Detecting subtle differences between human and model languages using spectrum of relative likelihood
Y. Xu, Y. Wang, H. An, Z. Liu, Y. Li, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, ACL, Miami, FL, USA, 2024, pp. 10108–10121.

Multimodal Co-Construction of Explanations with XAI Workshop
H. Buschmeier, S. Kopp, T. Hassan, in: Proceedings of the 26th ACM International Conference on Multimodal Interaction, ACM, 2024, pp. 698–699.

A model of factors contributing to the success of dialogical explanations
M. Booshehri, H. Buschmeier, P. Cimiano, in: Proceedings of the 26th ACM International Conference on Multimodal Interaction, ACM, San José, Costa Rica, 2024, pp. 373–381.

Conversational feedback in scripted versus spontaneous dialogues: A comparative analysis
I. Pilán, L. Prévot, H. Buschmeier, P. Lison, in: Proceedings of the 25th Meeting of the Special Interest Group on Discourse and Dialogue, Kyoto, Japan, 2024, pp. 440–457.

Turn-taking dynamics across different phases of explanatory dialogues
P. Wagner, M. Wodarczak, H. Buschmeier, O. Türk, E. Gilmartin, in: Proceedings of the 28th Workshop on the Semantics and Pragmatics of Dialogue, Trento, Italy, 2024, pp. 6–14.

Blink: Blank Node Matching Using Embeddings
A. Becker, M. Sherif, A.-C. Ngonga Ngomo, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2024.

Efficient Evaluation of Conjunctive Regular Path Queries Using Multi-way Joins
N. Karalis, A. Bigerl, L. Heidrich, M. Sherif, A.-C. Ngonga Ngomo, in: ESWC, 2024.

PCFWebUI: Data-driven WebUI for holistic decarbonization based on PCF-Tracking
A. Kumar, M. Naumann, K. Henne, M. Sherif, in: D. Garijo, A.L. Gentile, A. Kurteva, A. Mannocci, F. Osborne, S. Vahdati (Eds.), Joint Proceedings of Posters, Demos, Workshops, and Tutorials of the 20th International Conference on Semantic Systems Co-Located with 20th International Conference on Semantic Systems (SEMANTiCS 2024), Amsterdam, The Netherlands, September 17-19, 2024, CEUR-WS.org, 2024.

Lehrkräftebildung in der digitalen Welt. Zukunftsorientierte Forschungs- und Praxisperspektiven 
B. Herzig, B. Eickelmann, F. Schwabl, J. Schulze, J. Niemann, eds., Lehrkräftebildung in der digitalen Welt. Zukunftsorientierte Forschungs- und Praxisperspektiven , 1st ed., Waxmann, Münster, 2024.

Lehrkräftebildung in der digitalen Welt. Zukunftsorientierte Forschungs- und Praxisperspektiven
B. Herzig, B. Eickelmann, F. Schwabl, J. Schulze, J. Niemann, eds., Lehrkräftebildung in der digitalen Welt. Zukunftsorientierte Forschungs- und Praxisperspektiven, 1st ed., Waxmann, Münster, 2024.

Lehrkräftebildung in der digitalen Welt – zukunftsorientierte Forschungs- und Praxisperspektiven
B. Herzig, B. Eickelmann, F. Schwabl, J. Schulze, J. Niemann, eds., Lehrkräftebildung in der digitalen Welt – zukunftsorientierte Forschungs- und Praxisperspektiven, Waxmann Verlag GmbH, Münster, 2024.

Generating SPARQL from Natural Language Using Chain-of-Thoughts Prompting
H.M.A. Zahera, A. Manzoor, M. Sherif, D. Moussallem, A.-C. Ngonga Ngomo, in: SEMANTiCS, Amsterdam, Netherlands, 2024.

Can AI explain AI? Interactive co-construction of explanations among human and artificial agents
N. Klowait, M. Erofeeva, M. Lenke, I. Horwath, H. Buschmeier, Discourse &; Communication 18 (2024) 917–930.

No learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation
P. Kenneweg, T. Kenneweg, F. Fumagalli, B. Hammer, in: 2024 International Joint Conference on Neural Networks (IJCNN), 2024, pp. 1–8.

Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles
M. Muschalik, F. Fumagalli, B. Hammer, E. Huellermeier, in: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024, pp. 14388–14396.

SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification
P. Kolpaczki, M. Muschalik, F. Fumagalli, B. Hammer, E. Huellermeier, in: Proceedings of The 27th International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR, 2024, pp. 3520–3528.

KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions
F. Fumagalli, M. Muschalik, P. Kolpaczki, E. Hüllermeier, B. Hammer, in: Proceedings of the 41st International Conference on Machine Learning (ICML), PMLR, 2024, pp. 14308–14342.

shapiq: Shapley interactions for machine learning
M. Muschalik, H. Baniecki, F. Fumagalli, P. Kolpaczki, B. Hammer, E. Huellermeier, in: Advances in Neural Information Processing Systems (NeurIPS), 2024, pp. 130324–130357.

Approximating the shapley value without marginal contributions
P. Kolpaczki, V. Bengs, M. Muschalik, E. Hüllermeier, in: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024, pp. 13246–13255.

Quote to explain: Using multimodal metalinguistic markers to explain large language models’ understanding capabilities
M. Belosevic, H. Buschmeier, in: ICMI Companion ’24: Companion Proceedings of the 26th International Conference on Multimodal Interaction, ACM, San José, Costa Rica, 2024, pp. 225–227.