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Full Papers

Augmenting Systematic Literature Reviews: A Human-AI Collaborative FrameworkConstantin Brîncoveanu, K Valerie Carl, Aaron Witzki and Oliver Hinz
Balanced Reciprocity for Data Sharing - Axiomatization and Mechanism DesignBjörn Filter, Jan Schubsda, Ralf Möller and Özgür Lütfü Özçep
Toward Short and Robust Contrastive Explanations for Image Classification by Leveraging Instance Similarity and Concept RelevanceYuliia Kaidashova, Bettina Finzel and Ute Schmid
Intermediate-Task Transfer Learning for Bioacoustic DataHannes Kath, Thiago S. Gouvêa and Daniel Sonntag
On the Domain Robustness of Contrastive Vision-Language ModelsMario Koddenbrock, Rudolf Hoffmann, David Brodmann and Erik Rodner
Numbers Don't Lie: Hybrid Extraction and Validation of Quantitative Statements in Arguments with Semi-Structured InformationMirko Lenz, Lorik Dumani, Ralf Schenkel and Ralph Bergmann
A Hybrid Constraint-Based, Greedy, and Local Search Approach for the Transshipment ProblemSven Löffler, Viktoria Abbenhaus, George Assaf and Petra Hofstedt
Re-examining learning linear functions in contextOmar Naim, Guilhem Fouilhé and Nicholas Asher
ODExAI: A Comprehensive Object Detection Explainable AI EvaluationPhuc Truong Loc Nguyen, Truong Thanh Hung Nguyen and Hung Cao
Enhancing Semi-Supervised Learning with a Meta-Feature Based Safeguard SystemMartin Schumann
Caïssa AI: A Neuro-Symbolic Chess Agent for Explainable Move Suggestion and Grounded CommentaryMazen Soliman and Nourhan Ehab
Unsupervised Selection of Features by their Resilience to the Curse of DimensionalityMaximilian Stubbemann, Tobias Hille and Tom Hanika
Development of Hybrid Artificial Intelligence Training on Real and Synthetic DataPaul Wachter, Lukas Niehaus and Julius Schoening
Towards Systematic Evaluation of Computer Vision Models under Data AnonymizationSarah Weiß, Christopher Bonenberger, Tobias Niedermaier, Maik Knof, Benjamin Stähle and Markus Schneider
Accessible Language Simplification: Large Language Models for Generating Easy GermanRaeesa Yousaf, Marina Walther and Michael Gertz

Technical Communications

Learn, Optimize, Explain: A Neuro-Symbolic Advisor for Personal FinanceYoussef Ayman and Nourhan Ehab
Deep learning emulators for large-scale, high-resolution urban pluvial flood predictionDinesh Krishna Natarajan, Marco Stricker, Rushan Mukherjee, Marcela Charfuelan, Marlon Nuske and Andreas Dengel
Towards Observing the Effect of Abstraction on Understandability of Explanations in Answer Set ProgrammingZeynep G. Saribatur, Johannes Langer, Anna M. Thaler and Ute Schmid
XAIRob --- An Explainable-AI-Based Relative Robustness Measure for Object DetectionBenedikt Schlereth-Groh, Ramin Tavakoli Kolagari and Ute Schmid
LLMs for Easy Language Translation: A Case Study on German Public Authorities Web PagesThorben Schomacker, Burak Tinman, Chris Biemann and Marina Tropmann-Frick
Re-Evaluating the Robustness and Interpretability of the Contrastive Explanations Method for Image ClassificationLuisa Schneider, Bettina Finzel and Ute Schmid
Visualizing and Interpreting Neural Network Focus Regions: A Comparative Study of Vision Transformers on Synthetic and Real DataDenis Trescher, Waldemar Haag and Enrico Schröder
Comparing the visual quality of deep generative models for steel microstructuresMarcel Wentzien, Jerome Ingber, Jörg Schlötterer and Dirk Schmalzried

Extended Abstracts

Makrut Attacks Against Black-Box ExplanationsAchyut Hegde, Maximilian Noppel and Christian Wressnegger
Positional Overload: Positional Debiasing and Context Window Extension for Large Language Models using Set EncodingLukas Kinder, Lukas Edman, Alexander Fraser and Tobias Käfer
Exploiting Contexts of LLM-based Code-CompletionMaximilian Noppel, Karl Rubel and Christian Wressnegger
The origins of AI research in the Federal Republic of GermanyRudolf Seising
Probabilities of the Third Type: Statistical Relational Learning and Reasoning with Relative FrequenciesFelix Weitkämper