| 2026 | ACL | Analysing the Safety Pitfalls of Steering Vectors. | Yuxiao Li, Alina Fastowski, Efstratios Zaradoukas, Bardh Prenkaj, Gjergji Kasneci |
| 2026 | ACL | SAGE: Sparse Adaptive Guidance for Dependency-Aware Tabular Data Generation. | Shuo Yang, Zheyu Zhang, Bardh Prenkaj, Gjergji Kasneci |
| 2026 | ACL | Where Paths Split: Localized, Calibrated Control of Moral Reasoning in Large Language Models. | Chenchen Yuan, Zheyu Zhang, Gjergji Kasneci |
| 2025 | AAAI | RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting. | Shuo Yang, Bardh Prenkaj, Gjergji Kasneci |
| 2025 | ACL | Probabilistic Aggregation and Targeted Embedding Optimization for Collective Moral Reasoning in Large Language Models. | Chenchen Yuan, Zheyu Zhang, Shuo Yang, Bardh Prenkaj, Gjergji Kasneci |
| 2025 | AIES | GermanPartiesQA: Benchmarking Commercial Large Language Models and AI Companions for Political Alignment and Sycophancy. | Jan Batzner, Volker Stocker, Stefan Schmid, Gjergji Kasneci |
| 2025 | AIES | Whose Personae? Synthetic Persona Experiments in LLM Research and Pathways to Transparency. | Jan Batzner, Volker Stocker, Bingjun Tang, Anusha Natarajan, Qinhao Chen, Stefan Schmid, Gjergji Kasneci |
| 2025 | AIES | When Explainability Meets Privacy: An Investigation at the Intersection of Post-hoc Explainability and Differential Privacy in the Context of Natural Language Processing. | Mahdi Dhaini, Stephen Meisenbacher, Ege Erdogan, Florian Matthes, Gjergji Kasneci |
| 2025 | AIES | Adoption of Explainable Natural Language Processing: Perspectives from Industry and Academia on Practices and Challenges. | Mahdi Dhaini, Tobias Mller, Roksoliana Rabets, Gjergji Kasneci |
| 2025 | EMNLP | From Confidence to Collapse in LLM Factual Robustness. | Alina Fastowski, Bardh Prenkaj, Gjergji Kasneci |
| 2025 | EMNLP | CURE: Controlled Unlearning for Robust Embeddings - Mitigating Conceptual Shortcuts in Pre-Trained Language Models. | Aysenur Kocak, Shuo Yang, Bardh Prenkaj, Gjergji Kasneci |
| 2025 | EMNLP | Doubling Your Data in Minutes: Ultra-fast Tabular Data Generation via LLM-Induced Dependency Graphs. | Shuo Yang, Zheyu Zhang, Bardh Prenkaj, Gjergji Kasneci |
| 2025 | EMNLP | Not All Features Deserve Attention: Graph-Guided Dependency Learning for Tabular Data Generation with Language Models. | Zheyu Zhang, Shuo Yang, Bardh Prenkaj, Gjergji Kasneci |
| 2025 | ICANN | Can LLM-Generated Textual Explanations Enhance Model Classification Performance? An Empirical Study. | Mahdi Dhaini, Juraj Vladika, Ege Erdogan, Zineb Attaoui, Gjergji Kasneci |
| 2025 | ICML | Position: Uncertainty Quantification Needs Reassessment for Large Language Model Agents. | Michael Kirchhof, Gjergji Kasneci, Enkelejda Kasneci |
| 2025 | ICML | Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers. | Roman Abramov, Felix Steinbauer, Gjergji Kasneci |
| 2025 | ICML | Graph Inverse Style Transfer for Counterfactual Explainability. | Bardh Prenkaj, Efstratios Zaradoukas, Gjergji Kasneci |
| 2025 | ICML | SCISSOR: Mitigating Semantic Bias through Cluster-Aware Siamese Networks for Robust Classification. | Shuo Yang, Bardh Prenkaj, Gjergji Kasneci |
| 2025 | LAK | Who Did What to Succeed? Individual Differences in Which Learning Behaviors Are Linked to Achievement. | Hannah Deininger, Cora Parrisius, Rosa Lavelle-Hill, Detmar Meurers, Ulrich Trautwein, Benjamin Nagengast, Gjergji Kasneci |
| 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 | ACL | P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models. | Shuo Yang, Chenchen Yuan, Yao Rong, Felix Steinbauer, Gjergji Kasneci |
| 2024 | COLING | Is Crowdsourcing Breaking Your Bank? Cost-Effective Fine-Tuning of Pre-trained Language Models with Proximal Policy Optimization. | Shuo Yang, Gjergji Kasneci |
| 2024 | ECAI | Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule. | Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, 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 | INLG | Explainability Meets Text Summarization: A Survey. | Mahdi Dhaini, Ege Erdogan, Smarth Bakshi, Gjergji Kasneci |
| 2024 | KDD | Unifying Evolution, Explanation, and Discernment: A Generative Approach for Dynamic Graph Counterfactuals. | Bardh Prenkaj, Mario Villaizn-Vallelado, Tobias Leemann, Gjergji Kasneci |
| 2023 | AAAI | Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees. | Artjom Zern, Klaus Broelemann, Gjergji Kasneci |
| 2023 | AIED | Can You Solve This on the First Try? - Understanding Exercise Field Performance in an Intelligent Tutoring System. | Hannah Deininger, Rosa Lavelle-Hill, Cora Parrisius, Ines Pieronczyk, Leona Colling, Detmar Meurers, Ulrich Trautwein, Benjamin Nagengast, Gjergji Kasneci |
| 2023 | ICDM | Counterfactual Explanation for Regression via Disentanglement in Latent Space. | Xuan Zhao, Klaus Broelemann, Gjergji Kasneci |
| 2023 | ICLR | Language Models are Realistic Tabular Data Generators. | Vadim Borisov, Kathrin Seler, Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci |
| 2023 | ICLR | Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse. | Martin Pawelczyk, Teresa Datta, Johannes van den Heuvel, Gjergji Kasneci, Himabindu Lakkaraju |
| 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 | AIES | Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation. | Alejandra Bringas Colmenarejo, Luca Nannini, Alisa Rieger, Kristen M. Scott, Xuan Zhao, Gourab K. Patro, Gjergji Kasneci, Katharina Kinder-Kurlanda |
| 2022 | CIKM | Change Detection for Local Explainability in Evolving Data Streams. | Johannes Haug, Alexander Braun, Stefan Zrn, Gjergji Kasneci |
| 2022 | ETRA | Regressive Saccadic Eye Movements on Fake News. | Efe Bozkir, Gjergji Kasneci, Sonja Utz, Enkelejda Kasneci |
| 2022 | ICDE | Dynamic Model Tree for Interpretable Data Stream Learning. | Johannes Haug, Klaus Broelemann, Gjergji Kasneci |
| 2022 | ICML | A Consistent and Efficient Evaluation Strategy for Attribution Methods. | Yao Rong, Tobias Leemann, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci |
| 2022 | MICCAI | BoxShrink: From Bounding Boxes to Segmentation Masks. | Michael Grger, Vadim Borisov, Gjergji Kasneci |
| 2021 | BMVC | SPARROW: Semantically Coherent Prototypes for Image Classification. | Stefan Kraft, Klaus Broelemann, Andreas Theissler, Gjergji Kasneci |
| 2021 | ISMAR | TEyeD: Over 20 Million Real-World Eye Images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement Types. | Wolfgang Fuhl, Gjergji Kasneci, Enkelejda Kasneci |
| 2020 | AAAI | Training Decision Trees as Replacement for Convolution Layers. | Wolfgang Fuhl, Gjergji Kasneci, Wolfgang Rosenstiel, Enkelejda Kasneci |
| 2020 | ETRA | A MinHash approach for fast scanpath classification. | David Geisler, Nora Castner, Gjergji Kasneci, Enkelejda Kasneci |
| 2020 | ICPR | Learning Parameter Distributions to Detect Concept Drift in Data Streams. | Johannes Haug, Gjergji Kasneci |
| 2020 | ICPR | Aggregating Dependent Gaussian Experts in Local Approximation. | Hamed Jalali, Gjergji Kasneci |
| 2020 | KDD | Leveraging Model Inherent Variable Importance for Stable Online Feature Selection. | Johannes Haug, Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci |
| 2020 | WWW | Learning Model-Agnostic Counterfactual Explanations for Tabular Data. | Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci |
| 2020 | UAI | On Counterfactual Explanations under Predictive Multiplicity. | Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci |
| 2019 | ICANN | CancelOut: A Layer for Feature Selection in Deep Neural Networks. | Vadim Borisov, Johannes Haug, Gjergji Kasneci |
| 2019 | IJCAI | A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees. | Klaus Broelemann, Gjergji Kasneci |
| 2017 | ICDE | LTD-RBM: Robust and Fast Latent Truth Discovery Using Restricted Boltzmann Machines. | Klaus Broelemann, Thomas Gottron, Gjergji Kasneci |
| 2016 | CIKM | LICON: A Linear Weighting Scheme for the Contribution ofInput Variables in Deep Artificial Neural Networks. | Gjergji Kasneci, Thomas Gottron |
| 2015 | KI | A Serendipity Model for News Recommendation. | Maximilian Jenders, Thorben Lindhauer, Gjergji Kasneci, Ralf Krestel, Felix Naumann |
| 2015 | WWW | Tweet-Recommender: Finding Relevant Tweets for News Articles. | Ralf Krestel, Thomas Werkmeister, Timur Pratama Wiradarma, Gjergji Kasneci |
| 2014 | BPM | Temporal Anomaly Detection in Business Processes. | Andreas Rogge-Solti, Gjergji Kasneci |
| 2014 | CIKM | Estimating the Number and Sizes of Fuzzy-Duplicate Clusters. | Arvid Heise, Gjergji Kasneci, Felix Naumann |
| 2014 | COLING | BEL: Bagging for Entity Linking. | Zhe Zuo, Gjergji Kasneci, Toni Grtze, Felix Naumann |
| 2014 | ETRA | The applicability of probabilistic methods to the online recognition of fixations and saccades in dynamic scenes. | Enkelejda Kasneci, Gjergji Kasneci, Thomas C. Kbler, Wolfgang Rosenstiel |
| 2014 | ICDE | Bootstrapping Wikipedia to answer ambiguous person name queries. | Toni Grtze, Gjergji Kasneci, Zhe Zuo, Felix Naumann |
| 2014 | ICDE | Assigning global relevance scores to DBpedia facts. | Philipp Langer, Patrick Schulze, Stefan George, Matthias Kohnen, Tobias Metzke, Ziawasch Abedjan, Gjergji Kasneci |
| 2013 | ICANN | Online Classification of Eye Tracking Data for Automated Analysis of Traffic Hazard Perception. | Enkelejda Tafaj, Thomas C. Kbler, Gjergji Kasneci, Wolfgang Rosenstiel, Martin Bogdan |
| 2013 | KDD | SIGMa: simple greedy matching for aligning large knowledge bases. | Simon Lacoste-Julien, Konstantina Palla, Alex Davies, Gjergji Kasneci, Thore Graepel, Zoubin Ghahramani |
| 2013 | WWW | Analyzing and predicting viral tweets. | Maximilian Jenders, Gjergji Kasneci, Felix Naumann |
| 2012 | AAMAS | Crowd IQ: aggregating opinions to boost performance. | Yoram Bachrach, Thore Graepel, Gjergji Kasneci, Michal Kosinski, Jurgen Van Gael |
| 2012 | CIKM | Latent topics in graph-structured data. | Christoph Bhm, Gjergji Kasneci, Felix Naumann |
| 2012 | ETRA | Bayesian online clustering of eye movement data. | Enkelejda Tafaj, Gjergji Kasneci, Wolfgang Rosenstiel, Martin Bogdan |
| 2012 | ICWE | Reasoning about Knowledge from the Web - (Extended Abstract). | Gjergji Kasneci |
| 2011 | CIDR | DBrev: Dreaming of a Database Revolution. | Gjergji Kasneci, Jurgen Van Gael, Thore Graepel |
| 2011 | CIKM | Automated feature generation from structured knowledge. | Weiwei Cheng, Gjergji Kasneci, Thore Graepel, David H. Stern, Ralf Herbrich |
| 2011 | WSDM | CoBayes: bayesian knowledge corroboration with assessors of unknown areas of expertise. | Gjergji Kasneci, Jurgen Van Gael, David H. Stern, Thore Graepel |
| 2010 | SIGMOD | Active knowledge: dynamically enriching RDF knowledge bases by web services. | Nicoleta Preda, Gjergji Kasneci, Fabian M. Suchanek, Thomas Neumann, Wenjun Yuan, Gerhard Weikum |
| 2009 | CIKM | MING: mining informative entity relationship subgraphs. | Gjergji Kasneci, Shady Elbassuoni, Gerhard Weikum |
| 2009 | ICDE | STAR: Steiner-Tree Approximation in Relationship Graphs. | Gjergji Kasneci, Maya Ramanath, Mauro Sozio, Fabian M. Suchanek, Gerhard Weikum |
| 2009 | WWW | Graffiti: node labeling in heterogeneous networks. | Ralitsa Angelova, Gjergji Kasneci, Fabian M. Suchanek, Gerhard Weikum |
| 2008 | ICDE | NAGA: Searching and Ranking Knowledge. | Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifrim, Maya Ramanath, Gerhard Weikum |
| 2008 | SIGMOD | NAGA: harvesting, searching and ranking knowledge. | Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifrim, Shady Elbassuoni, Maya Ramanath, Gerhard Weikum |
| 2007 | BTW | YAWN: A Semantically Annotated Wikipedia XML Corpus. | Ralf Schenkel, Fabian M. Suchanek, Gjergji Kasneci |
| 2007 | PODS | The complexity of reasoning about pattern-based XML schemas. | Gjergji Kasneci, Thomas Schwentick |
| 2007 | WWW | How NAGA uncoils: searching with entities and relations. | Gjergji Kasneci, Fabian M. Suchanek, Maya Ramanath, Gerhard Weikum |
| 2007 | WWW | Yago: a core of semantic knowledge. | Fabian M. Suchanek, Gjergji Kasneci, Gerhard Weikum |