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Kornowicz, J., & Thommes, K. (2025). Algorithm, expert, or both? Evaluating the role of feature selection methods on user preferences and reliance. Plos One. https://doi.org/10.1371/journal.pone.0318874

Schulz, C. (2025). On “Super Likes” and Algorithmic (In)Visibilities: Frictions Between Social and Economic Logics in the Context of Social Media Platforms. Digital Culture & Society , 2/2023, 45–68. https://doi.org/10.14361/dcs-2023-0204

Singh, A., & Rohlfing, K. J. (2025). Contrastive Verbal Guidance: A Beneficial Context for Attention To Events and Their Memory? Cognitive Science, 49(8), Article e70096. https://doi.org/10.1111/cogs.70096

Kornowicz, J., Pape, M., & Thommes, K. (2025). Would I regret being different? The influence of social norms on attitudes toward AI usage. Arxiv. https://doi.org/10.48550/ARXIV.2509.04241

Wiechmann, J., & Wagner, P. (2025). Challenges and Limits in Explaining and Acoustic Modeling of Voice Characteristics. Journal of Voice. https://doi.org/10.1016/j.jvoice.2025.07.036

Karsten, A. (2025). Understanding personal agency through metaphor, or Why academic writing is (not) like a roller-coaster ride. Frontiers in Language Sciences, 4, Article 1567498. https://doi.org/10.3389/flang.2025.1567498

Mahmood, Y., Hecher, M., & Ngonga Ngomo, A.-C. (2025). Dung’s Argumentation Framework: Unveiling the Expressive Power with Inconsistent Databases. Proceedings of the AAAI Conference on Artificial Intelligence, 39(14), 15058–15066. https://doi.org/10.1609/aaai.v39i14.33651

Hannula, M., Hirvonen, M., Kontinen, J., Mahmood, Y., Meier, A., & Virtema, J. (2025). Logics with probabilistic team semantics and the Boolean negation. Journal of Logic and Computation, 35(3). https://doi.org/10.1093/logcom/exaf021

Klowait, N., & Erofeeva, M. (2025). The presentation of self in the age of ChatGPT. Frontiers in Sociology, 10, Article 1614473. https://doi.org/10.3389/fsoc.2025.1614473

Beierling, H., Beierling, R., & Vollmer, A.-L. (2025). The power of combined modalities in interactive robot learning. Frontiers in Robotics and AI, 12.

Baraka, K., Idrees, I., Faulkner, T. K., Biyik, E., Booth, S., Chetouani, M., Grollman, D. H., Saran, A., Senft, E., Tulli, S., Vollmer, A.-L., Andriella, A., Beierling, H., Horter, T., Kober, J., Sheidlower, I., Taylor, M. E., van Waveren, S., & Xiao, X. (n.d.). Human-Interactive Robot Learning: Definition, Challenges, and Recommendations. Transactions on Human-Robot Interaction.

de Filippi, P., Mannan, M., & Reijers, W. (2025). How to Govern the Confidence Machine? Regulation & Governance. https://doi.org/10.1111/rego.70017

Papenkordt, J., Ngonga Ngomo, A.-C., & Thommes, K. (2025). Are numerical or verbal explanations of AI the key to appropriate user reliance and error detection? Behaviour & Information Technology, 1–22. https://doi.org/10.1080/0144929x.2025.2568928

Porwol, P. F., & Scharlau, I. (2025). Is explaining more like showing or more like building? Agency in metaphors of explaining. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2025.1628706

Kornowicz, J. (2025). An Empirical Examination of the Evaluative AI Framework. International Journal of Human–Computer Interaction, 1–19. https://doi.org/10.1080/10447318.2025.2581260

Alpsancar, S., Buhl, H. M., Matzner, T., & Scharlau, I. (2025). Explanation needs and ethical demands: unpacking the instrumental value of XAI. AI and Ethics, 5, 3015–3033. https://doi.org/10.1007/s43681-024-00622-3

Buschmeier, H., Buhl, H. M., Kern, F., Grimminger, A., Beierling, H., Fisher, J. B., Groß, A., Horwath, I., Klowait, N., Lazarov, S. T., Lenke, M., Lohmer, V., Rohlfing, K., Scharlau, I., Singh, A., Terfloth, L., Vollmer, A.-L., Wang, Y., Wilmes, A., & Wrede, B. (2025). Forms of Understanding for XAI-Explanations. Cognitive Systems Research, 94, Article 101419. https://doi.org/10.1016/j.cogsys.2025.101419

Porwol, P. F., & Scharlau, I. (2025). What do metaphors of understanding hide? STUDIA NEOFILOLOGICZ: NEROZPRAWY JĘZYKOZNAWCZE (Modern Language Studies: Linguistic Essays), XXI, 181–198.

Lammert, O., Richter, B., Schütze, C., Thommes, K., & Wrede, B. (2024). Humans in XAI: Increased Reliance in Decision-Making Under Uncertainty by Using Explanation Strategies. Frontiers in Behavioral Economics. https://doi.org/10.3389/frbhe.2024.1377075

Heid, S., Hanselle, J. M., Fürnkranz, J., & Hüllermeier, E. (2024). Learning decision catalogues for situated decision making: The case of scoring systems. International Journal of Approximate Reasoning, 171, Article 109190. https://doi.org/10.1016/j.ijar.2024.109190

Buhl, H. M., Fisher, J. B., & Rohlfing, K. (2024). Changes in partner models – Effects of adaptivity in the course of explanations. Proceedings of the Annual Meeting of the Cognitive Science Society, 46.

Heid, S., Hanselle, J. M., Fürnkranz, J., & Hüllermeier, E. (2024). Learning decision catalogues for situated decision making: The case of scoring systems. International Journal of Approximate Reasoning, 171, Article 109190. https://doi.org/10.1016/j.ijar.2024.109190

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

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.

Lazarov, S. T., Biermeier, K., & Grimminger, A. (2024). Changes in the topical structure of explanations are related to explainees’ multimodal behaviour. Interaction Studies, 25(3), 257–280. https://doi.org/10.1075/is.23033.laz

Fisher, J. B., Rohlfing, K. J., Donnellan, E., Grimminger, A., Gu, Y., & Vigliocco, G. (2024). Explain with, rather than explain to: How explainees shape their own learning. Interaction Studies, 25(2), 244–255. https://doi.org/doi.org/10.1075/is.23019.fis

Karsten, A. (2024). Voices in Dialogue: Taking Polyphony in Academic Writing Seriously. Written Communication, 41(1), 6–36. https://doi.org/10.1177/07410883231207104

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

Kornowicz, J. (2024). An Empirical Examination of the Evaluative AI Framework. ArXiv. https://doi.org/10.48550/ARXIV.2411.08583

Johnson, D., Hakobyan, O., Paletschek, J., & Drimalla, H. (2024). Explainable AI for Audio and Visual Affective Computing: A Scoping Review. IEEE Transactions on Affective Computing, 16(2), 518–536. https://doi.org/10.1109/taffc.2024.3505269

Beierling, H., Richter, P., Brandt, M., Terfloth, L., Schulte, C., Wersing, H., & Vollmer, A.-L. (2024). What you need to know about a learning robot: Identifying the enabling  architecture of complex systems. Cognitive Systems Research, 88.

Kornowicz, J., & Thommes, K. (2023). Aggregating Human Domain Knowledge for Feature Ranking. Artificial Intelligence in HCI. https://doi.org/10.1007/978-3-031-35891-3_7

Groß, A., Schütze, C., Brandt, M., Wrede, B., & Richter, B. (2023). RISE: an open-source architecture for interdisciplinary and reproducible human–robot interaction research. Frontiers in Robotics and AI, 10. https://doi.org/10.3389/frobt.2023.1245501

Schulz, C. (2023). From mental models to algorithmic imaginaries to co-constructive mental models. Navigationen – Zeitschrift Für Medien- Und Kulturwissenschaften , 2, 65–75. http://dx.doi.org/10.25819/ubsi/10428

Schulz, C., & Schröter, J. (2023). Tech/Imaginations – Introduction. Navigationen – Zeitschrift Für Medien- Und Kulturwissenschaften , 2, 7–14. http://dx.doi.org/10.25819/ubsi/10428

Schulz, C. (2023). A new algorithmic imaginary. Media, Culture & Society, 45(3), 646–655. https://doi.org/10.1177/01634437221136014

Richter, B., Putze, F., Ivucic, G., Brandt, M., Schütze, C., Reisenhofer, R., Wrede, B., & Schultz, T. (2023). EEG Correlates of Distractions and Hesitations in Human–Robot Interaction: A LabLinking Pilot Study. Multimodal Technologies and Interaction, 7(4), Article 37. https://doi.org/10.3390/mti7040037

Esposito, E. (2023). Does Explainability Require Transparency? Sociologica, 16(3), 17–27. https://doi.org/10.6092/ISSN.1971-8853/15804

Esposito, E. (2023). Explaining Machines: Social Management of Incomprehensible Algorithms. Introduction. Sociologica, 16(3), 1–4. https://doi.org/10.6092/ISSN.1971-8853/16265

Klowait, N. (2023). On the Multimodal Resolution of a Search Sequence in Virtual Reality. Human Behavior and Emerging Technologies, 2023, 1–15. https://doi.org/10.1155/2023/8417012

Klowait, N., & Erofeeva, M. (2023). Halting the Decay of Talk. Social Interaction. Video-Based Studies of Human Sociality, 6(1). https://doi.org/10.7146/si.v6i1.136903

Groß, A., Singh, A., Banh, N. C., Richter, B., Scharlau, I., Rohlfing, K. J., & Wrede, B. (2023). Scaffolding the human partner by contrastive guidance in an explanatory human-robot dialogue. Frontiers in Robotics and AI, 10. https://doi.org/10.3389/frobt.2023.1236184

Fumagalli, F., Muschalik, M., Hüllermeier, E., & Hammer, B. (2023). Incremental permutation feature importance (iPFI): towards online explanations on data streams. Machine Learning, 112(12), 4863–4903. https://doi.org/10.1007/s10994-023-06385-y

Artelt, A., Visser, R., & Hammer, B. (2023). “I do not know! but why?” — Local model-agnostic example-based explanations of reject. Neurocomputing, 558, Article 126722. https://doi.org/10.1016/j.neucom.2023.126722

Reijers, W. (2023). Technology and Civic Virtue. Philosophy & Technology, 36(4), Article 71. https://doi.org/10.1007/s13347-023-00669-w

Schmid, U., & Wrede, B. (2022). What is Missing in XAI So Far? KI - Künstliche Intelligenz, 36(3–4), 303–315. https://doi.org/10.1007/s13218-022-00786-2

Schmid, U., & Wrede, B. (2022). Explainable AI. KI - Künstliche Intelligenz, 36(3–4), 207–210. https://doi.org/10.1007/s13218-022-00788-0

Wrede, B. (2022). AI: Back to the Roots? KI - Künstliche Intelligenz, 36(2), 117–120. https://doi.org/10.1007/s13218-022-00773-7

Rohlfing, K., Vollmer, A.-L., Fritsch, J., & Wrede, B. (2022). Which “motionese” parameters change with children’s age? Disentangling attention-getting from action-structuring modifications. Frontiers in Communication, 7. https://doi.org/10.3389/fcomm.2022.922405

Muschalik, M., Fumagalli, F., Hammer, B., & Huellermeier, E. (2022). Agnostic Explanation of Model Change based on Feature Importance. KI - Künstliche Intelligenz, 36(3–4), 211–224. https://doi.org/10.1007/s13218-022-00766-6

Axelsson, A., Buschmeier, H., & Skantze, G. (2022). Modeling Feedback in Interaction With Conversational Agents—A Review. Frontiers in Computer Science, 4. https://doi.org/10.3389/fcomp.2022.744574

Fisher, J. B., Lohmer, V., Kern, F., Barthlen, W., Gaus, S., & Rohlfing, K. (2022). Exploring monological and dialogical phases in naturally occurring explanations. KI - Künstliche Intelligenz, 36(3–4), 317–326. https://doi.org/10.1007/s13218-022-00787-1

Rohlfing, K. J., Cimiano, P., Scharlau, I., Matzner, T., Buhl, H. M., Buschmeier, H., Esposito, E., Grimminger, A., Hammer, B., Haeb-Umbach, R., Horwath, I., Hüllermeier, E., Kern, F., Kopp, S., Thommes, K., Ngonga Ngomo, A.-C., Schulte, C., Wachsmuth, H., Wagner, P., & Wrede, B. (2021). Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems. IEEE Transactions on Cognitive and Developmental Systems, 13(3), 717–728. https://doi.org/10.1109/tcds.2020.3044366

Budde, L., Schulte, C., Buhl, H. M., & Muehling, A. (2020). Understanding and Explaining Digital Artefacts - the Role of a Duality (Accepted Paper - Digital Publication Follows). Seventh International Conference on Learning and Teaching in Computing and Engineeringe.

Menne, A. L., & Schulz, C. (n.d.). Social Context in Human-AI Interaction (HAI): A Theoretical Framework Based on Multi-Perspectival Imaginaries. In C. Stephanidis, M. Antona, S. Ntoa, & G. Salvendy (Eds.), HCI International 2026 Posters: 28th International Conference on Human-Computer Interaction, HCI 2026, Montreal, Canada, July 26-31, 2026, Proceedings. Springer International Publishing.

Rautenberg, F., Kuhlmann, M., Seebauer, F., Wiechmann, J., Wagner, P., & Haeb-Umbach, R. (2025). Speech Synthesis along Perceptual Voice Quality Dimensions. ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India . https://doi.org/10.1109/icassp49660.2025.10888012

Rautenberg, F., Seebauer, F., Wiechmann, J., Kuhlmann, M., Wagner, P., & Haeb-Umbach, R. (2025). Synthesizing Speech with Selected Perceptual Voice Qualities – A Case Study with Creaky Voice. Interspeech 2025. Interspeech, Rotterdam. https://doi.org/10.21437/Interspeech.2025-1443

Sengupta, M., Muschalik, M., Fumagalli, F., Hammer, B., Hüllermeier, E., Ghosh, D., & Wachsmuth, H. (2025). Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions. Accepted in Findings . Empirical Methods in Natural Language Processing (EMNLP 2025).

Muschalik, M., Fumagalli, F., Frazzetto, P., Strotherm, J., Hermes, L., Sperduti, A., Hüllermeier, E., & Hammer, B. (2025). Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks. The Thirteenth International Conference on Learning Representations (ICLR).

Visser, R., Fumagalli, F., Hüllermeier, E., & Hammer, B. (2025). Explaining Outliers using Isolation Forest and Shapley Interactions. Proceedings of the European Symposium on Artificial Neural Networks (ESANN).

Fumagalli, F., Muschalik, M., Hüllermeier, E., Hammer, B., & Herbinger, J. (2025). Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory. Proceedings of The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), 258, 5140–5148.

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., & Wachsmuth, H. (n.d.). Investigating Co-Constructive Behavior of Large Language Models in  Explanation Dialogues. Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue. Annual Meeting of the Special Interest Group on Discourse and Dialogue.

Spliethöver, M., Knebler, T., Fumagalli, F., Muschalik, M., Hammer, B., Hüllermeier, E., & Wachsmuth, H. (2025). Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection. 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) (pp. 2421–2449). Association for Computational Linguistics.

Lenke, M., Lehner, L., & Landman, M. (2025). “I’m Actually More Interested in AI Than in Computer Science” - 12-Year-Olds Describing Their First Encounter with AI. 2025 IEEE Global Engineering Education Conference (EDUCON). https://doi.org/10.1109/educon62633.2025.11016657

Lenke, M., & Schulte, C. (2025). Enhancing AI Interaction through Co-Construction: A Multi-Faceted Workshop Framework. 2025 IEEE Global Engineering Education Conference (EDUCON). https://doi.org/10.1109/educon62633.2025.11016326

Battefeld, D., & Kopp, S. (2025). Implementing a computational cognitive process model of medical diagnostic reasoning. Proceedings of KogWis 2025: Conference of the German Cognitive Science Society. Flexible Minds: Situated and Comparative Perspectives (KogWis 2025), Bochum, Germany.

Singh, A., & Rohlfing, K. J. (2025). Manners Matter: Action history guides attention and repair choices during interaction. IEEE International Conference on Development and Learning (ICDL). IEEE International Conference on Development and Learning (ICDL), Prague. https://doi.org/10.31234/osf.io/yn2we_v1

Singh, A., & Rohlfing, K. J. (2025). Embedding Psycholinguistics: An Interactive Framework for Studying Language in Action. 6th Biannual Conference of the German Society for Cognitive Science, Bochum, Germany. 6th Biannual Conference of the German Society for Cognitive Science, Bochum, Germany, Bochum. https://doi.org/10.17605/OSF.IO/8PR23

Thommes, K., Lammert, O., Schütze, C., Richter, B., & Wrede, B. (2024). Human Emotions in AI Explanations. Communications in Computer and Information Science. https://doi.org/10.1007/978-3-031-63803-9_15

Sengupta, M., El Baff, R., Alshomary, M., & Wachsmuth, H. (2024). Analyzing the Use of Metaphors in News Editorials for Political Framing. In K. Duh, H. Gomez, & S. Bethard (Eds.), Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) (pp. 3621–3631). Association for Computational Linguistics.

Liedeker, F., Sanchez-Graillet, O., Seidler, M., Brandt, C., Wellmer, J., & Cimiano, P. (n.d.). A User Study Evaluating Argumentative Explanations in Diagnostic Decision Support. First Workshop on Natural Language Argument-Based Explanations, Santiago de Compostela, Spain.

Liedeker, F., Düsing, C., Nieveler, M., & Cimiano, P. (2024). An Empirical Investigation of Users’ Assessment of XAI Explanations: Identifying the Sweet-Spot of Explanation Complexity. 2nd World Conference on eXplainable Artificial Intelligence, Valetta, Malta.

Battefeld, D., Liedeker, F., Cimiano, P., & Kopp, S. (2024). ASCODI: An XAI-based interactive reasoning support system for justifiable medical diagnosing. Proceedings of the 1st Workshop on Multimodal, Affective and Interactive EXplainable AI (MAI-XAI). European Conference on Artificial Intelligence (ECAI), Santiago de Compostela, Spain.

Singh, A., & Rohlfing, K. J. (2024). Coupling of Task and Partner Model: Investigating the Intra-Individual Variability in Gaze during Human–Robot Explanatory Dialogue. Proceedings of 26th ACM International Conference on Multimodal Interaction (ICMI 2024). 26th ACM International Conference on Multimodal Interaction (ICMI 2024), San Jose, Costa Rica. https://doi.org/10.1145/3686215.3689202

Schütze, C., Richter, B., Lammert, O., Thommes, K., & Wrede, B. (2024). Static Socio-demographic and Individual Factors for Generating Explanations in XAI: Can they serve as a prior in DSS for adaptation of explanation strategies? HAI ’24: Proceedings of the 12th International Conference on Human-Agent Interaction, 141–149. https://doi.org/10.1145/3687272.3688300

Thommes, K., Lammert, O., Schütze, C., Richter, B., & Wrede, B. (2024). Human Emotions in AI Explanations.

Lazarov, S. T., & Grimminger, A. (2024). Variations in explainers’ gesture deixis in explanations related to the monitoring of explainees’ understanding. Proceedings of the Annual Meeting of the Cognitive Science Society, 46.

Schaffer, M. E., Terfloth, L., Schulte, C., & Buhl, H. M. (2024). Perception and Consideration of the Explainees’ Needs for Satisfying Explanations. 2nd World Conference on eXplainable Artificial Intelligence, Valletta, Malta.

Schaffer, M. E., Terfloth, L., Schulte, C., & Buhl, H. M. (2024). Explainers’ Mental Representations of Explainees’ Needs in Everyday Explanations. Joint Proceedings of the XAI-2024 Late-Breaking Work, Demos and Doctoral Consortium. 3793.

Heid, S., Kornowicz, J., Hanselle, J. M., Hüllermeier, E., & Thommes, K. (2024). Human-AI Co-Construction of Interpretable Predictive Models: The Case of Scoring Systems. PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE, 21, 233.

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.

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

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

Mahmood, Y., Hecher, M., & Ngonga Ngomo, A.-C. (2024). Dung’s Argumentation Framework: Unveiling the Expressive Power with  Inconsistent Databases. https://doi.org/10.1609/AAAI.V39I14.33651

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

Hecher, M., Mahmood, Y., Meier, A., & Schmidt, J. (2024). Quantitative Claim-Centric Reasoning in Logic-Based Argumentation. Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence. https://doi.org/10.24963/ijcai.2024/377

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.

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

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

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

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.

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

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

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.

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.

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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