Publications
Overview of our Journal and Conference Papers:
Listed by year
2026
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, 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'.
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 >
MacDermott-Opeskin, H, Scheen, J, Wognum, C, Horton, JT, West, D, Payne, AM, Castellanos, MA, Colby, S, Griffen, E, Cousins, D, Stacey, J, Reid, L, Aschenbrenner, JC, Fearon, D, Balcomb, B, Marples, P, Tomlinson, CWE, Lithgo, R, Godoy, AS, Winokan, M, Barr, H, Lahav, N, Lavi, M, Duberstein, S, Cohen, G, Fate, G, Lefker, B, Robinson, R, Szommer, T, Lynch, N, Minh, DDL, La, VNT, Kang, L, Huddleston, K, Renslow, R, Tollefson, M, Walters, WP, Xu, C, Hsu, J, St-Laurent, J, Etsmoberg, H, Zhu, L, Quirke, A, Abdul Haleem, MI, Alibay, I, Baid, G, Birnbaum, B, Bishop, KP, Bohorquez, H, Bose, A, Brown, CJ, Burns, J, Cai, L, Cedeno, R, de Cesco, S, Chupakhin, V, Clark, F, Cole, DJ, Corbi-Verge, C, Danial, M, Davi, A, Dehaen, W, Doering, NP, Dougha, A, Dréanic, MP, Eakin, B, Ehrlich, A, Elijosius, R, Fülöp, J, Gitter, A, Goossens, K, Gu, Y, Head-Gordon, T, Hoffer, L, Hofmans, J, Jiang, E, Kaminow, B, Khosravi, S, Khoualdi, AF, Lenselink, EB, Liu, Z, Liu, Y, Liu, S, Ma, Y, Maher, P, Mayer, I, Mendez-Lucio, O, Mey, ASJS, Michel, J, Montanari, F, Niu, T, Ogino, R, Palaniappan, A, Pan, X, Patnaik, A, Pham, LH, Pinto, L, Purnomo, J, Rich, A, Schaaf, L, Schran, C, Singh, RK, Srilakshmi, M, Srivastava, SP, Sun, K, Sun, Z, Talagayev, V, Thirukonda Subramanian Balakrishnan, B, Titus, I, Tkatchenko, A, Treyde, W, Tricarico, G, Tripp, A, Vithayapalert, N, Wang, Y, Wasi, AT, Wedig, S, Wolber, G, Xu, B, Zhou, W, von Delft, F, Lee, A, Kirkegaard, K, Sjö, P, Fraser, JS & Chodera, JD 2026, 'A Computational Community Blind Challenge on Pan-Coronavirus Drug Discovery Data', Journal of Chemical Information and Modeling, vol. 66, no. 6, pp. 3129-3149. https://doi.org/10.1021/acs.jcim.5c02106
Kamath, G, Madathil, S, Schuster, S, de Marneffe, M-C & Reddy, S 2026 'Humans and LLMs Diverge on Probabilistic Inferences'.
Indri, P, Drucks, T & Gärtner, T 2026, On the trade-off between expressivity and privacy in graph representation learning. in The Fourteenth International Conference on Learning Representations. ICLR 2026, Rio de Janeiro, Brazil, 23/04/26. <https://openreview.net/forum?id=XXLDvwMwbe>