| 2025 | ICLR | Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation. | Tobias Leemann, Periklis Petridis, Giuseppe Vietri, Dionysis Manousakas, Aaron Roth, Sergl Aydre |
| 2024 | AAAI | I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data. | Tobias Leemann, Martin Pawelczyk, Christian Thomas Eberle, Gjergji Kasneci |
| 2024 | EMNLP | The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI. | Miriam Schirmer, Tobias Leemann, Gjergji Kasneci, Jrgen Pfeffer, David Jurgens |
| 2024 | KDD | Unifying Evolution, Explanation, and Discernment: A Generative Approach for Dynamic Graph Counterfactuals. | Bardh Prenkaj, Mario Villaizn-Vallelado, Tobias Leemann, Gjergji Kasneci |
| 2023 | ICLR | Language Models are Realistic Tabular Data Generators. | Vadim Borisov, Kathrin Seler, Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci |
| 2023 | ICLR | On the Trade-Off between Actionable Explanations and the Right to be Forgotten. | Martin Pawelczyk, Tobias Leemann, Asia Biega, Gjergji Kasneci |
| 2023 | UAI | When are post-hoc conceptual explanations identifiable? | Tobias Leemann, Michael Kirchhof, Yao Rong, Enkelejda Kasneci, Gjergji Kasneci |
| 2022 | ICML | A Consistent and Efficient Evaluation Strategy for Attribution Methods. | Yao Rong, Tobias Leemann, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci |
| 2021 | ESANN | Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling. | Tobias Leemann, Moritz Sackmann, Jrn Thielecke, Ulrich Hofmann |