| 2025 | A Hybrid Constraint-Based, Greedy, and Local Search Approach for the Transshipment Problem. | Sven Lffler, Viktoria Abbenhaus, George Assaf, Petra Hofstedt |
| 2025 | Numbers Don't Lie: Hybrid Extraction and Validation of Quantitative Statements in Arguments with Semi-structured Information. | Mirko Lenz, Lorik Dumani, Ralf Schenkel, Ralph Bergmann |
| 2025 | On the Domain Robustness of Contrastive Vision-Language Models. | Mario Koddenbrock, Rudolf Hoffmann, David Brodmann, Erik Rodner |
| 2025 | Positional Overload: Positional Debiasing and Context Window Extension for Large Language Models Using Set Encoding. | Lukas Kinder, Lukas Edman, Alexander Fraser, Tobias Kfer |
| 2025 | Intermediate-Task Transfer Learning for Bioacoustic Data. | Hannes Kath, Thiago S. Gouva, Daniel Sonntag |
| 2025 | Toward Simple and Robust Contrastive Explanations for Image Classification by Leveraging Instance Similarity and Concept Relevance. | Yuliia Kaidashova, Bettina Finzel, Ute Schmid |
| 2025 | Makrut Attacks Against Black-Box Explanations. | Achyut Hegde, Maximilian Noppel, Christian Wressnegger |
| 2025 | Balanced Reciprocity for Data Sharing - Axiomatization and Mechanism Design. | Bjrn Filter, Jan Schubsda, Ralf Mller, zgr Ltf zep |
| 2025 | Augmenting Systematic Literature Reviews: A Human-AI Collaborative Framework. | Constantin Brncoveanu, Kim Valerie Carl, Aaron Witzki, Oliver Hinz |
| 2025 | Learn, Optimize, Explain: A Neuro-Symbolic Advisor for Personal Finance. | Youssef Ayman, Nourhan Ehab |
| 2024 | Modal Categorical Inferences in Quarc. | Simon Dominik Vonlanthen, Matteo Pascucci |
| 2024 | Leveraging Weakly Supervised and Multiple Instance Learning for Multi-label Classification of Passive Acoustic Monitoring Data. | Ilira Troshani, Thiago S. Gouva, Daniel Sonntag |
| 2024 | Data Generation for Explainable Occupational Fraud Detection. | Julian Tritscher, Maximilian Wolf, Anna Krause, Andreas Hotho, Daniel Schlr |
| 2024 | Explanatory Interactive Machine Learning with Counterexamples from Constrained Large Language Models. | Emanuel Slany, Stephan Scheele, Ute Schmid |
| 2024 | Graph2RETA: Graph Neural Networks for Pick-up and Delivery Route Prediction and Arrival Time Estimation. | Wilson Sentanoe, Sreyashi Saha, Yasas Diyanananda, Aqsa Manzoor, Buddhika Dasanayake, Daniela Thyssens |
| 2024 | Using the Meaning of Symbol Names to Guide First-Order Logic Reasoning. | Claudia Schon |
| 2024 | SocialCOP: Reusable Building Blocks for Collective Constraint Optimization. | Julia Ruttmann, Alexander Schiendorfer |
| 2024 | Evaluating AI-Based Components in Autonomous Railway Systems - A Methodology. | Jan Robach, Oliver De Candido, Ahmed Hammam, Michael Leuschel |
| 2024 | Uli-RL: A Real-World Deep Reinforcement Learning Pedagogical Agent for Children. | Anna Riedmann, Julia Gtz, Carlo D'Eramo, Birgit Lugrin |
| 2024 | Modeling of Individual Naturalistic Decision Making in a Cognitive Architecture. | Maximilian Plitt, Nele Russwinkel |
| 2024 | Star-Shaped Denoising Diffusion Probabilistic Models (Extended Abstract). | Andrey Okhotin, Dmitry Molchanov, Vladimir Arkhipkin, Grigory Bartosh, Viktor Ohanesian, Aibek Alanov, Dmitry P. Vetrov |
| 2024 | A Brief Systematization of Explanation-Aware Attacks. | Maximilian Noppel, Christian Wressnegger |
| 2024 | Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models. | Malte Luttermann, Ralf Mller, Mattis Hartwig |
| 2024 | Embedding Temporal Description Logic Ontologies by Cone-based Geometric Models. | Mena Leemhuis |
| 2024 | Saxony-Anhalt is the Worst: Bias Towards German Federal States in Large Language Models. | Anna M. Kruspe, Mila Stillman |