Publications
Overview of our Journal and Conference Papers:
Listed by year
2027
Alinejad, M & Hlavackova-Schindler, K 2027, CAR-MNAR: A Unified Factorial Framework for Robust Causal Discovery Under Self-masking MNAR. in M Ceci, D Kocev, A Monreale, C Vens, P Flach, G Manco, M Spiliopoulou & E Masciari (eds), Machine Learning and Knowledge Discovery in Databases. Research Track. Springer Nature Switzerland AG, Cham, pp. 603-622. <https://www.researchgate.net/publication/413589992_CAR-MNAR_A_Unified_Factorial_Framework_for_Robust_Causal_Discovery_Under_Self-masking_MNAR#fullTextFileContent>
2026
Kamath, G, Madathil, S, Schuster, S, de Marneffe, M-C & Reddy, S 2026, 'Humans and LLMs Diverge on Probabilistic Inferences', Transactions of the Association for Computational Linguistics, vol. 14, pp. 2057-2080. https://doi.org/10.1162/TACL.a.791
Schoenegger, L & Roth, B 2026, Compact Example-Based Explanations for Language Models. in Findings of the Association for Computational Linguistics: ACL 2026. Association for Computational Linguistics (ACL). https://doi.org/10.48550/arXiv.2601.03786
Schmude, T, Pahr, D, Koesten, L, Möller, T & Tschiatschek, S 2026, Humans-in-the-Contestability-Loop: Designing for Social Counselors to Understand and Challenge Algorithmic Decisions. in FAccT '26: The 2026 ACM Conference on Fairness, Accountability, and Transparency. ACM, Montreal QC Canada, pp. 1749-1783. https://doi.org/10.1145/3805689.3812271
Schmude, T, Koesten, L, Möller, T & Tschiatschek, S 2026, 'Better Together? On the Design and Use of Explanations to Support Novices in Individual and Collective Deliberations About AI', International Journal of Human-Computer-Interaction, pp. 1-41.
Xia, Y, Schoenegger, L & Roth, B 2026, Influential Training Data Retrieval for Explaining Verbalized Confidence of LLMs. in The 48th European Conference on Information Retrieval (ECIR 2026) . <https://link.springer.com/chapter/10.1007/978-3-032-21289-4_34>
Edwards, N & Schuster, S 2026 'Ask or Assume? Uncertainty-Aware Clarification-Seeking in Coding Agents'.
Wöß, R, Hlaváčková-Schindler, K, Schicker, I, Papazek, P & Plant, C 2026, 'The spatio-temporal visualization tool HMMLVis in renewable energy applications', Geoscientific Model Development, vol. 19, no. 6, pp. 2385-2405. https://doi.org/10.5194/gmd-19-2385-2026
Xia, Y, Stańczak, K & Roth, B 2026, Explaining Generalization of AI-Generated Text Detectors Through Linguistic Analysis. in V Demberg, K Inui & L Marquez (eds), Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics : (Volume 1: Long Papers). vol. 1, Association for Computational Linguistics (ACL), pp. 6524-6546. https://doi.org/10.18653/v1/2026.eacl-long.307
Azizi, N, Kriege, NM, Harvey, N & Bischof, H 2026, 'Spectral Basis Learning for Expressive Graph Neural Networks in Link Prediction', Proceedings of the ... National Conference on Artificial Intelligence, vol. 40, no. 24, pp. 19640-19648. <https://doi.org/10.1609/aaai.v40i24.39044 >