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116 Publications
2024 | Journal Article | LibreCat-ID: 53072 | 
Banh, N. C., Tünnermann, J., Rohlfing, K. J., & Scharlau, I. (2024). Benefiting from Binary Negations? Verbal Negations Decrease Visual Attention and Balance Its Distribution. Frontiers in Psychology, 15. https://doi.org/10.3389/fpsyg.2024.1451309
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2024 | Conference Paper | LibreCat-ID: 55404
Alshomary, M., Lange, F., Booshehri, M., Sengupta, M., Cimiano, P., & Wachsmuth, H. (2024). Modeling the Quality of Dialogical Explanations. In N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti, & N. Xue (Eds.), Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (pp. 11523–11536). ELRA and ICCL.
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2024 | Journal Article | LibreCat-ID: 58109 |
Scharlau, I., Körber, M., Sengupta, M., & Wachsmuth, H. (2024). When to use a metaphor: Metaphors in dialogical explanations with addressees of different expertise. Frontiers in Language Sciences, 3, 1474924.
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2024 | Conference Paper | LibreCat-ID: 55403 |
Buschmeier, H., Cimiano, P., Kopp, S., Kornowicz, J., Lammert, O., Matarese, M., Mindlin, D., Robrecht, A. S., Vollmer, A.-L., Wagner, P., Wrede, B., & Booshehri, M. (2024). Towards a Computational Architecture for Co-Constructive Explainable Systems. Proceedings of the 2024 Workshop on Explainability Engineering, 20–25. https://doi.org/10.1145/3648505.3648509
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2024 | Conference Paper | LibreCat-ID: 55912
Türk, O., Lazarov, S. T., Wang, Y., Buschmeier, H., Grimminger, A., & Wagner, P. (2024). Predictability of understanding in explanatory interactions based on multimodal cues. Proceedings of the 26th ACM International Conference on Multimodal Interaction, 449–458. https://doi.org/10.1145/3678957.3685741
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2024 | Conference Paper | LibreCat-ID: 61179 |
Sieker, J., Junker, S., Utescher, R., Attari, N., Wersing, H., Buschmeier, H., & Zarrieß, S. (2024). The illusion of competence: Evaluating the effect of explanations on users’ mental models of visual question answering systems. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 19459–19475. https://doi.org/10.18653/v1/2024.emnlp-main.1084
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2024 | Conference Paper | LibreCat-ID: 55917 |
Booshehri, M., Buschmeier, H., & Cimiano, P. (2024). Towards a BFO-based ontology of understanding in explanatory interactions. Proceedings of the 4th International Workshop on Data Meets Applied Ontologies in Explainable AI (DAO-XAI). 4th International Workshop on Data Meets Applied Ontologies in Explainable AI (DAO-XAI), Santiago de Compostela, Spain.
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2024 | Conference Paper | LibreCat-ID: 61177 |
Xu, Y., Wang, Y., An, H., Liu, Z., & Li, Y. (2024). Detecting subtle differences between human and model languages using spectrum of relative likelihood. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 10108–10121. https://doi.org/10.18653/v1/2024.emnlp-main.564
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2024 | Conference Abstract | LibreCat-ID: 56985
Buschmeier, H., Kopp, S., & Hassan, T. (2024). Multimodal Co-Construction of Explanations with XAI Workshop. Proceedings of the 26th ACM International Conference on Multimodal Interaction, 698–699. https://doi.org/10.1145/3678957.3689205
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2024 | Conference Paper | LibreCat-ID: 55916
Booshehri, M., Buschmeier, H., & Cimiano, P. (2024). A model of factors contributing to the success of dialogical explanations. Proceedings of the 26th ACM International Conference on Multimodal Interaction, 373–381. https://doi.org/10.1145/3678957.3685744
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2024 | Conference Paper | LibreCat-ID: 55995 |
Pilán, I., Prévot, L., Buschmeier, H., & Lison, P. (2024). Conversational feedback in scripted versus spontaneous dialogues: A comparative analysis. Proceedings of the 25th Meeting of the Special Interest Group on Discourse and Dialogue, 440–457. https://doi.org/10.18653/v1/2024.sigdial-1.38
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2024 | Conference Paper | LibreCat-ID: 55913 |
Wagner, P., Włodarczak, M., Buschmeier, H., Türk, O., & Gilmartin, E. (2024). Turn-taking dynamics across different phases of explanatory dialogues. Proceedings of the 28th Workshop on the Semantics and Pragmatics of Dialogue, 6–14.
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2024 | Journal Article | LibreCat-ID: 56190
Klowait, N., Erofeeva, M., Lenke, M., Horwath, I., & Buschmeier, H. (2024). Can AI explain AI? Interactive co-construction of explanations among human and artificial agents. Discourse & Communication, 18(6), 917–930. https://doi.org/10.1177/17504813241267069
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2024 | Conference Paper | LibreCat-ID: 58224
Kenneweg, P., Kenneweg, T., Fumagalli, F., & Hammer, B. (2024). No learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation. 2024 International Joint Conference on Neural Networks (IJCNN), 1–8. https://doi.org/10.1109/IJCNN60899.2024.10650124
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2024 | Conference Paper | LibreCat-ID: 53073
Muschalik, M., Fumagalli, F., Hammer, B., & Huellermeier, E. (2024). Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 38(13), 14388–14396. https://doi.org/10.1609/aaai.v38i13.29352
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2024 | Conference Paper | LibreCat-ID: 55311
Kolpaczki, P., Muschalik, M., Fumagalli, F., Hammer, B., & Huellermeier, E. (2024). SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification. Proceedings of The 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 238, 3520–3528.
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2024 | Conference Paper | LibreCat-ID: 58223
Fumagalli, F., Muschalik, M., Kolpaczki, P., Hüllermeier, E., & Hammer, B. (2024). KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions. Proceedings of the 41st International Conference on Machine Learning (ICML), 235, 14308–14342.
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2024 | Conference Paper | LibreCat-ID: 61228
Muschalik, M., Baniecki, H., Fumagalli, F., Kolpaczki, P., Hammer, B., & Huellermeier, E. (2024). shapiq: Shapley interactions for machine learning. Advances in Neural Information Processing Systems (NeurIPS), 37, 130324–130357.
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2024 | Conference Paper | LibreCat-ID: 61230
Kolpaczki, P., Bengs, V., Muschalik, M., & Hüllermeier, E. (2024). Approximating the shapley value without marginal contributions. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 38(12), 13246–13255.
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2024 | Conference Paper | LibreCat-ID: 61176 |
Wang, Y., & Buschmeier, H. (2024). Revisiting the phenomenon of syntactic complexity convergence on German dialogue data. Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024), 75–80.
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