Steging, C., Renooij, S., & Verheij, B. (2025). Parameterized argumentation-based reasoning tasks for benchmarking generative language models. The 20th International Conference on Artificial Intelligence and Law (ICAIL 2025). PDF
C. Steging, L. van Leeuwen, T. Zbiegién, D. Wedda, and J. Liu (2025). Investigating expert-based prompt engineering for legal entailment tasks. COLIEE 2025: The 12th Competition on Legal Information Extraction and Entailment. PDF
E. Musi, N. Kokciyan, K. Al-Khatib, D. Ceolin, E. Dietz, K. Gutekunst, A. Hautli-Janisz, C.M. Santiba˜nez Ya˜nez, J. Schneider, J. Scholz, C. Steging, J. Visser, and H. Wachsmuth (2025). Toward reasonable parrots: Why large language models should argue with us by design. In: The 12th Workshop on Argument Mining, co-located with ACL 2025, Vienna, Austria. PDF
Steging, C., Renooij, S., & Verheij, B. (2024). C. Steging, S. Renooij, and B. Verheij. Evaluating generative language models with argument attack chains. In: AI4A2J@JURIX 2024. AI for Access to Justice Workshop, co-located with 37th International Conference on Legal Knowledge and Information Systems (JURIX 2024), Brno, Czech Republic. PDF
Steging, C. (2024). Designing Responsible Artificial Intelligence: Hybrid Approaches for Aligning Learning and Reasoning. PhD thesis. PDF
Steging, C., van Leeuwen, L. (2024). A hybrid approach to legal textual entailment. In: Proceedings of the Eighteenth International Workshop on Juris-Informatics (JURISIN 2024), 154-169. Hamamatsu, Japan. PDF
Steging, C., Renooij, S., & Verheij, B. (2023). Improving Rationales with Small, Inconsistent and Incomplete Data. Legal Knowledge and Information Systems. JURIX 2023: The Thirty-sixth Annual Conference (ed. Sileno, G., Spanakis, J., van Dijck, G.), 53-62. Amsterdam: IOS Press. PDF
Steging, C., Renooij, S., & Verheij, B. (2023). Taking the Law More Seriously by Investigating Design Choices in Machine Learning Prediction Research. In: 6th Workshop on Automated Semantic Analysis of Information in Legal Text (ASAIL 2023), 49-59. CEUR Workshop Proceedings. PDF
Steging, C., Renooij, S., & Verheij, B. (2023). Arguments, Rules and Cases in Law: Resources for Aligning Learning and Reasoning in Structured Domains. Argument & Computation – Volume 14, 235-243. Amsterdam: IOS Press. PDF
Steging, C., Renooij, S., & Verheij, B. (2022). Discovering the Rationale of Decisions. In HHAI2022: Augmenting Human Intellect (pp. 255-257). IOS Press. PDF
Steging, C., Renooij, S., & Verheij, B. (2021). Rationale Discovery and Explainable AI. Legal Knowledge and Information Systems. JURIX 2021: The Thirty-fourth Annual Conference (ed. Schweighofer, E.), 225-234. Amsterdam: IOS Press. PDF
Steging, C., Renooij, S., & Verheij, B. (2021). Discovering the Rationale of Decisions: Towards a Method for Aligning Learning and Reasoning. The 18th International Conference on Artificial Intelligence and Law (ICAIL 2021). Proceedings of the Conference, 235-239. New York (New York): ACM. PDF
Steging C., Renooij S., Verheij, B.. Discovering the Rationale of Decisions: Experiments on Aligning Learning and Reasoning. In: 4th EXplainable AI in Law Workshop (XAILA 2021). ACM; 2021. PDF
Steging, C., Schomaker, L.R.B., & Verheij, B. (2019). The XAI Paradox: systems that perform well for the wrong reasons (abstract). BNAIC/BENELEARN 2019. Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019). Brussels, Belgium, November 6-8, 2019 (eds. Beuls, K. , Bogaerts, B., Bontempi, G., Geurts, P., Harley, N., Lebichot, B., Lenaerts, T., Louppe, G., & Van Eecke, P.). CEUR Workshop Proceedings. PDF