KI 2025

.- Full Technical Papers. .- Augmenting Systematic Literature Reviews: A Human-AI Collaborative Framework. .- Balanced Reciprocity for Data Sharing - Axiomatization and Mechanism Design. .- Toward Short and Robust Contrastive Explanations for Image Classification by Leveraging Instance Similarity and Concept Relevance. .- Intermediate-Task Transfer Learning for Bioacoustic Data. .- On the Domain Robustness of Contrastive Vision-Language Models. .- Numbers Don’t Lie: Hybrid Extraction and Validation of Quantitative Statements in Arguments with Semi-Structured Information. .- A Hybrid Constraint-Based, Greedy, and Local Search Approach for the Transshipment Problem. .- Re-examining learning linear functions in context. .- ODExAI: A Comprehensive Object Detection Explainable AI Evaluation. .- Enhancing Semi-Supervised Learning with a Meta-Feature Based Safeguard System. .- Ca¨ıssa AI: A Neuro-Symbolic Chess Agent for Explainable Move Suggestion and Grounded Commentary. .- Unsupervised Selection of Features by their Resilience to the Curse of Dimensionality. .- Development of Hybrid Artificial Intelligence Training on Real and Synthetic Data. .- Towards Systematic Evaluation of Computer Vision Models under Data Anonymization. .- Accessible Language Simplification: Large Language Models for Generating Easy German. .- Technical Communications. .- Learn, Optimize, Explain: A Neuro-Symbolic Advisor for Personal Finance. .- Deep learning emulators for large-scale, high-resolution urban pluvial flood prediction. .- Towards Observing the Effect of Abstraction on Understandability of Explanations in Answer Set Programming. .- XAIRob — An Explainable-AI-Based Relative Robustness Measure for Object Detection. .- LLMs for Easy Language Translation: A Case Study on German Public Authorities Web Pages. .- Re-Evaluating the Robustness and Interpretability of the Contrastive Explanations Method for Image Classification. .- Visualizing and Interpreting Neural Network Focus Regions: A Comparative Study of Vision Transformers on Synthetic and Real Data. .- Comparing the visual quality of deep generative models for steel microstructures. .- Extended Abstracts. .- Makrut Attacks Against Black-Box Explanations. .- Positional Overload: Positional Debiasing and Context Window Extension for Large Language Models using Set Encoding. .- Exploiting Contexts of LLM-based Code-Completion. .- The origins of AI research in the Federal Republic of Germany. .- Probabilities of the Third Type: Statistical Relational Learning and Reasoning with Relative Frequencies.