: Contextualizing Explanations</i>, 2025.","bibtex":"@inproceedings{Booshehri_Buschmeier_Cimiano_2025, title={A BFO-based ontology of context for Social XAI}, booktitle={Abstracts of the 3rd TRR 318 Conference: Contextualizing Explanations}, author={Booshehri, Meisam and Buschmeier, Hendrik and Cimiano, Philipp}, year={2025} }","mla":"Booshehri, Meisam, et al. “A BFO-Based Ontology of Context for Social XAI.” <i>Abstracts of the 3rd TRR 318 Conference: Contextualizing Explanations</i>, 2025.","short":"M. Booshehri, H. Buschmeier, P. Cimiano, in: Abstracts of the 3rd TRR 318 Conference: Contextualizing Explanations, 2025.","apa":"Booshehri, M., Buschmeier, H., &#38; Cimiano, P. (2025). A BFO-based ontology of context for Social XAI. <i>Abstracts of the 3rd TRR 318 Conference: Contextualizing Explanations</i>. 3rd TRR 318 Conference: Contextualizing Explanations, Bielefeld, Germany."},"year":"2025"},{"date_updated":"2025-09-12T09:50:48Z","oa":"1","author":[{"last_name":"Fichtel","full_name":"Fichtel, Leandra","first_name":"Leandra"},{"last_name":"Spliethöver","orcid":"0000-0003-4364-1409","full_name":"Spliethöver, Maximilian","id":"84035","first_name":"Maximilian"},{"first_name":"Eyke","id":"48129","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier"},{"last_name":"Jimenez","full_name":"Jimenez, Patricia","id":"103339","first_name":"Patricia"},{"id":"98454","full_name":"Klowait, Nils","orcid":"0000-0002-7347-099X","last_name":"Klowait","first_name":"Nils"},{"first_name":"Stefan","full_name":"Kopp, Stefan","last_name":"Kopp"},{"first_name":"Axel-Cyrille","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo"},{"first_name":"Amelie","last_name":"Robrecht","orcid":"0000-0001-5622-8248","id":"91982","full_name":"Robrecht, Amelie"},{"first_name":"Ingrid","id":"451","full_name":"Scharlau, Ingrid","last_name":"Scharlau","orcid":"0000-0003-2364-9489"},{"last_name":"Terfloth","full_name":"Terfloth, Lutz","id":"37320","first_name":"Lutz"},{"first_name":"Anna-Lisa","full_name":"Vollmer, Anna-Lisa","id":"86589","last_name":"Vollmer"},{"first_name":"Henning","full_name":"Wachsmuth, Henning","id":"3900","last_name":"Wachsmuth"}],"conference":{"name":"Annual Meeting of the Special Interest Group on Discourse and Dialogue"},"main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/2504.18483"}],"publication_status":"accepted","related_material":{"link":[{"relation":"software","url":"https://github.com/webis-de/sigdial25-co-constructive-llms"},{"url":"https://github.com/webis-de/sigdial25-co-constructive-llms-data","relation":"research_data"}]},"place":"Avignon, France","citation":{"short":"L. Fichtel, M. Spliethöver, E. Hüllermeier, P. Jimenez, N. Klowait, S. Kopp, A.-C. Ngonga Ngomo, A. Robrecht, I. Scharlau, L. Terfloth, A.-L. Vollmer, H. Wachsmuth, in: Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Association for Computational Linguistics, Avignon, France, n.d.","bibtex":"@inproceedings{Fichtel_Spliethöver_Hüllermeier_Jimenez_Klowait_Kopp_Ngonga Ngomo_Robrecht_Scharlau_Terfloth_et al., place={Avignon, France}, title={Investigating Co-Constructive Behavior of Large Language Models in  Explanation Dialogues}, booktitle={Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue}, publisher={Association for Computational Linguistics}, author={Fichtel, Leandra and Spliethöver, Maximilian and Hüllermeier, Eyke and Jimenez, Patricia and Klowait, Nils and Kopp, Stefan and Ngonga Ngomo, Axel-Cyrille and Robrecht, Amelie and Scharlau, Ingrid and Terfloth, Lutz and et al.} }","mla":"Fichtel, Leandra, et al. “Investigating Co-Constructive Behavior of Large Language Models in  Explanation Dialogues.” <i>Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue</i>, Association for Computational Linguistics.","apa":"Fichtel, L., Spliethöver, M., Hüllermeier, E., Jimenez, P., Klowait, N., Kopp, S., Ngonga Ngomo, A.-C., Robrecht, A., Scharlau, I., Terfloth, L., Vollmer, A.-L., &#38; Wachsmuth, H. (n.d.). Investigating Co-Constructive Behavior of Large Language Models in  Explanation Dialogues. <i>Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue</i>. Annual Meeting of the Special Interest Group on Discourse and Dialogue.","ama":"Fichtel L, Spliethöver M, Hüllermeier E, et al. Investigating Co-Constructive Behavior of Large Language Models in  Explanation Dialogues. In: <i>Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue</i>. Association for Computational Linguistics.","ieee":"L. Fichtel <i>et al.</i>, “Investigating Co-Constructive Behavior of Large Language Models in  Explanation Dialogues,” presented at the Annual Meeting of the Special Interest Group on Discourse and Dialogue.","chicago":"Fichtel, Leandra, Maximilian Spliethöver, Eyke Hüllermeier, Patricia Jimenez, Nils Klowait, Stefan Kopp, Axel-Cyrille Ngonga Ngomo, et al. “Investigating Co-Constructive Behavior of Large Language Models in  Explanation Dialogues.” In <i>Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue</i>. Avignon, France: Association for Computational Linguistics, n.d."},"_id":"61234","project":[{"_id":"118","name":"TRR 318: Project Area INF"},{"name":"TRR 318; TP B01: Ein dialogbasierter Ansatz zur Erklärung von Modellen des maschinellen Lernens","_id":"121"},{"_id":"127","name":"TRR 318; TP C04: Metaphern als Werkzeug des Erklärens"},{"name":"TRR 318 - Subproject B3","_id":"122"},{"_id":"119","name":"TRR 318 - Project Area Ö"},{"_id":"114","name":"TRR 318; TP A04: Integration des technischen Modells in das Partnermodell bei der Erklärung von digitalen Artefakten"}],"department":[{"_id":"660"}],"user_id":"84035","type":"conference","status":"public","publisher":"Association for Computational Linguistics","date_created":"2025-09-11T16:11:17Z","title":"Investigating Co-Constructive Behavior of Large Language Models in  Explanation Dialogues","year":"2025","external_id":{"arxiv":["2504.18483"]},"language":[{"iso":"eng"}],"publication":"Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue","abstract":[{"lang":"eng","text":"The ability to generate explanations that are understood by explainees is the\r\nquintessence of explainable artificial intelligence. Since understanding\r\ndepends on the explainee's background and needs, recent research focused on\r\nco-constructive explanation dialogues, where an explainer continuously monitors\r\nthe explainee's understanding and adapts their explanations dynamically. We\r\ninvestigate the ability of large language models (LLMs) to engage as explainers\r\nin co-constructive explanation dialogues. In particular, we present a user\r\nstudy in which explainees interact with an LLM in two settings, one of which\r\ninvolves the LLM being instructed to explain a topic co-constructively. We\r\nevaluate the explainees' understanding before and after the dialogue, as well\r\nas their perception of the LLMs' co-constructive behavior. Our results suggest\r\nthat LLMs show some co-constructive behaviors, such as asking verification\r\nquestions, that foster the explainees' engagement and can improve understanding\r\nof a topic. However, their ability to effectively monitor the current\r\nunderstanding and scaffold the explanations accordingly remains limited."}]},{"related_material":{"link":[{"url":"https://github.com/webis-de/naacl25-prompt-compositions","relation":"software"}]},"publication_status":"published","publication_identifier":{"isbn":["979-8-89176-189-6"]},"citation":{"ieee":"M. Spliethöver <i>et al.</i>, “Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection,” in <i>Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)</i>, 2025, pp. 2421–2449.","chicago":"Spliethöver, Maximilian, Tim Knebler, Fabian Fumagalli, Maximilian Muschalik, Barbara Hammer, Eyke Hüllermeier, and Henning Wachsmuth. “Adaptive Prompting: Ad-Hoc Prompt Composition for Social Bias Detection.” In <i>Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)</i>, edited by Luis Chiruzzo, Alan Ritter, and Lu Wang, 2421–2449. Albuquerque, New Mexico: Association for Computational Linguistics, 2025.","ama":"Spliethöver M, Knebler T, Fumagalli F, et al. Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection. In: Chiruzzo L, Ritter A, Wang L, eds. <i>Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)</i>. Association for Computational Linguistics; 2025:2421–2449.","apa":"Spliethöver, M., Knebler, T., Fumagalli, F., Muschalik, M., Hammer, B., Hüllermeier, E., &#38; Wachsmuth, H. (2025). Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection. In L. Chiruzzo, A. Ritter, &#38; L. Wang (Eds.), <i>Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)</i> (pp. 2421–2449). Association for Computational Linguistics.","bibtex":"@inproceedings{Spliethöver_Knebler_Fumagalli_Muschalik_Hammer_Hüllermeier_Wachsmuth_2025, place={Albuquerque, New Mexico}, title={Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection}, booktitle={Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)}, publisher={Association for Computational Linguistics}, author={Spliethöver, Maximilian and Knebler, Tim and Fumagalli, Fabian and Muschalik, Maximilian and Hammer, Barbara and Hüllermeier, Eyke and Wachsmuth, Henning}, editor={Chiruzzo, Luis and Ritter, Alan and Wang, Lu}, year={2025}, pages={2421–2449} }","short":"M. Spliethöver, T. Knebler, F. Fumagalli, M. Muschalik, B. Hammer, E. Hüllermeier, H. Wachsmuth, in: L. Chiruzzo, A. Ritter, L. Wang (Eds.), Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), Association for Computational Linguistics, Albuquerque, New Mexico, 2025, pp. 2421–2449.","mla":"Spliethöver, Maximilian, et al. “Adaptive Prompting: Ad-Hoc Prompt Composition for Social Bias Detection.” <i>Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)</i>, edited by Luis Chiruzzo et al., Association for Computational Linguistics, 2025, pp. 2421–2449."},"page":"2421–2449","place":"Albuquerque, New Mexico","author":[{"full_name":"Spliethöver, Maximilian","id":"84035","orcid":"0000-0003-4364-1409","last_name":"Spliethöver","first_name":"Maximilian"},{"last_name":"Knebler","full_name":"Knebler, Tim","first_name":"Tim"},{"first_name":"Fabian","id":"93420","full_name":"Fumagalli, Fabian","last_name":"Fumagalli"},{"last_name":"Muschalik","full_name":"Muschalik, Maximilian","first_name":"Maximilian"},{"first_name":"Barbara","full_name":"Hammer, Barbara","last_name":"Hammer"},{"full_name":"Hüllermeier, Eyke","id":"48129","last_name":"Hüllermeier","first_name":"Eyke"},{"last_name":"Wachsmuth","id":"3900","full_name":"Wachsmuth, Henning","first_name":"Henning"}],"oa":"1","date_updated":"2025-09-12T09:51:30Z","main_file_link":[{"open_access":"1","url":"https://aclanthology.org/2025.naacl-long.122/"}],"type":"conference","status":"public","editor":[{"first_name":"Luis","full_name":"Chiruzzo, Luis","last_name":"Chiruzzo"},{"full_name":"Ritter, Alan","last_name":"Ritter","first_name":"Alan"},{"full_name":"Wang, Lu","last_name":"Wang","first_name":"Lu"}],"user_id":"84035","department":[{"_id":"660"}],"project":[{"name":"TRR 318: Project Area INF","_id":"118"},{"_id":"126","name":"TRR 318 - Subproject C3"}],"_id":"59856","year":"2025","date_created":"2025-05-10T12:37:45Z","publisher":"Association for Computational Linguistics","title":"Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection","publication":"Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)","abstract":[{"lang":"eng","text":"Recent advances on instruction fine-tuning have led to the development of various prompting techniques for large language models, such as explicit reasoning steps. However, the success of techniques depends on various parameters, such as the task, language model, and context provided. Finding an effective prompt is, therefore, often a trial-and-error process. Most existing approaches to automatic prompting aim to optimize individual techniques instead of compositions of techniques and their dependence on the input. To fill this gap, we propose an adaptive prompting approach that predicts the optimal prompt composition ad-hoc for a given input. We apply our approach to social bias detection, a highly context-dependent task that requires semantic understanding. We evaluate it with three large language models on three datasets, comparing compositions to individual techniques and other baselines. The results underline the importance of finding an effective prompt composition. Our approach robustly ensures high detection performance, and is best in several settings. Moreover, first experiments on other tasks support its generalizability."}],"language":[{"iso":"eng"}]}]